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Likelihood_tutorial_gammarays.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Tutorial\n",
"=========================\n",
"Fermi LAT Likelihood Analysis\n",
"-------------------------\n",
"*Oscar Macias, Kavli IPMU & GRAPPA [oscar.macias@vt.edu]*\n",
"\n",
"**Goal:** *Understand and Complete a simple likelihood analysis*\n",
"\n",
" - link to this tutorial: https://mega.nz/#F!XFp13Rhb!TE1tBwZ1HZyobQ3kB9lywg"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Highlights of Fermi Science:\n",
"\n",
"* Discovery of the Fermi Bubbles\n",
"![Fermi_bubbles](Fermi_bubbles.jpg)\n",
"![Fermi_bubbles2](Fermi_bubbles2.jpg)\n",
"Gigantic gamma-ray-emitting structures in our Milky Way galaxy were likely produced by a large energy release from the central black hole several million years ago.\n",
"\n",
"\n",
"- Revelation that the Crab Nebula is not a steady source of gamma-rays\n",
"![crab](crab.jpg)\n",
"\n",
"Dramatic flares with sub-hourly variability indicate sites within the inner nebula accelerate electrons to the highest energies associated with any single known cosmic object.\n",
"- Elimination of some popular models of dark matter\n",
"![DM](DM.png)\n",
"\n",
"Fermi is the only indirect dark matter experiment to set constraints on Weakly Interacting Massive Particle (WIMP) annihilation down to the limit expected from thermal relics.\n",
"- Proof that cosmic-ray protons can be produced in supernova remnants\n",
"![W28](W28.jpg)\n",
"\n",
"Distinctive gamma-ray signature of neutral pion decay confirms the hypothesis that protons can be accelerated to cosmic-ray energies in remnants.\n",
"- New view of the universe!\n",
"![3fgl](3fgl.png)\n",
"\n",
"Factor of 10 increase in known gamma-ray sources from 100 MeV to 300 GeV accompanied by factor of 5 increase in gamma-ray source classes. Enabled discovery of ~1/3 of all known Galactic field millisecond pulsars, unique probes of neutron star physics and significant additions to those used for gravitational wave searches with pulsar timing arrays.\n",
"\n",
"- Discovery of gamma-ray novae\n",
"![novae](novae.jpg)\n",
"\n",
"\n",
"- Direct support for Einstein's proposed Lorentz invariance (constant speed of light for all energies)\n",
"\n",
"- Summary:\n",
"![FermiHighlights](FermiHighlights.png)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Goals of Any Analysis\n",
"============================\n",
"* Test for presence of a source, measure its position in the sky\n",
"* Extract fluxes of sources of interest. Measure flux vs. time (“lightcurve”) to test for variability.\n",
"* Measure spectra of sources\n",
" * Parameters of fitted spectral type, e.g. index of power-law, energy of exponential cut-off, or “super”-exponential cutoff (pulsars)\n",
" * Flux as function of energy (“flux in bands”) \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Installation Instructions of the Fermi Science Tools\n",
"==========================\n",
"\n",
"In your .bashrc profile include the following lines:\n",
"\n",
"- export FERMI_DIR=~/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.17/x86_64-unknown-linux-gnu-libc2.17/ \n",
"- source \\$FERMI_DIR/fermi-init.sh \n",
"- export DYLD_INSERT_LIBRARIES=$FERMI_DIR/lib/libf2c.so \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"ScienceTools\n",
"=======================\n",
"* MLE and hypothesis testing is implemented for Fermi LAT data using ScienceTools.\n",
"* Data selection and binning into channels.\n",
"* Assists in producing of high-level sky model consisting of gamma-ray sources.\n",
"* Transforms sky model into low-level Poisson model for each channel (observational response).\n",
"* Estimation of parameters through optimization (“minimization”) using log-likelihood.\n",
"* Calculation of upper limits."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data Exploration\n",
"==========================\n",
"* Photon files - list of photons in FITS format\n",
" * Browser: http://fermi.gsfc.nasa.gov/cgi-bin/ssc/LAT/LATDataQuery.cgi\n",
" * All-sky: https://heasarc.gsfc.nasa.gov/FTP/fermi/data/lat/weekly/extended/\n",
"* Events reconstructed @SLAC and consist of:\n",
" * Estimate of direction of origin\n",
" * Estimate of the energy\n",
" * “Probability” of being gamma ray (event classification)\n",
" * Zenith angle, conversion point (front or back), detection time, ..."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data Before Cuts (4.8 years)\n",
"=============================\n",
"\n",
"![cmap_nocuts](cmap_nocuts.png)\n",
"\n",
"* Data set that we would like to analyze (using ML).\n",
"* Or in fact, it is a simplification.. the energy and time dependence are not shown! "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Data Set with Sensible Cuts\n",
"=============================\n",
"Appy Selection\n",
"* Zenith cut to remove photons from the Earth (∠Zn < 90deg)\n",
"* Photon class to select best reconstructed and lowest background (P8R2_Clean_V6)\n",
"\n",
"![fullskywithcut](cmap_z100.png)\n",
"\n",
"* Some part of the “background” can be removed: “cuts”. \n",
"* Makes it easier to model (remaining) data.\n",
"* Rest cannot easily be separated: must be modeled. "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Region of Interest\n",
"=========================\n",
"\n",
"![fullskyannote](cmap_z100_wCirc.png)\n",
"\n",
"3C 279 (also known as 4C–05.55, NRAO 413, and PKS 1253–05) is an optically violent variable quasar (OVV), which is known in the astronomical community for its variations in the visible, radio, and x-ray bands.[2] The quasar was observed to have undergone a period of extreme activity from 1987 until 1991.[3] The Rosemary Hill Observatory (RHO) started observing 3C 279 in 1971,[3] the object was further observed by the Compton Gamma Ray Observatory in 1991, when it was unexpectedly discovered to be one of the brightest gamma ray objects in the sky.[4] It is also one of the brightest and most variable sources in the gamma ray sky monitored by the Fermi Space Telescope. [wiki]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Comments:\n",
"* Don’t have to analyze full sky at once! Select a region of interest (ROI) around source.\n",
"* Larger: better measure background (>TS)\n",
"* Smaller: faster & lower background subtraction systematics (maybe!)\n",
"* About 20 degrees is good compromise."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### gtselect (filter in python) \n",
"\n",
"* Data are already filtered when you get them from the FSSC \n",
"* gtselect is used to do more filtering\n",
"* inputs include a list of event files\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import matplotlib.pyplot as plt\n",
"from matplotlib import transforms\n",
"from matplotlib import rc\n",
"from IPython.display import Image\n",
"import numpy as np\n",
"from astropy.io import fits as pyfits"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"rc('font', **{'size' : 22})"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from gt_apps import filter"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"' infile= outfile= ra=\"INDEF\" dec=\"INDEF\" rad=\"INDEF\" tmin=\"INDEF\" tmax=\"INDEF\" emin=30.0 emax=300000.0 zmin=0.0 zmax=180.0 evclass=\"INDEF\" evclsmin=0 evclsmax=10 evtype=\"INDEF\" convtype=-1 phasemin=0.0 phasemax=1.0 evtable=\"EVENTS\" chatter=2 clobber=yes debug=no gui=no mode=\"ql\"'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filter.pars()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### get the data\n",
"\n",
"* https://fermi.gsfc.nasa.gov/cgi-bin/ssc/LAT/LATDataQuery.cgi\n",
"![fermi_data](fermi_data.png)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"--2018-08-24 08:16:11-- https://fermi.gsfc.nasa.gov/FTP/fermi/data/lat/queries/L1808240913061E05834179_PH00.fits\n",
"Resolving fermi.gsfc.nasa.gov (fermi.gsfc.nasa.gov)... 129.164.179.26, 2001:4d0:2310:150::26\n",
"Connecting to fermi.gsfc.nasa.gov (fermi.gsfc.nasa.gov)|129.164.179.26|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 5650560 (5.4M) [application/fits]\n",
"Saving to: ‘L1808240913061E05834179_PH00.fits’\n",
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"\n",
"2018-08-24 08:16:23 (488 KB/s) - ‘L1808240913061E05834179_PH00.fits’ saved [5650560/5650560]\n",
"\n",
"--2018-08-24 08:16:23-- https://fermi.gsfc.nasa.gov/FTP/fermi/data/lat/queries/L1808240913061E05834179_SC00.fits\n",
"Resolving fermi.gsfc.nasa.gov (fermi.gsfc.nasa.gov)... 129.164.179.26, 2001:4d0:2310:150::26\n",
"Connecting to fermi.gsfc.nasa.gov (fermi.gsfc.nasa.gov)|129.164.179.26|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 67680000 (65M) [application/fits]\n",
"Saving to: ‘L1808240913061E05834179_SC00.fits’\n",
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" 1750K .......... .......... .......... .......... .......... 2% 266K 5m15s\n",
" 1800K .......... .......... .......... .......... .......... 2% 170K 5m16s\n",
" 1850K .......... .......... .......... .......... .......... 2% 98.0K 5m25s\n",
" 1900K .......... .......... .......... .......... .......... 2% 62.9K 5m42s\n",
" 1950K .......... .......... .......... .......... .......... 3% 47.7K 6m7s\n",
" 2000K .......... .......... .......... .......... .......... 3% 33.9K 6m44s\n",
" 2050K .......... .......... .......... .......... .......... 3% 29.2K 7m26s\n",
" 2100K .......... .......... .......... .......... .......... 3% 42.7K 7m50s\n",
" 2150K .......... .......... .......... .......... .......... 3% 25.5K 8m36s\n",
" 2200K .......... .......... .......... .......... .......... 3% 21.8K 9m29s\n",
" 2250K .......... .......... .......... .......... .......... 3% 21.6K 10m21s\n",
" 2300K .......... .......... .......... .......... .......... 3% 68.4K 10m27s\n",
" 2350K .......... .......... .......... .......... .......... 3% 30.3K 10m57s\n",
" 2400K .......... .......... .......... .......... .......... 3% 29.6K 11m27s\n",
" 2450K .......... .......... .......... .......... .......... 3% 40.0K 11m45s\n",
" 2500K .......... .......... .......... .......... .......... 3% 46.7K 11m57s\n",
" 2550K .......... .......... .......... .......... .......... 3% 385K 11m46s\n",
" 2600K .......... .......... .......... .......... .......... 4% 37.9K 12m4s\n",
" 2650K .......... .......... .......... .......... .......... 4% 36.7K 12m22s\n",
" 2700K .......... .......... .......... .......... .......... 4% 37.6K 12m38s\n",
" 2750K .......... .......... .......... .......... .......... 4% 34.6K 12m57s\n",
" 2800K .......... .......... .......... .......... .......... 4% 62.1K 13m0s\n",
" 2850K .......... .......... .......... .......... .......... 4% 35.2K 13m17s\n",
" 2900K .......... .......... .......... .......... .......... 4% 27.8K 13m42s\n",
" 2950K .......... .......... .......... .......... .......... 4% 24.6K 14m10s\n",
" 3000K .......... .......... .......... .......... .......... 4% 23.8K 14m39s\n",
" 3050K .......... .......... .......... .......... .......... 4% 25.1K 15m4s\n",
" 3100K .......... .......... .......... .......... .......... 4% 66.6K 15m4s\n",
" 3150K .......... .......... .......... .......... .......... 4% 24.3K 15m30s\n",
" 3200K .......... .......... .......... .......... .......... 4% 32.0K 15m45s\n",
" 3250K .......... .......... .......... .......... .......... 4% 37.0K 15m56s\n",
" 3300K .......... .......... .......... .......... .......... 5% 316K 15m44s\n",
" 3350K .......... .......... .......... .......... .......... 5% 32.0K 15m58s\n",
" 3400K .......... .......... .......... .......... .......... 5% 29.8K 16m14s\n",
" 3450K .......... .......... .......... .......... .......... 5% 24.9K 16m35s\n",
" 3500K .......... .......... .......... .......... .......... 5% 22.2K 17m0s\n",
" 3550K .......... .......... .......... .......... .......... 5% 26.1K 17m18s\n",
" 3600K .......... .......... .......... .......... .......... 5% 77.8K 17m14s\n",
" 3650K .......... .......... .......... .......... .......... 5% 14.5K 17m57s\n",
" 3700K .......... .......... .......... .......... .......... 5% 53.8M 17m42s\n",
" 3750K .......... .......... .......... .......... .......... 5% 12.8K 18m31s\n",
" 3800K .......... .......... .......... .......... .......... 5% 63.4K 18m29s\n",
" 3850K .......... .......... .......... .......... .......... 5% 44.7K 18m32s\n",
" 3900K .......... .......... .......... .......... .......... 5% 98.0K 18m25s\n",
" 3950K .......... .......... .......... .......... .......... 6% 89.0K 18m19s\n",
" 4000K .......... .......... .......... .......... .......... 6% 167K 18m9s\n",
" 4050K .......... .......... .......... .......... .......... 6% 102K 18m2s\n",
" 4100K .......... .......... .......... .......... .......... 6% 65.7K 18m0s\n",
" 4150K .......... .......... .......... .......... .......... 6% 385K 17m48s\n",
" 4200K .......... .......... .......... .......... .......... 6% 552K 17m36s\n",
" 4250K .......... .......... .......... .......... .......... 6% 201K 17m26s\n",
" 4300K .......... .......... .......... .......... .......... 6% 96.8K 17m21s\n",
" 4350K .......... .......... .......... .......... .......... 6% 154K 17m12s\n",
" 4400K .......... .......... .......... .......... .......... 6% 238K 17m3s\n",
" 4450K .......... .......... .......... .......... .......... 6% 250K 16m53s\n",
" 4500K .......... .......... .......... .......... .......... 6% 135K 16m47s\n",
" 4550K .......... .......... .......... .......... .......... 6% 56.0K 16m47s\n",
" 4600K .......... .......... .......... .......... .......... 7% 77.2K 16m44s\n",
" 4650K .......... .......... .......... .......... .......... 7% 47.3K 16m46s\n",
" 4700K .......... .......... .......... .......... .......... 7% 38.5K 16m51s\n",
" 4750K .......... .......... .......... .......... .......... 7% 30.5K 17m1s\n",
" 4800K .......... .......... .......... .......... .......... 7% 30.5K 17m10s\n",
" 4850K .......... .......... .......... .......... .......... 7% 24.7K 17m24s\n",
" 4900K .......... .......... .......... .......... .......... 7% 16.5K 17m50s\n",
" 4950K .......... .......... .......... .......... .......... 7% 46.2K 17m52s\n",
" 5000K .......... .......... .......... .......... .......... 7% 186K 17m44s\n",
" 5050K .......... .......... .......... .......... .......... 7% 461K 17m34s\n",
" 5100K .......... .......... .......... .......... .......... 7% 428K 17m24s\n",
" 5150K .......... .......... .......... .......... .......... 7% 444K 17m14s\n",
" 5200K .......... .......... .......... .......... .......... 7% 535K 17m5s\n",
" 5250K .......... .......... .......... .......... .......... 8% 461K 16m56s\n",
" 5300K .......... .......... .......... .......... .......... 8% 496K 16m46s\n",
" 5350K .......... .......... .......... .......... .......... 8% 628K 16m37s\n",
" 5400K .......... .......... .......... .......... .......... 8% 553K 16m28s\n",
" 5450K .......... .......... .......... .......... .......... 8% 502K 16m19s\n",
" 5500K .......... .......... .......... .......... .......... 8% 550K 16m11s\n",
" 5550K .......... .......... .......... .......... .......... 8% 564K 16m2s\n",
" 5600K .......... .......... .......... .......... .......... 8% 525K 15m54s\n",
" 5650K .......... .......... .......... .......... .......... 8% 547K 15m46s\n",
" 5700K .......... .......... .......... .......... .......... 8% 651K 15m38s\n",
" 5750K .......... .......... .......... .......... .......... 8% 543K 15m30s\n",
" 5800K .......... .......... .......... .......... .......... 8% 566K 15m22s\n",
" 5850K .......... .......... .......... .......... .......... 8% 521K 15m14s\n",
" 5900K .......... .......... .......... .......... .......... 9% 501K 15m7s\n",
" 5950K .......... .......... .......... .......... .......... 9% 571K 15m0s\n",
" 6000K .......... .......... .......... .......... .......... 9% 606K 14m52s\n",
" 6050K .......... .......... .......... .......... .......... 9% 563K 14m45s\n",
" 6100K .......... .......... .......... .......... .......... 9% 559K 14m38s\n",
" 6150K .......... .......... .......... .......... .......... 9% 542K 14m31s\n",
" 6200K .......... .......... .......... .......... .......... 9% 609K 14m24s\n",
" 6250K .......... .......... .......... .......... .......... 9% 607K 14m17s\n",
" 6300K .......... .......... .......... .......... .......... 9% 550K 14m11s\n",
" 6350K .......... .......... .......... .......... .......... 9% 587K 14m4s\n",
" 6400K .......... .......... .......... .......... .......... 9% 566K 13m58s\n",
" 6450K .......... .......... .......... .......... .......... 9% 540K 13m51s\n",
" 6500K .......... .......... .......... .......... .......... 9% 584K 13m45s\n",
" 6550K .......... .......... .......... .......... .......... 9% 728K 13m39s\n",
" 6600K .......... .......... .......... .......... .......... 10% 583K 13m33s\n",
" 6650K .......... .......... .......... .......... .......... 10% 552K 13m27s\n",
" 6700K .......... .......... .......... .......... .......... 10% 559K 13m21s\n",
" 6750K .......... .......... .......... .......... .......... 10% 565K 13m15s\n",
" 6800K .......... .......... .......... .......... .......... 10% 661K 13m9s\n",
" 6850K .......... .......... .......... .......... .......... 10% 559K 13m4s\n",
" 6900K .......... .......... .......... .......... .......... 10% 534K 12m58s\n",
" 6950K .......... .......... .......... .......... .......... 10% 619K 12m53s\n",
" 7000K .......... .......... .......... .......... .......... 10% 564K 12m47s\n",
" 7050K .......... .......... .......... .......... .......... 10% 498K 12m42s\n",
" 7100K .......... .......... .......... .......... .......... 10% 563K 12m37s\n",
" 7150K .......... .......... .......... .......... .......... 10% 602K 12m32s\n",
" 7200K .......... .......... .......... .......... .......... 10% 549K 12m27s\n",
" 7250K .......... .......... .......... .......... .......... 11% 562K 12m22s\n",
" 7300K .......... .......... .......... .......... .......... 11% 595K 12m17s\n",
" 7350K .......... .......... .......... .......... .......... 11% 524K 12m12s\n",
" 7400K .......... .......... .......... .......... .......... 11% 573K 12m7s\n",
" 7450K .......... .......... .......... .......... .......... 11% 704K 12m2s\n",
" 7500K .......... .......... .......... .......... .......... 11% 578K 11m57s\n",
" 7550K .......... .......... .......... .......... .......... 11% 572K 11m53s\n",
" 7600K .......... .......... .......... .......... .......... 11% 524K 11m48s\n",
" 7650K .......... .......... .......... .......... .......... 11% 559K 11m44s\n",
" 7700K .......... .......... .......... .......... .......... 11% 617K 11m39s\n",
" 7750K .......... .......... .......... .......... .......... 11% 584K 11m35s\n",
" 7800K .......... .......... .......... .......... .......... 11% 524K 11m30s\n",
" 7850K .......... .......... .......... .......... .......... 11% 622K 11m26s\n",
" 7900K .......... .......... .......... .......... .......... 12% 558K 11m22s\n",
" 7950K .......... .......... .......... .......... .......... 12% 559K 11m17s\n",
" 8000K .......... .......... .......... .......... .......... 12% 600K 11m13s\n",
" 8050K .......... .......... .......... .......... .......... 12% 567K 11m9s\n",
" 8100K .......... .......... .......... .......... .......... 12% 556K 11m5s\n",
" 8150K .......... .......... .......... .......... .......... 12% 277K 11m2s\n",
" 8200K .......... .......... .......... .......... .......... 12% 82.0K 11m1s\n",
" 8250K .......... .......... .......... .......... .......... 12% 160K 10m59s\n",
" 8300K .......... .......... .......... .......... .......... 12% 372K 10m56s\n",
" 8350K .......... .......... .......... .......... .......... 12% 284K 10m52s\n",
" 8400K .......... .......... .......... .......... .......... 12% 469K 10m49s\n",
" 8450K .......... .......... .......... .......... .......... 12% 300K 10m45s\n",
" 8500K .......... .......... .......... .......... .......... 12% 336K 10m42s\n",
" 8550K .......... .......... .......... .......... .......... 13% 490K 10m38s\n",
" 8600K .......... .......... .......... .......... .......... 13% 427K 10m35s\n",
" 8650K .......... .......... .......... .......... .......... 13% 421K 10m32s\n",
" 8700K .......... .......... .......... .......... .......... 13% 392K 10m28s\n",
" 8750K .......... .......... .......... .......... .......... 13% 579K 10m25s\n",
" 8800K .......... .......... .......... .......... .......... 13% 365K 10m21s\n",
" 8850K .......... .......... .......... .......... .......... 13% 474K 10m18s\n",
" 8900K .......... .......... .......... .......... .......... 13% 555K 10m15s\n",
" 8950K .......... .......... .......... .......... .......... 13% 468K 10m11s\n",
" 9000K .......... .......... .......... .......... .......... 13% 543K 10m8s\n",
" 9050K .......... .......... .......... .......... .......... 13% 481K 10m5s\n",
" 9100K .......... .......... .......... .......... .......... 13% 526K 10m2s\n",
" 9150K .......... .......... .......... .......... .......... 13% 789K 9m58s\n",
" 9200K .......... .......... .......... .......... .......... 13% 542K 9m55s\n",
" 9250K .......... .......... .......... .......... .......... 14% 515K 9m52s\n",
" 9300K .......... .......... .......... .......... .......... 14% 568K 9m49s\n",
" 9350K .......... .......... .......... .......... .......... 14% 600K 9m46s\n",
" 9400K .......... .......... .......... .......... .......... 14% 447K 9m43s\n",
" 9450K .......... .......... .......... .......... .......... 14% 394K 9m40s\n",
" 9500K .......... .......... .......... .......... .......... 14% 583K 9m37s\n",
" 9550K .......... .......... .......... .......... .......... 14% 580K 9m34s\n",
" 9600K .......... .......... .......... .......... .......... 14% 562K 9m31s\n",
" 9650K .......... .......... .......... .......... .......... 14% 595K 9m28s\n",
" 9700K .......... .......... .......... .......... .......... 14% 564K 9m25s\n",
" 9750K .......... .......... .......... .......... .......... 14% 646K 9m22s\n",
" 9800K .......... .......... .......... .......... .......... 14% 432K 9m19s\n",
" 9850K .......... .......... .......... .......... .......... 14% 826K 9m16s\n",
" 9900K .......... .......... .......... .......... .......... 15% 449K 9m14s\n",
" 9950K .......... .......... .......... .......... .......... 15% 571K 9m11s\n",
" 10000K .......... .......... .......... .......... .......... 15% 713K 9m8s\n",
" 10050K .......... .......... .......... .......... .......... 15% 522K 9m5s\n",
" 10100K .......... .......... .......... .......... .......... 15% 531K 9m3s\n",
" 10150K .......... .......... .......... .......... .......... 15% 606K 9m0s\n",
" 10200K .......... .......... .......... .......... .......... 15% 522K 8m58s\n",
" 10250K .......... .......... .......... .......... .......... 15% 256K 8m55s\n",
" 10300K .......... .......... .......... .......... .......... 15% 96.2K 8m55s\n",
" 10350K .......... .......... .......... .......... .......... 15% 148K 8m54s\n",
" 10400K .......... .......... .......... .......... .......... 15% 361K 8m52s\n",
" 10450K .......... .......... .......... .......... .......... 15% 259K 8m50s\n",
" 10500K .......... .......... .......... .......... .......... 15% 316K 8m48s\n",
" 10550K .......... .......... .......... .......... .......... 16% 454K 8m45s\n",
" 10600K .......... .......... .......... .......... .......... 16% 361K 8m43s\n",
" 10650K .......... .......... .......... .......... .......... 16% 415K 8m41s\n",
" 10700K .......... .......... .......... .......... .......... 16% 176K 8m39s\n",
" 10750K .......... .......... .......... .......... .......... 16% 55.9K 8m41s\n",
" 10800K .......... .......... .......... .......... .......... 16% 228K 8m39s\n",
" 10850K .......... .......... .......... .......... .......... 16% 178K 8m38s\n",
" 10900K .......... .......... .......... .......... .......... 16% 278K 8m36s\n",
" 10950K .......... .......... .......... .......... .......... 16% 250K 8m34s\n",
" 11000K .......... .......... .......... .......... .......... 16% 348K 8m32s\n",
" 11050K .......... .......... .......... .......... .......... 16% 254K 8m30s\n",
" 11100K .......... .......... .......... .......... .......... 16% 348K 8m28s\n",
" 11150K .......... .......... .......... .......... .......... 16% 285K 8m26s\n",
" 11200K .......... .......... .......... .......... .......... 17% 230K 8m25s\n",
" 11250K .......... .......... .......... .......... .......... 17% 61.7K 8m26s\n",
" 11300K .......... .......... .......... .......... .......... 17% 160K 8m25s\n",
" 11350K .......... .......... .......... .......... .......... 17% 183K 8m23s\n",
" 11400K .......... .......... .......... .......... .......... 17% 249K 8m22s\n",
" 11450K .......... .......... .......... .......... .......... 17% 295K 8m20s\n",
" 11500K .......... .......... .......... .......... .......... 17% 250K 8m18s\n",
" 11550K .......... .......... .......... .......... .......... 17% 260K 8m16s\n",
" 11600K .......... .......... .......... .......... .......... 17% 265K 8m15s\n",
" 11650K .......... .......... .......... .......... .......... 17% 376K 8m13s\n",
" 11700K .......... .......... .......... .......... .......... 17% 410K 8m11s\n",
" 11750K .......... .......... .......... .......... .......... 17% 299K 8m9s\n",
" 11800K .......... .......... .......... .......... .......... 17% 325K 8m7s\n",
" 11850K .......... .......... .......... .......... .......... 18% 363K 8m5s\n",
" 11900K .......... .......... .......... .......... .......... 18% 419K 8m3s\n",
" 11950K .......... .......... .......... .......... .......... 18% 432K 8m1s\n",
" 12000K .......... .......... .......... .......... .......... 18% 493K 7m59s\n",
" 12050K .......... .......... .......... .......... .......... 18% 381K 7m58s\n",
" 12100K .......... .......... .......... .......... .......... 18% 456K 7m56s\n",
" 12150K .......... .......... .......... .......... .......... 18% 484K 7m54s\n",
" 12200K .......... .......... .......... .......... .......... 18% 488K 7m52s\n",
" 12250K .......... .......... .......... .......... .......... 18% 557K 7m50s\n",
" 12300K .......... .......... .......... .......... .......... 18% 535K 7m48s\n",
" 12350K .......... .......... .......... .......... .......... 18% 567K 7m46s\n",
" 12400K .......... .......... .......... .......... .......... 18% 581K 7m44s\n",
" 12450K .......... .......... .......... .......... .......... 18% 595K 7m42s\n",
" 12500K .......... .......... .......... .......... .......... 18% 592K 7m40s\n",
" 12550K .......... .......... .......... .......... .......... 19% 536K 7m38s\n",
" 12600K .......... .......... .......... .......... .......... 19% 569K 7m37s\n",
" 12650K .......... .......... .......... .......... .......... 19% 558K 7m35s\n",
" 12700K .......... .......... .......... .......... .......... 19% 565K 7m33s\n",
" 12750K .......... .......... .......... .......... .......... 19% 566K 7m31s\n",
" 12800K .......... .......... .......... .......... .......... 19% 529K 7m29s\n",
" 12850K .......... .......... .......... .......... .......... 19% 647K 7m27s\n",
" 12900K .......... .......... .......... .......... .......... 19% 544K 7m26s\n",
" 12950K .......... .......... .......... .......... .......... 19% 521K 7m24s\n",
" 13000K .......... .......... .......... .......... .......... 19% 518K 7m22s\n",
" 13050K .......... .......... .......... .......... .......... 19% 589K 7m20s\n",
" 13100K .......... .......... .......... .......... .......... 19% 581K 7m19s\n",
" 13150K .......... .......... .......... .......... .......... 19% 580K 7m17s\n",
" 13200K .......... .......... .......... .......... .......... 20% 664K 7m15s\n",
" 13250K .......... .......... .......... .......... .......... 20% 462K 7m14s\n",
" 13300K .......... .......... .......... .......... .......... 20% 556K 7m12s\n",
" 13350K .......... .......... .......... .......... .......... 20% 578K 7m10s\n",
" 13400K .......... .......... .......... .......... .......... 20% 531K 7m9s\n",
" 13450K .......... .......... .......... .......... .......... 20% 592K 7m7s\n",
" 13500K .......... .......... .......... .......... .......... 20% 583K 7m5s\n",
" 13550K .......... .......... .......... .......... .......... 20% 628K 7m4s\n",
" 13600K .......... .......... .......... .......... .......... 20% 508K 7m2s\n",
" 13650K .......... .......... .......... .......... .......... 20% 732K 7m0s\n",
" 13700K .......... .......... .......... .......... .......... 20% 464K 6m59s\n",
" 13750K .......... .......... .......... .......... .......... 20% 577K 6m57s\n",
" 13800K .......... .......... .......... .......... .......... 20% 799K 6m56s\n",
" 13850K .......... .......... .......... .......... .......... 21% 483K 6m54s\n",
" 13900K .......... .......... .......... .......... .......... 21% 501K 6m53s\n",
" 13950K .......... .......... .......... .......... .......... 21% 792K 6m51s\n",
" 14000K .......... .......... .......... .......... .......... 21% 501K 6m49s\n",
" 14050K .......... .......... .......... .......... .......... 21% 533K 6m48s\n",
" 14100K .......... .......... .......... .......... .......... 21% 646K 6m46s\n",
" 14150K .......... .......... .......... .......... .......... 21% 414K 6m45s\n",
" 14200K .......... .......... .......... .......... .......... 21% 552K 6m44s\n",
" 14250K .......... .......... .......... .......... .......... 21% 591K 6m42s\n",
" 14300K .......... .......... .......... .......... .......... 21% 435K 6m41s\n",
" 14350K .......... .......... .......... .......... .......... 21% 763K 6m39s\n",
" 14400K .......... .......... .......... .......... .......... 21% 537K 6m38s\n",
" 14450K .......... .......... .......... .......... .......... 21% 541K 6m36s\n",
" 14500K .......... .......... .......... .......... .......... 22% 594K 6m35s\n",
" 14550K .......... .......... .......... .......... .......... 22% 555K 6m33s\n",
" 14600K .......... .......... .......... .......... .......... 22% 506K 6m32s\n",
" 14650K .......... .......... .......... .......... .......... 22% 529K 6m31s\n",
" 14700K .......... .......... .......... .......... .......... 22% 490K 6m29s\n",
" 14750K .......... .......... .......... .......... .......... 22% 915K 6m28s\n",
" 14800K .......... .......... .......... .......... .......... 22% 549K 6m26s\n",
" 14850K .......... .......... .......... .......... .......... 22% 557K 6m25s\n",
" 14900K .......... .......... .......... .......... .......... 22% 542K 6m24s\n",
" 14950K .......... .......... .......... .......... .......... 22% 596K 6m22s\n",
" 15000K .......... .......... .......... .......... .......... 22% 505K 6m21s\n",
" 15050K .......... .......... .......... .......... .......... 22% 538K 6m20s\n",
" 15100K .......... .......... .......... .......... .......... 22% 516K 6m18s\n",
" 15150K .......... .......... .......... .......... .......... 22% 773K 6m17s\n",
" 15200K .......... .......... .......... .......... .......... 23% 510K 6m16s\n",
" 15250K .......... .......... .......... .......... .......... 23% 488K 6m14s\n",
" 15300K .......... .......... .......... .......... .......... 23% 797K 6m13s\n",
" 15350K .......... .......... .......... .......... .......... 23% 473K 6m12s\n",
" 15400K .......... .......... .......... .......... .......... 23% 536K 6m11s\n",
" 15450K .......... .......... .......... .......... .......... 23% 777K 6m9s\n",
" 15500K .......... .......... .......... .......... .......... 23% 522K 6m8s\n",
" 15550K .......... .......... .......... .......... .......... 23% 537K 6m7s\n",
" 15600K .......... .......... .......... .......... .......... 23% 548K 6m6s\n",
" 15650K .......... .......... .......... .......... .......... 23% 544K 6m4s\n",
" 15700K .......... .......... .......... .......... .......... 23% 676K 6m3s\n",
" 15750K .......... .......... .......... .......... .......... 23% 559K 6m2s\n",
" 15800K .......... .......... .......... .......... .......... 23% 532K 6m1s\n",
" 15850K .......... .......... .......... .......... .......... 24% 636K 5m59s\n",
" 15900K .......... .......... .......... .......... .......... 24% 513K 5m58s\n",
" 15950K .......... .......... .......... .......... .......... 24% 506K 5m57s\n",
" 16000K .......... .......... .......... .......... .......... 24% 799K 5m56s\n",
" 16050K .......... .......... .......... .......... .......... 24% 515K 5m55s\n",
" 16100K .......... .......... .......... .......... .......... 24% 496K 5m53s\n",
" 16150K .......... .......... .......... .......... .......... 24% 597K 5m52s\n",
" 16200K .......... .......... .......... .......... .......... 24% 638K 5m51s\n",
" 16250K .......... .......... .......... .......... .......... 24% 563K 5m50s\n",
" 16300K .......... .......... .......... .......... .......... 24% 571K 5m49s\n",
" 16350K .......... .......... .......... .......... .......... 24% 509K 5m48s\n",
" 16400K .......... .......... .......... .......... .......... 24% 558K 5m46s\n",
" 16450K .......... .......... .......... .......... .......... 24% 584K 5m45s\n",
" 16500K .......... .......... .......... .......... .......... 25% 517K 5m44s\n",
" 16550K .......... .......... .......... .......... .......... 25% 841K 5m43s\n",
" 16600K .......... .......... .......... .......... .......... 25% 466K 5m42s\n",
" 16650K .......... .......... .......... .......... .......... 25% 546K 5m41s\n",
" 16700K .......... .......... .......... .......... .......... 25% 637K 5m40s\n",
" 16750K .......... .......... .......... .......... .......... 25% 529K 5m39s\n",
" 16800K .......... .......... .......... .......... .......... 25% 650K 5m38s\n",
" 16850K .......... .......... .......... .......... .......... 25% 593K 5m36s\n",
" 16900K .......... .......... .......... .......... .......... 25% 66.3K 5m37s\n",
" 16950K .......... .......... .......... .......... .......... 25% 356K 5m36s\n",
" 17000K .......... .......... .......... .......... .......... 25% 277K 5m36s\n",
" 17050K .......... .......... .......... .......... .......... 25% 273K 5m35s\n",
" 17100K .......... .......... .......... .......... .......... 25% 466K 5m34s\n",
" 17150K .......... .......... .......... .......... .......... 26% 346K 5m33s\n",
" 17200K .......... .......... .......... .......... .......... 26% 406K 5m32s\n",
" 17250K .......... .......... .......... .......... .......... 26% 486K 5m31s\n",
" 17300K .......... .......... .......... .......... .......... 26% 315K 5m30s\n",
" 17350K .......... .......... .......... .......... .......... 26% 441K 5m29s\n",
" 17400K .......... .......... .......... .......... .......... 26% 402K 5m28s\n",
" 17450K .......... .......... .......... .......... .......... 26% 538K 5m27s\n",
" 17500K .......... .......... .......... .......... .......... 26% 432K 5m26s\n",
" 17550K .......... .......... .......... .......... .......... 26% 424K 5m25s\n",
" 17600K .......... .......... .......... .......... .......... 26% 523K 5m24s\n",
" 17650K .......... .......... .......... .......... .......... 26% 512K 5m23s\n",
" 17700K .......... .......... .......... .......... .......... 26% 656K 5m22s\n",
" 17750K .......... .......... .......... .......... .......... 26% 497K 5m21s\n",
" 17800K .......... .......... .......... .......... .......... 27% 558K 5m20s\n",
" 17850K .......... .......... .......... .......... .......... 27% 697K 5m19s\n",
" 17900K .......... .......... .......... .......... .......... 27% 562K 5m18s\n",
" 17950K .......... .......... .......... .......... .......... 27% 640K 5m17s\n",
" 18000K .......... .......... .......... .......... .......... 27% 490K 5m16s\n",
" 18050K .......... .......... .......... .......... .......... 27% 559K 5m15s\n",
" 18100K .......... .......... .......... .......... .......... 27% 672K 5m14s\n",
" 18150K .......... .......... .......... .......... .......... 27% 559K 5m13s\n",
" 18200K .......... .......... .......... .......... .......... 27% 442K 5m13s\n",
" 18250K .......... .......... .......... .......... .......... 27% 534K 5m12s\n",
" 18300K .......... .......... .......... .......... .......... 27% 580K 5m11s\n",
" 18350K .......... .......... .......... .......... .......... 27% 529K 5m10s\n",
" 18400K .......... .......... .......... .......... .......... 27% 801K 5m9s\n",
" 18450K .......... .......... .......... .......... .......... 27% 475K 5m8s\n",
" 18500K .......... .......... .......... .......... .......... 28% 598K 5m7s\n",
" 18550K .......... .......... .......... .......... .......... 28% 630K 5m6s\n",
" 18600K .......... .......... .......... .......... .......... 28% 628K 5m5s\n",
" 18650K .......... .......... .......... .......... .......... 28% 573K 5m4s\n",
" 18700K .......... .......... .......... .......... .......... 28% 542K 5m3s\n",
" 18750K .......... .......... .......... .......... .......... 28% 514K 5m2s\n",
" 18800K .......... .......... .......... .......... .......... 28% 650K 5m1s\n",
" 18850K .......... .......... .......... .......... .......... 28% 578K 5m0s\n",
" 18900K .......... .......... .......... .......... .......... 28% 564K 5m0s\n",
" 18950K .......... .......... .......... .......... .......... 28% 588K 4m59s\n",
" 19000K .......... .......... .......... .......... .......... 28% 566K 4m58s\n",
" 19050K .......... .......... .......... .......... .......... 28% 514K 4m57s\n",
" 19100K .......... .......... .......... .......... .......... 28% 729K 4m56s\n",
" 19150K .......... .......... .......... .......... .......... 29% 581K 4m55s\n",
" 19200K .......... .......... .......... .......... .......... 29% 563K 4m54s\n",
" 19250K .......... .......... .......... .......... .......... 29% 595K 4m53s\n",
" 19300K .......... .......... .......... .......... .......... 29% 463K 4m53s\n",
" 19350K .......... .......... .......... .......... .......... 29% 767K 4m52s\n",
" 19400K .......... .......... .......... .......... .......... 29% 600K 4m51s\n",
" 19450K .......... .......... .......... .......... .......... 29% 520K 4m50s\n",
" 19500K .......... .......... .......... .......... .......... 29% 560K 4m49s\n",
" 19550K .......... .......... .......... .......... .......... 29% 502K 4m48s\n",
" 19600K .......... .......... .......... .......... .......... 29% 547K 4m48s\n",
" 19650K .......... .......... .......... .......... .......... 29% 387K 4m47s\n",
" 19700K .......... .......... .......... .......... .......... 29% 295K 4m46s\n",
" 19750K .......... .......... .......... .......... .......... 29% 595K 4m45s\n",
" 19800K .......... .......... .......... .......... .......... 30% 551K 4m45s\n",
" 19850K .......... .......... .......... .......... .......... 30% 548K 4m44s\n",
" 19900K .......... .......... .......... .......... .......... 30% 444K 4m43s\n",
" 19950K .......... .......... .......... .......... .......... 30% 591K 4m42s\n",
" 20000K .......... .......... .......... .......... .......... 30% 631K 4m41s\n",
" 20050K .......... .......... .......... .......... .......... 30% 558K 4m41s\n",
" 20100K .......... .......... .......... .......... .......... 30% 267K 4m40s\n",
" 20150K .......... .......... .......... .......... .......... 30% 139K 4m40s\n",
" 20200K .......... .......... .......... .......... .......... 30% 107K 4m40s\n",
" 20250K .......... .......... .......... .......... .......... 30% 107K 4m40s\n",
" 20300K .......... .......... .......... .......... .......... 30% 298K 4m39s\n",
" 20350K .......... .......... .......... .......... .......... 30% 334K 4m39s\n",
" 20400K .......... .......... .......... .......... .......... 30% 271K 4m38s\n",
" 20450K .......... .......... .......... .......... .......... 31% 322K 4m37s\n",
" 20500K .......... .......... .......... .......... .......... 31% 331K 4m37s\n",
" 20550K .......... .......... .......... .......... .......... 31% 629K 4m36s\n",
" 20600K .......... .......... .......... .......... .......... 31% 357K 4m35s\n",
" 20650K .......... .......... .......... .......... .......... 31% 443K 4m35s\n",
" 20700K .......... .......... .......... .......... .......... 31% 440K 4m34s\n",
" 20750K .......... .......... .......... .......... .......... 31% 406K 4m33s\n",
" 20800K .......... .......... .......... .......... .......... 31% 430K 4m32s\n",
" 20850K .......... .......... .......... .......... .......... 31% 453K 4m32s\n",
" 20900K .......... .......... .......... .......... .......... 31% 497K 4m31s\n",
" 20950K .......... .......... .......... .......... .......... 31% 584K 4m30s\n",
" 21000K .......... .......... .......... .......... .......... 31% 469K 4m30s\n",
" 21050K .......... .......... .......... .......... .......... 31% 535K 4m29s\n",
" 21100K .......... .......... .......... .......... .......... 32% 621K 4m28s\n",
" 21150K .......... .......... .......... .......... .......... 32% 573K 4m27s\n",
" 21200K .......... .......... .......... .......... .......... 32% 471K 4m27s\n",
" 21250K .......... .......... .......... .......... .......... 32% 549K 4m26s\n",
" 21300K .......... .......... .......... .......... .......... 32% 562K 4m25s\n",
" 21350K .......... .......... .......... .......... .......... 32% 492K 4m24s\n",
" 21400K .......... .......... .......... .......... .......... 32% 548K 4m24s\n",
" 21450K .......... .......... .......... .......... .......... 32% 614K 4m23s\n",
" 21500K .......... .......... .......... .......... .......... 32% 547K 4m22s\n",
" 21550K .......... .......... .......... .......... .......... 32% 629K 4m22s\n",
" 21600K .......... .......... .......... .......... .......... 32% 658K 4m21s\n",
" 21650K .......... .......... .......... .......... .......... 32% 582K 4m20s\n",
" 21700K .......... .......... .......... .......... .......... 32% 530K 4m19s\n",
" 21750K .......... .......... .......... .......... .......... 32% 573K 4m19s\n",
" 21800K .......... .......... .......... .......... .......... 33% 574K 4m18s\n",
" 21850K .......... .......... .......... .......... .......... 33% 570K 4m17s\n",
" 21900K .......... .......... .......... .......... .......... 33% 549K 4m17s\n",
" 21950K .......... .......... .......... .......... .......... 33% 522K 4m16s\n",
" 22000K .......... .......... .......... .......... .......... 33% 584K 4m15s\n",
" 22050K .......... .......... .......... .......... .......... 33% 593K 4m14s\n",
" 22100K .......... .......... .......... .......... .......... 33% 445K 4m14s\n",
" 22150K .......... .......... .......... .......... .......... 33% 880K 4m13s\n",
" 22200K .......... .......... .......... .......... .......... 33% 580K 4m12s\n",
" 22250K .......... .......... .......... .......... .......... 33% 509K 4m12s\n",
" 22300K .......... .......... .......... .......... .......... 33% 508K 4m11s\n",
" 22350K .......... .......... .......... .......... .......... 33% 580K 4m10s\n",
" 22400K .......... .......... .......... .......... .......... 33% 583K 4m10s\n",
" 22450K .......... .......... .......... .......... .......... 34% 619K 4m9s\n",
" 22500K .......... .......... .......... .......... .......... 34% 574K 4m8s\n",
" 22550K .......... .......... .......... .......... .......... 34% 510K 4m8s\n",
" 22600K .......... .......... .......... .......... .......... 34% 591K 4m7s\n",
" 22650K .......... .......... .......... .......... .......... 34% 515K 4m6s\n",
" 22700K .......... .......... .......... .......... .......... 34% 553K 4m6s\n",
" 22750K .......... .......... .......... .......... .......... 34% 621K 4m5s\n",
" 22800K .......... .......... .......... .......... .......... 34% 640K 4m4s\n",
" 22850K .......... .......... .......... .......... .......... 34% 583K 4m4s\n",
" 22900K .......... .......... .......... .......... .......... 34% 510K 4m3s\n",
" 22950K .......... .......... .......... .......... .......... 34% 598K 4m2s\n",
" 23000K .......... .......... .......... .......... .......... 34% 560K 4m2s\n",
" 23050K .......... .......... .......... .......... .......... 34% 586K 4m1s\n",
" 23100K .......... .......... .......... .......... .......... 35% 688K 4m1s\n",
" 23150K .......... .......... .......... .......... .......... 35% 561K 4m0s\n",
" 23200K .......... .......... .......... .......... .......... 35% 516K 3m59s\n",
" 23250K .......... .......... .......... .......... .......... 35% 505K 3m59s\n",
" 23300K .......... .......... .......... .......... .......... 35% 590K 3m58s\n",
" 23350K .......... .......... .......... .......... .......... 35% 609K 3m57s\n",
" 23400K .......... .......... .......... .......... .......... 35% 555K 3m57s\n",
" 23450K .......... .......... .......... .......... .......... 35% 602K 3m56s\n",
" 23500K .......... .......... .......... .......... .......... 35% 530K 3m56s\n",
" 23550K .......... .......... .......... .......... .......... 35% 524K 3m55s\n",
" 23600K .......... .......... .......... .......... .......... 35% 570K 3m54s\n",
" 23650K .......... .......... .......... .......... .......... 35% 524K 3m54s\n",
" 23700K .......... .......... .......... .......... .......... 35% 828K 3m53s\n",
" 23750K .......... .......... .......... .......... .......... 36% 500K 3m52s\n",
" 23800K .......... .......... .......... .......... .......... 36% 495K 3m52s\n",
" 23850K .......... .......... .......... .......... .......... 36% 761K 3m51s\n",
" 23900K .......... .......... .......... .......... .......... 36% 562K 3m51s\n",
" 23950K .......... .......... .......... .......... .......... 36% 520K 3m50s\n",
" 24000K .......... .......... .......... .......... .......... 36% 594K 3m49s\n",
" 24050K .......... .......... .......... .......... .......... 36% 639K 3m49s\n",
" 24100K .......... .......... .......... .......... .......... 36% 574K 3m48s\n",
" 24150K .......... .......... .......... .......... .......... 36% 586K 3m48s\n",
" 24200K .......... .......... .......... .......... .......... 36% 465K 3m47s\n",
" 24250K .......... .......... .......... .......... .......... 36% 714K 3m47s\n",
" 24300K .......... .......... .......... .......... .......... 36% 553K 3m46s\n",
" 24350K .......... .......... .......... .......... .......... 36% 497K 3m45s\n",
" 24400K .......... .......... .......... .......... .......... 36% 558K 3m45s\n",
" 24450K .......... .......... .......... .......... .......... 37% 602K 3m44s\n",
" 24500K .......... .......... .......... .......... .......... 37% 659K 3m44s\n",
" 24550K .......... .......... .......... .......... .......... 37% 550K 3m43s\n",
" 24600K .......... .......... .......... .......... .......... 37% 491K 3m42s\n",
" 24650K .......... .......... .......... .......... .......... 37% 777K 3m42s\n",
" 24700K .......... .......... .......... .......... .......... 37% 543K 3m41s\n",
" 24750K .......... .......... .......... .......... .......... 37% 552K 3m41s\n",
" 24800K .......... .......... .......... .......... .......... 37% 505K 3m40s\n",
" 24850K .......... .......... .......... .......... .......... 37% 557K 3m40s\n",
" 24900K .......... .......... .......... .......... .......... 37% 601K 3m39s\n",
" 24950K .......... .......... .......... .......... .......... 37% 620K 3m38s\n",
" 25000K .......... .......... .......... .......... .......... 37% 589K 3m38s\n",
" 25050K .......... .......... .......... .......... .......... 37% 516K 3m37s\n",
" 25100K .......... .......... .......... .......... .......... 38% 594K 3m37s\n",
" 25150K .......... .......... .......... .......... .......... 38% 556K 3m36s\n",
" 25200K .......... .......... .......... .......... .......... 38% 508K 3m36s\n",
" 25250K .......... .......... .......... .......... .......... 38% 849K 3m35s\n",
" 25300K .......... .......... .......... .......... .......... 38% 469K 3m35s\n",
" 25350K .......... .......... .......... .......... .......... 38% 555K 3m34s\n",
" 25400K .......... .......... .......... .......... .......... 38% 520K 3m34s\n",
" 25450K .......... .......... .......... .......... .......... 38% 712K 3m33s\n",
" 25500K .......... .......... .......... .......... .......... 38% 544K 3m32s\n",
" 25550K .......... .......... .......... .......... .......... 38% 583K 3m32s\n",
" 25600K .......... .......... .......... .......... .......... 38% 542K 3m31s\n",
" 25650K .......... .......... .......... .......... .......... 38% 468K 3m31s\n",
" 25700K .......... .......... .......... .......... .......... 38% 584K 3m30s\n",
" 25750K .......... .......... .......... .......... .......... 39% 642K 3m30s\n",
" 25800K .......... .......... .......... .......... .......... 39% 560K 3m29s\n",
" 25850K .......... .......... .......... .......... .......... 39% 644K 3m29s\n",
" 25900K .......... .......... .......... .......... .......... 39% 517K 3m28s\n",
" 25950K .......... .......... .......... .......... .......... 39% 548K 3m28s\n",
" 26000K .......... .......... .......... .......... .......... 39% 697K 3m27s\n",
" 26050K .......... .......... .......... .......... .......... 39% 556K 3m27s\n",
" 26100K .......... .......... .......... .......... .......... 39% 459K 3m26s\n",
" 26150K .......... .......... .......... .......... .......... 39% 569K 3m26s\n",
" 26200K .......... .......... .......... .......... .......... 39% 573K 3m25s\n",
" 26250K .......... .......... .......... .......... .......... 39% 581K 3m25s\n",
" 26300K .......... .......... .......... .......... .......... 39% 582K 3m24s\n",
" 26350K .......... .......... .......... .......... .......... 39% 644K 3m24s\n",
" 26400K .......... .......... .......... .......... .......... 40% 564K 3m23s\n",
" 26450K .......... .......... .......... .......... .......... 40% 523K 3m23s\n",
" 26500K .......... .......... .......... .......... .......... 40% 688K 3m22s\n",
" 26550K .......... .......... .......... .......... .......... 40% 547K 3m22s\n",
" 26600K .......... .......... .......... .......... .......... 40% 537K 3m21s\n",
" 26650K .......... .......... .......... .......... .......... 40% 558K 3m21s\n",
" 26700K .......... .......... .......... .......... .......... 40% 598K 3m20s\n",
" 26750K .......... .......... .......... .......... .......... 40% 515K 3m20s\n",
" 26800K .......... .......... .......... .......... .......... 40% 619K 3m19s\n",
" 26850K .......... .......... .......... .......... .......... 40% 508K 3m19s\n",
" 26900K .......... .......... .......... .......... .......... 40% 513K 3m18s\n",
" 26950K .......... .......... .......... .......... .......... 40% 554K 3m18s\n",
" 27000K .......... .......... .......... .......... .......... 40% 737K 3m17s\n",
" 27050K .......... .......... .......... .......... .......... 41% 531K 3m17s\n",
" 27100K .......... .......... .......... .......... .......... 41% 493K 3m16s\n",
" 27150K .......... .......... .......... .......... .......... 41% 570K 3m16s\n",
" 27200K .......... .......... .......... .......... .......... 41% 598K 3m15s\n",
" 27250K .......... .......... .......... .......... .......... 41% 513K 3m15s\n",
" 27300K .......... .......... .......... .......... .......... 41% 567K 3m14s\n",
" 27350K .......... .......... .......... .......... .......... 41% 677K 3m14s\n",
" 27400K .......... .......... .......... .......... .......... 41% 464K 3m13s\n",
" 27450K .......... .......... .......... .......... .......... 41% 518K 3m13s\n",
" 27500K .......... .......... .......... .......... .......... 41% 633K 3m12s\n",
" 27550K .......... .......... .......... .......... .......... 41% 576K 3m12s\n",
" 27600K .......... .......... .......... .......... .......... 41% 581K 3m11s\n",
" 27650K .......... .......... .......... .......... .......... 41% 504K 3m11s\n",
" 27700K .......... .......... .......... .......... .......... 41% 534K 3m10s\n",
" 27750K .......... .......... .......... .......... .......... 42% 636K 3m10s\n",
" 27800K .......... .......... .......... .......... .......... 42% 605K 3m9s\n",
" 27850K .......... .......... .......... .......... .......... 42% 574K 3m9s\n",
" 27900K .......... .......... .......... .......... .......... 42% 481K 3m9s\n",
" 27950K .......... .......... .......... .......... .......... 42% 596K 3m8s\n",
" 28000K .......... .......... .......... .......... .......... 42% 634K 3m8s\n",
" 28050K .......... .......... .......... .......... .......... 42% 560K 3m7s\n",
" 28100K .......... .......... .......... .......... .......... 42% 517K 3m7s\n",
" 28150K .......... .......... .......... .......... .......... 42% 507K 3m6s\n",
" 28200K .......... .......... .......... .......... .......... 42% 66.9K 3m7s\n",
" 28250K .......... .......... .......... .......... .......... 42% 351K 3m6s\n",
" 28300K .......... .......... .......... .......... .......... 42% 251K 3m6s\n",
" 28350K .......... .......... .......... .......... .......... 42% 367K 3m6s\n",
" 28400K .......... .......... .......... .......... .......... 43% 466K 3m5s\n",
" 28450K .......... .......... .......... .......... .......... 43% 372K 3m5s\n",
" 28500K .......... .......... .......... .......... .......... 43% 320K 3m4s\n",
" 28550K .......... .......... .......... .......... .......... 43% 419K 3m4s\n",
" 28600K .......... .......... .......... .......... .......... 43% 390K 3m4s\n",
" 28650K .......... .......... .......... .......... .......... 43% 418K 3m3s\n",
" 28700K .......... .......... .......... .......... .......... 43% 519K 3m3s\n",
" 28750K .......... .......... .......... .......... .......... 43% 444K 3m2s\n",
" 28800K .......... .......... .......... .......... .......... 43% 454K 3m2s\n",
" 28850K .......... .......... .......... .......... .......... 43% 458K 3m2s\n",
" 28900K .......... .......... .......... .......... .......... 43% 451K 3m1s\n",
" 28950K .......... .......... .......... .......... .......... 43% 679K 3m1s\n",
" 29000K .......... .......... .......... .......... .......... 43% 490K 3m0s\n",
" 29050K .......... .......... .......... .......... .......... 44% 545K 3m0s\n",
" 29100K .......... .......... .......... .......... .......... 44% 578K 2m59s\n",
" 29150K .......... .......... .......... .......... .......... 44% 571K 2m59s\n",
" 29200K .......... .......... .......... .......... .......... 44% 518K 2m58s\n",
" 29250K .......... .......... .......... .......... .......... 44% 862K 2m58s\n",
" 29300K .......... .......... .......... .......... .......... 44% 534K 2m58s\n",
" 29350K .......... .......... .......... .......... .......... 44% 569K 2m57s\n",
" 29400K .......... .......... .......... .......... .......... 44% 536K 2m57s\n",
" 29450K .......... .......... .......... .......... .......... 44% 518K 2m56s\n",
" 29500K .......... .......... .......... .......... .......... 44% 546K 2m56s\n",
" 29550K .......... .......... .......... .......... .......... 44% 621K 2m55s\n",
" 29600K .......... .......... .......... .......... .......... 44% 558K 2m55s\n",
" 29650K .......... .......... .......... .......... .......... 44% 575K 2m55s\n",
" 29700K .......... .......... .......... .......... .......... 45% 522K 2m54s\n",
" 29750K .......... .......... .......... .......... .......... 45% 532K 2m54s\n",
" 29800K .......... .......... .......... .......... .......... 45% 731K 2m53s\n",
" 29850K .......... .......... .......... .......... .......... 45% 561K 2m53s\n",
" 29900K .......... .......... .......... .......... .......... 45% 537K 2m52s\n",
" 29950K .......... .......... .......... .......... .......... 45% 729K 2m52s\n",
" 30000K .......... .......... .......... .......... .......... 45% 576K 2m52s\n",
" 30050K .......... .......... .......... .......... .......... 45% 587K 2m51s\n",
" 30100K .......... .......... .......... .......... .......... 45% 583K 2m51s\n",
" 30150K .......... .......... .......... .......... .......... 45% 552K 2m50s\n",
" 30200K .......... .......... .......... .......... .......... 45% 223K 2m50s\n",
" 30250K .......... .......... .......... .......... .......... 45% 72.5K 2m50s\n",
" 30300K .......... .......... .......... .......... .......... 45% 152K 2m50s\n",
" 30350K .......... .......... .......... .......... .......... 45% 277K 2m50s\n",
" 30400K .......... .......... .......... .......... .......... 46% 410K 2m50s\n",
" 30450K .......... .......... .......... .......... .......... 46% 267K 2m49s\n",
" 30500K .......... .......... .......... .......... .......... 46% 397K 2m49s\n",
" 30550K .......... .......... .......... .......... .......... 46% 476K 2m49s\n",
" 30600K .......... .......... .......... .......... .......... 46% 413K 2m48s\n",
" 30650K .......... .......... .......... .......... .......... 46% 290K 2m48s\n",
" 30700K .......... .......... .......... .......... .......... 46% 438K 2m47s\n",
" 30750K .......... .......... .......... .......... .......... 46% 471K 2m47s\n",
" 30800K .......... .......... .......... .......... .......... 46% 390K 2m47s\n",
" 30850K .......... .......... .......... .......... .......... 46% 473K 2m46s\n",
" 30900K .......... .......... .......... .......... .......... 46% 607K 2m46s\n",
" 30950K .......... .......... .......... .......... .......... 46% 470K 2m46s\n",
" 31000K .......... .......... .......... .......... .......... 46% 498K 2m45s\n",
" 31050K .......... .......... .......... .......... .......... 47% 488K 2m45s\n",
" 31100K .......... .......... .......... .......... .......... 47% 544K 2m44s\n",
" 31150K .......... .......... .......... .......... .......... 47% 588K 2m44s\n",
" 31200K .......... .......... .......... .......... .......... 47% 560K 2m44s\n",
" 31250K .......... .......... .......... .......... .......... 47% 677K 2m43s\n",
" 31300K .......... .......... .......... .......... .......... 47% 555K 2m43s\n",
" 31350K .......... .......... .......... .......... .......... 47% 641K 2m42s\n",
" 31400K .......... .......... .......... .......... .......... 47% 522K 2m42s\n",
" 31450K .......... .......... .......... .......... .......... 47% 561K 2m42s\n",
" 31500K .......... .......... .......... .......... .......... 47% 683K 2m41s\n",
" 31550K .......... .......... .......... .......... .......... 47% 523K 2m41s\n",
" 31600K .......... .......... .......... .......... .......... 47% 593K 2m40s\n",
" 31650K .......... .......... .......... .......... .......... 47% 577K 2m40s\n",
" 31700K .......... .......... .......... .......... .......... 48% 563K 2m40s\n",
" 31750K .......... .......... .......... .......... .......... 48% 553K 2m39s\n",
" 31800K .......... .......... .......... .......... .......... 48% 568K 2m39s\n",
" 31850K .......... .......... .......... .......... .......... 48% 509K 2m38s\n",
" 31900K .......... .......... .......... .......... .......... 48% 555K 2m38s\n",
" 31950K .......... .......... .......... .......... .......... 48% 635K 2m38s\n",
" 32000K .......... .......... .......... .......... .......... 48% 557K 2m37s\n",
" 32050K .......... .......... .......... .......... .......... 48% 674K 2m37s\n",
" 32100K .......... .......... .......... .......... .......... 48% 459K 2m37s\n",
" 32150K .......... .......... .......... .......... .......... 48% 561K 2m36s\n",
" 32200K .......... .......... .......... .......... .......... 48% 612K 2m36s\n",
" 32250K .......... .......... .......... .......... .......... 48% 605K 2m35s\n",
" 32300K .......... .......... .......... .......... .......... 48% 584K 2m35s\n",
" 32350K .......... .......... .......... .......... .......... 49% 362K 2m35s\n",
" 32400K .......... .......... .......... .......... .......... 49% 449K 2m34s\n",
" 32450K .......... .......... .......... .......... .......... 49% 266K 2m34s\n",
" 32500K .......... .......... .......... .......... .......... 49% 2.02M 2m34s\n",
" 32550K .......... .......... .......... .......... .......... 49% 305K 2m33s\n",
" 32600K .......... .......... .......... .......... .......... 49% 546K 2m33s\n",
" 32650K .......... .......... .......... .......... .......... 49% 644K 2m33s\n",
" 32700K .......... .......... .......... .......... .......... 49% 321K 2m32s\n",
" 32750K .......... .......... .......... .......... .......... 49% 2.42M 2m32s\n",
" 32800K .......... .......... .......... .......... .......... 49% 365K 2m32s\n",
" 32850K .......... .......... .......... .......... .......... 49% 553K 2m31s\n",
" 32900K .......... .......... .......... .......... .......... 49% 627K 2m31s\n",
" 32950K .......... .......... .......... .......... .......... 49% 556K 2m30s\n",
" 33000K .......... .......... .......... .......... .......... 50% 739K 2m30s\n",
" 33050K .......... .......... .......... .......... .......... 50% 558K 2m30s\n",
" 33100K .......... .......... .......... .......... .......... 50% 576K 2m29s\n",
" 33150K .......... .......... .......... .......... .......... 50% 492K 2m29s\n",
" 33200K .......... .......... .......... .......... .......... 50% 575K 2m29s\n",
" 33250K .......... .......... .......... .......... .......... 50% 718K 2m28s\n",
" 33300K .......... .......... .......... .......... .......... 50% 460K 2m28s\n",
" 33350K .......... .......... .......... .......... .......... 50% 558K 2m27s\n",
" 33400K .......... .......... .......... .......... .......... 50% 651K 2m27s\n",
" 33450K .......... .......... .......... .......... .......... 50% 586K 2m27s\n",
" 33500K .......... .......... .......... .......... .......... 50% 545K 2m26s\n",
" 33550K .......... .......... .......... .......... .......... 50% 653K 2m26s\n",
" 33600K .......... .......... .......... .......... .......... 50% 539K 2m26s\n",
" 33650K .......... .......... .......... .......... .......... 50% 487K 2m25s\n",
" 33700K .......... .......... .......... .......... .......... 51% 817K 2m25s\n",
" 33750K .......... .......... .......... .......... .......... 51% 544K 2m25s\n",
" 33800K .......... .......... .......... .......... .......... 51% 511K 2m24s\n",
" 33850K .......... .......... .......... .......... .......... 51% 576K 2m24s\n",
" 33900K .......... .......... .......... .......... .......... 51% 566K 2m24s\n",
" 33950K .......... .......... .......... .......... .......... 51% 506K 2m23s\n",
" 34000K .......... .......... .......... .......... .......... 51% 290K 2m23s\n",
" 34050K .......... .......... .......... .......... .......... 51% 224K 2m23s\n",
" 34100K .......... .......... .......... .......... .......... 51% 102K 2m23s\n",
" 34150K .......... .......... .......... .......... .......... 51% 242K 2m23s\n",
" 34200K .......... .......... .......... .......... .......... 51% 339K 2m22s\n",
" 34250K .......... .......... .......... .......... .......... 51% 346K 2m22s\n",
" 34300K .......... .......... .......... .......... .......... 51% 355K 2m22s\n",
" 34350K .......... .......... .......... .......... .......... 52% 433K 2m21s\n",
" 34400K .......... .......... .......... .......... .......... 52% 395K 2m21s\n",
" 34450K .......... .......... .......... .......... .......... 52% 390K 2m21s\n",
" 34500K .......... .......... .......... .......... .......... 52% 383K 2m20s\n",
" 34550K .......... .......... .......... .......... .......... 52% 437K 2m20s\n",
" 34600K .......... .......... .......... .......... .......... 52% 450K 2m20s\n",
" 34650K .......... .......... .......... .......... .......... 52% 536K 2m19s\n",
" 34700K .......... .......... .......... .......... .......... 52% 462K 2m19s\n",
" 34750K .......... .......... .......... .......... .......... 52% 483K 2m19s\n",
" 34800K .......... .......... .......... .......... .......... 52% 502K 2m18s\n",
" 34850K .......... .......... .......... .......... .......... 52% 484K 2m18s\n",
" 34900K .......... .......... .......... .......... .......... 52% 521K 2m18s\n",
" 34950K .......... .......... .......... .......... .......... 52% 641K 2m17s\n",
" 35000K .......... .......... .......... .......... .......... 53% 547K 2m17s\n",
" 35050K .......... .......... .......... .......... .......... 53% 664K 2m17s\n",
" 35100K .......... .......... .......... .......... .......... 53% 551K 2m16s\n",
" 35150K .......... .......... .......... .......... .......... 53% 552K 2m16s\n",
" 35200K .......... .......... .......... .......... .......... 53% 556K 2m16s\n",
" 35250K .......... .......... .......... .......... .......... 53% 594K 2m15s\n",
" 35300K .......... .......... .......... .......... .......... 53% 476K 2m15s\n",
" 35350K .......... .......... .......... .......... .......... 53% 214K 2m15s\n",
" 35400K .......... .......... .......... .......... .......... 53% 101K 2m15s\n",
" 35450K .......... .......... .......... .......... .......... 53% 127K 2m15s\n",
" 35500K .......... .......... .......... .......... .......... 53% 337K 2m15s\n",
" 35550K .......... .......... .......... .......... .......... 53% 335K 2m14s\n",
" 35600K .......... .......... .......... .......... .......... 53% 317K 2m14s\n",
" 35650K .......... .......... .......... .......... .......... 54% 380K 2m14s\n",
" 35700K .......... .......... .......... .......... .......... 54% 323K 2m13s\n",
" 35750K .......... .......... .......... .......... .......... 54% 392K 2m13s\n",
" 35800K .......... .......... .......... .......... .......... 54% 377K 2m13s\n",
" 35850K .......... .......... .......... .......... .......... 54% 409K 2m12s\n",
" 35900K .......... .......... .......... .......... .......... 54% 521K 2m12s\n",
" 35950K .......... .......... .......... .......... .......... 54% 445K 2m12s\n",
" 36000K .......... .......... .......... .......... .......... 54% 430K 2m12s\n",
" 36050K .......... .......... .......... .......... .......... 54% 475K 2m11s\n",
" 36100K .......... .......... .......... .......... .......... 54% 545K 2m11s\n",
" 36150K .......... .......... .......... .......... .......... 54% 446K 2m11s\n",
" 36200K .......... .......... .......... .......... .......... 54% 554K 2m10s\n",
" 36250K .......... .......... .......... .......... .......... 54% 507K 2m10s\n",
" 36300K .......... .......... .......... .......... .......... 54% 538K 2m10s\n",
" 36350K .......... .......... .......... .......... .......... 55% 609K 2m9s\n",
" 36400K .......... .......... .......... .......... .......... 55% 539K 2m9s\n",
" 36450K .......... .......... .......... .......... .......... 55% 617K 2m9s\n",
" 36500K .......... .......... .......... .......... .......... 55% 549K 2m8s\n",
" 36550K .......... .......... .......... .......... .......... 55% 553K 2m8s\n",
" 36600K .......... .......... .......... .......... .......... 55% 598K 2m8s\n",
" 36650K .......... .......... .......... .......... .......... 55% 697K 2m7s\n",
" 36700K .......... .......... .......... .......... .......... 55% 491K 2m7s\n",
" 36750K .......... .......... .......... .......... .......... 55% 594K 2m7s\n",
" 36800K .......... .......... .......... .......... .......... 55% 602K 2m6s\n",
" 36850K .......... .......... .......... .......... .......... 55% 582K 2m6s\n",
" 36900K .......... .......... .......... .......... .......... 55% 568K 2m6s\n",
" 36950K .......... .......... .......... .......... .......... 55% 533K 2m5s\n",
" 37000K .......... .......... .......... .......... .......... 56% 469K 2m5s\n",
" 37050K .......... .......... .......... .......... .......... 56% 638K 2m5s\n",
" 37100K .......... .......... .......... .......... .......... 56% 532K 2m5s\n",
" 37150K .......... .......... .......... .......... .......... 56% 709K 2m4s\n",
" 37200K .......... .......... .......... .......... .......... 56% 488K 2m4s\n",
" 37250K .......... .......... .......... .......... .......... 56% 566K 2m4s\n",
" 37300K .......... .......... .......... .......... .......... 56% 662K 2m3s\n",
" 37350K .......... .......... .......... .......... .......... 56% 588K 2m3s\n",
" 37400K .......... .......... .......... .......... .......... 56% 510K 2m3s\n",
" 37450K .......... .......... .......... .......... .......... 56% 532K 2m2s\n",
" 37500K .......... .......... .......... .......... .......... 56% 657K 2m2s\n",
" 37550K .......... .......... .......... .......... .......... 56% 583K 2m2s\n",
" 37600K .......... .......... .......... .......... .......... 56% 536K 2m1s\n",
" 37650K .......... .......... .......... .......... .......... 57% 504K 2m1s\n",
" 37700K .......... .......... .......... .......... .......... 57% 586K 2m1s\n",
" 37750K .......... .......... .......... .......... .......... 57% 727K 2m0s\n",
" 37800K .......... .......... .......... .......... .......... 57% 571K 2m0s\n",
" 37850K .......... .......... .......... .......... .......... 57% 546K 2m0s\n",
" 37900K .......... .......... .......... .......... .......... 57% 589K 2m0s\n",
" 37950K .......... .......... .......... .......... .......... 57% 514K 1m59s\n",
" 38000K .......... .......... .......... .......... .......... 57% 595K 1m59s\n",
" 38050K .......... .......... .......... .......... .......... 57% 467K 1m59s\n",
" 38100K .......... .......... .......... .......... .......... 57% 552K 1m58s\n",
" 38150K .......... .......... .......... .......... .......... 57% 806K 1m58s\n",
" 38200K .......... .......... .......... .......... .......... 57% 549K 1m58s\n",
" 38250K .......... .......... .......... .......... .......... 57% 538K 1m57s\n",
" 38300K .......... .......... .......... .......... .......... 58% 563K 1m57s\n",
" 38350K .......... .......... .......... .......... .......... 58% 648K 1m57s\n",
" 38400K .......... .......... .......... .......... .......... 58% 483K 1m57s\n",
" 38450K .......... .......... .......... .......... .......... 58% 743K 1m56s\n",
" 38500K .......... .......... .......... .......... .......... 58% 580K 1m56s\n",
" 38550K .......... .......... .......... .......... .......... 58% 551K 1m56s\n",
" 38600K .......... .......... .......... .......... .......... 58% 569K 1m55s\n",
" 38650K .......... .......... .......... .......... .......... 58% 503K 1m55s\n",
" 38700K .......... .......... .......... .......... .......... 58% 597K 1m55s\n",
" 38750K .......... .......... .......... .......... .......... 58% 586K 1m54s\n",
" 38800K .......... .......... .......... .......... .......... 58% 536K 1m54s\n",
" 38850K .......... .......... .......... .......... .......... 58% 535K 1m54s\n",
" 38900K .......... .......... .......... .......... .......... 58% 469K 1m54s\n",
" 38950K .......... .......... .......... .......... .......... 59% 590K 1m53s\n",
" 39000K .......... .......... .......... .......... .......... 59% 744K 1m53s\n",
" 39050K .......... .......... .......... .......... .......... 59% 559K 1m53s\n",
" 39100K .......... .......... .......... .......... .......... 59% 515K 1m52s\n",
" 39150K .......... .......... .......... .......... .......... 59% 597K 1m52s\n",
" 39200K .......... .......... .......... .......... .......... 59% 604K 1m52s\n",
" 39250K .......... .......... .......... .......... .......... 59% 555K 1m52s\n",
" 39300K .......... .......... .......... .......... .......... 59% 716K 1m51s\n",
" 39350K .......... .......... .......... .......... .......... 59% 538K 1m51s\n",
" 39400K .......... .......... .......... .......... .......... 59% 572K 1m51s\n",
" 39450K .......... .......... .......... .......... .......... 59% 573K 1m50s\n",
" 39500K .......... .......... .......... .......... .......... 59% 531K 1m50s\n",
" 39550K .......... .......... .......... .......... .......... 59% 625K 1m50s\n",
" 39600K .......... .......... .......... .......... .......... 59% 524K 1m50s\n",
" 39650K .......... .......... .......... .......... .......... 60% 559K 1m49s\n",
" 39700K .......... .......... .......... .......... .......... 60% 266K 1m49s\n",
" 39750K .......... .......... .......... .......... .......... 60% 84.2K 1m49s\n",
" 39800K .......... .......... .......... .......... .......... 60% 204K 1m49s\n",
" 39850K .......... .......... .......... .......... .......... 60% 294K 1m49s\n",
" 39900K .......... .......... .......... .......... .......... 60% 312K 1m48s\n",
" 39950K .......... .......... .......... .......... .......... 60% 335K 1m48s\n",
" 40000K .......... .......... .......... .......... .......... 60% 349K 1m48s\n",
" 40050K .......... .......... .......... .......... .......... 60% 446K 1m48s\n",
" 40100K .......... .......... .......... .......... .......... 60% 395K 1m47s\n",
" 40150K .......... .......... .......... .......... .......... 60% 376K 1m47s\n",
" 40200K .......... .......... .......... .......... .......... 60% 428K 1m47s\n",
" 40250K .......... .......... .......... .......... .......... 60% 449K 1m47s\n",
" 40300K .......... .......... .......... .......... .......... 61% 475K 1m46s\n",
" 40350K .......... .......... .......... .......... .......... 61% 467K 1m46s\n",
" 40400K .......... .......... .......... .......... .......... 61% 599K 1m46s\n",
" 40450K .......... .......... .......... .......... .......... 61% 424K 1m46s\n",
" 40500K .......... .......... .......... .......... .......... 61% 484K 1m45s\n",
" 40550K .......... .......... .......... .......... .......... 61% 589K 1m45s\n",
" 40600K .......... .......... .......... .......... .......... 61% 582K 1m45s\n",
" 40650K .......... .......... .......... .......... .......... 61% 479K 1m44s\n",
" 40700K .......... .......... .......... .......... .......... 61% 818K 1m44s\n",
" 40750K .......... .......... .......... .......... .......... 61% 542K 1m44s\n",
" 40800K .......... .......... .......... .......... .......... 61% 487K 1m44s\n",
" 40850K .......... .......... .......... .......... .......... 61% 569K 1m43s\n",
" 40900K .......... .......... .......... .......... .......... 61% 556K 1m43s\n",
" 40950K .......... .......... .......... .......... .......... 62% 571K 1m43s\n",
" 41000K .......... .......... .......... .......... .......... 62% 667K 1m42s\n",
" 41050K .......... .......... .......... .......... .......... 62% 525K 1m42s\n",
" 41100K .......... .......... .......... .......... .......... 62% 605K 1m42s\n",
" 41150K .......... .......... .......... .......... .......... 62% 535K 1m42s\n",
" 41200K .......... .......... .......... .......... .......... 62% 562K 1m41s\n",
" 41250K .......... .......... .......... .......... .......... 62% 698K 1m41s\n",
" 41300K .......... .......... .......... .......... .......... 62% 522K 1m41s\n",
" 41350K .......... .......... .......... .......... .......... 62% 572K 1m41s\n",
" 41400K .......... .......... .......... .......... .......... 62% 570K 1m40s\n",
" 41450K .......... .......... .......... .......... .......... 62% 588K 1m40s\n",
" 41500K .......... .......... .......... .......... .......... 62% 616K 1m40s\n",
" 41550K .......... .......... .......... .......... .......... 62% 219K 1m40s\n",
" 41600K .......... .......... .......... .......... .......... 63% 88.6K 1m40s\n",
" 41650K .......... .......... .......... .......... .......... 63% 220K 99s\n",
" 41700K .......... .......... .......... .......... .......... 63% 345K 99s\n",
" 41750K .......... .......... .......... .......... .......... 63% 284K 99s\n",
" 41800K .......... .......... .......... .......... .......... 63% 358K 99s\n",
" 41850K .......... .......... .......... .......... .......... 63% 283K 98s\n",
" 41900K .......... .......... .......... .......... .......... 63% 399K 98s\n",
" 41950K .......... .......... .......... .......... .......... 63% 413K 98s\n",
" 42000K .......... .......... .......... .......... .......... 63% 433K 98s\n",
" 42050K .......... .......... .......... .......... .......... 63% 348K 97s\n",
" 42100K .......... .......... .......... .......... .......... 63% 455K 97s\n",
" 42150K .......... .......... .......... .......... .......... 63% 395K 97s\n",
" 42200K .......... .......... .......... .......... .......... 63% 713K 97s\n",
" 42250K .......... .......... .......... .......... .......... 64% 186K 97s\n",
" 42300K .......... .......... .......... .......... .......... 64% 80.5K 97s\n",
" 42350K .......... .......... .......... .......... .......... 64% 173K 96s\n",
" 42400K .......... .......... .......... .......... .......... 64% 221K 96s\n",
" 42450K .......... .......... .......... .......... .......... 64% 271K 96s\n",
" 42500K .......... .......... .......... .......... .......... 64% 380K 96s\n",
" 42550K .......... .......... .......... .......... .......... 64% 282K 96s\n",
" 42600K .......... .......... .......... .......... .......... 64% 416K 95s\n",
" 42650K .......... .......... .......... .......... .......... 64% 341K 95s\n",
" 42700K .......... .......... .......... .......... .......... 64% 331K 95s\n",
" 42750K .......... .......... .......... .......... .......... 64% 482K 95s\n",
" 42800K .......... .......... .......... .......... .......... 64% 419K 94s\n",
" 42850K .......... .......... .......... .......... .......... 64% 430K 94s\n",
" 42900K .......... .......... .......... .......... .......... 64% 431K 94s\n",
" 42950K .......... .......... .......... .......... .......... 65% 504K 94s\n",
" 43000K .......... .......... .......... .......... .......... 65% 385K 93s\n",
" 43050K .......... .......... .......... .......... .......... 65% 463K 93s\n",
" 43100K .......... .......... .......... .......... .......... 65% 519K 93s\n",
" 43150K .......... .......... .......... .......... .......... 65% 499K 93s\n",
" 43200K .......... .......... .......... .......... .......... 65% 566K 92s\n",
" 43250K .......... .......... .......... .......... .......... 65% 550K 92s\n",
" 43300K .......... .......... .......... .......... .......... 65% 597K 92s\n",
" 43350K .......... .......... .......... .......... .......... 65% 531K 91s\n",
" 43400K .......... .......... .......... .......... .......... 65% 564K 91s\n",
" 43450K .......... .......... .......... .......... .......... 65% 552K 91s\n",
" 43500K .......... .......... .......... .......... .......... 65% 590K 91s\n",
" 43550K .......... .......... .......... .......... .......... 65% 642K 90s\n",
" 43600K .......... .......... .......... .......... .......... 66% 553K 90s\n",
" 43650K .......... .......... .......... .......... .......... 66% 576K 90s\n",
" 43700K .......... .......... .......... .......... .......... 66% 502K 90s\n",
" 43750K .......... .......... .......... .......... .......... 66% 691K 89s\n",
" 43800K .......... .......... .......... .......... .......... 66% 446K 89s\n",
" 43850K .......... .......... .......... .......... .......... 66% 597K 89s\n",
" 43900K .......... .......... .......... .......... .......... 66% 637K 89s\n",
" 43950K .......... .......... .......... .......... .......... 66% 528K 88s\n",
" 44000K .......... .......... .......... .......... .......... 66% 242K 88s\n",
" 44050K .......... .......... .......... .......... .......... 66% 85.7K 88s\n",
" 44100K .......... .......... .......... .......... .......... 66% 210K 88s\n",
" 44150K .......... .......... .......... .......... .......... 66% 368K 88s\n",
" 44200K .......... .......... .......... .......... .......... 66% 277K 88s\n",
" 44250K .......... .......... .......... .......... .......... 67% 319K 87s\n",
" 44300K .......... .......... .......... .......... .......... 67% 367K 87s\n",
" 44350K .......... .......... .......... .......... .......... 67% 355K 87s\n",
" 44400K .......... .......... .......... .......... .......... 67% 442K 87s\n",
" 44450K .......... .......... .......... .......... .......... 67% 380K 86s\n",
" 44500K .......... .......... .......... .......... .......... 67% 444K 86s\n",
" 44550K .......... .......... .......... .......... .......... 67% 436K 86s\n",
" 44600K .......... .......... .......... .......... .......... 67% 415K 86s\n",
" 44650K .......... .......... .......... .......... .......... 67% 478K 85s\n",
" 44700K .......... .......... .......... .......... .......... 67% 605K 85s\n",
" 44750K .......... .......... .......... .......... .......... 67% 483K 85s\n",
" 44800K .......... .......... .......... .......... .......... 67% 412K 85s\n",
" 44850K .......... .......... .......... .......... .......... 67% 550K 84s\n",
" 44900K .......... .......... .......... .......... .......... 68% 554K 84s\n",
" 44950K .......... .......... .......... .......... .......... 68% 741K 84s\n",
" 45000K .......... .......... .......... .......... .......... 68% 589K 84s\n",
" 45050K .......... .......... .......... .......... .......... 68% 516K 83s\n",
" 45100K .......... .......... .......... .......... .......... 68% 556K 83s\n",
" 45150K .......... .......... .......... .......... .......... 68% 638K 83s\n",
" 45200K .......... .......... .......... .......... .......... 68% 583K 83s\n",
" 45250K .......... .......... .......... .......... .......... 68% 581K 82s\n",
" 45300K .......... .......... .......... .......... .......... 68% 435K 82s\n",
" 45350K .......... .......... .......... .......... .......... 68% 712K 82s\n",
" 45400K .......... .......... .......... .......... .......... 68% 498K 82s\n",
" 45450K .......... .......... .......... .......... .......... 68% 528K 81s\n",
" 45500K .......... .......... .......... .......... .......... 68% 591K 81s\n",
" 45550K .......... .......... .......... .......... .......... 68% 550K 81s\n",
" 45600K .......... .......... .......... .......... .......... 69% 581K 81s\n",
" 45650K .......... .......... .......... .......... .......... 69% 610K 80s\n",
" 45700K .......... .......... .......... .......... .......... 69% 574K 80s\n",
" 45750K .......... .......... .......... .......... .......... 69% 539K 80s\n",
" 45800K .......... .......... .......... .......... .......... 69% 560K 80s\n",
" 45850K .......... .......... .......... .......... .......... 69% 650K 79s\n",
" 45900K .......... .......... .......... .......... .......... 69% 562K 79s\n",
" 45950K .......... .......... .......... .......... .......... 69% 469K 79s\n",
" 46000K .......... .......... .......... .......... .......... 69% 606K 79s\n",
" 46050K .......... .......... .......... .......... .......... 69% 515K 79s\n",
" 46100K .......... .......... .......... .......... .......... 69% 593K 78s\n",
" 46150K .......... .......... .......... .......... .......... 69% 519K 78s\n",
" 46200K .......... .......... .......... .......... .......... 69% 726K 78s\n",
" 46250K .......... .......... .......... .......... .......... 70% 589K 78s\n",
" 46300K .......... .......... .......... .......... .......... 70% 498K 77s\n",
" 46350K .......... .......... .......... .......... .......... 70% 613K 77s\n",
" 46400K .......... .......... .......... .......... .......... 70% 506K 77s\n",
" 46450K .......... .......... .......... .......... .......... 70% 68.2K 77s\n",
" 46500K .......... .......... .......... .......... .......... 70% 281K 77s\n",
" 46550K .......... .......... .......... .......... .......... 70% 298K 76s\n",
" 46600K .......... .......... .......... .......... .......... 70% 320K 76s\n",
" 46650K .......... .......... .......... .......... .......... 70% 511K 76s\n",
" 46700K .......... .......... .......... .......... .......... 70% 341K 76s\n",
" 46750K .......... .......... .......... .......... .......... 70% 368K 76s\n",
" 46800K .......... .......... .......... .......... .......... 70% 415K 75s\n",
" 46850K .......... .......... .......... .......... .......... 70% 354K 75s\n",
" 46900K .......... .......... .......... .......... .......... 71% 399K 75s\n",
" 46950K .......... .......... .......... .......... .......... 71% 460K 75s\n",
" 47000K .......... .......... .......... .......... .......... 71% 419K 74s\n",
" 47050K .......... .......... .......... .......... .......... 71% 489K 74s\n",
" 47100K .......... .......... .......... .......... .......... 71% 489K 74s\n",
" 47150K .......... .......... .......... .......... .......... 71% 493K 74s\n",
" 47200K .......... .......... .......... .......... .......... 71% 529K 73s\n",
" 47250K .......... .......... .......... .......... .......... 71% 560K 73s\n",
" 47300K .......... .......... .......... .......... .......... 71% 602K 73s\n",
" 47350K .......... .......... .......... .......... .......... 71% 628K 73s\n",
" 47400K .......... .......... .......... .......... .......... 71% 552K 73s\n",
" 47450K .......... .......... .......... .......... .......... 71% 503K 72s\n",
" 47500K .......... .......... .......... .......... .......... 71% 582K 72s\n",
" 47550K .......... .......... .......... .......... .......... 72% 496K 72s\n",
" 47600K .......... .......... .......... .......... .......... 72% 517K 72s\n",
" 47650K .......... .......... .......... .......... .......... 72% 619K 71s\n",
" 47700K .......... .......... .......... .......... .......... 72% 501K 71s\n",
" 47750K .......... .......... .......... .......... .......... 72% 581K 71s\n",
" 47800K .......... .......... .......... .......... .......... 72% 574K 71s\n",
" 47850K .......... .......... .......... .......... .......... 72% 581K 70s\n",
" 47900K .......... .......... .......... .......... .......... 72% 628K 70s\n",
" 47950K .......... .......... .......... .......... .......... 72% 579K 70s\n",
" 48000K .......... .......... .......... .......... .......... 72% 544K 70s\n",
" 48050K .......... .......... .......... .......... .......... 72% 655K 69s\n",
" 48100K .......... .......... .......... .......... .......... 72% 599K 69s\n",
" 48150K .......... .......... .......... .......... .......... 72% 560K 69s\n",
" 48200K .......... .......... .......... .......... .......... 73% 573K 69s\n",
" 48250K .......... .......... .......... .......... .......... 73% 589K 69s\n",
" 48300K .......... .......... .......... .......... .......... 73% 575K 68s\n",
" 48350K .......... .......... .......... .......... .......... 73% 553K 68s\n",
" 48400K .......... .......... .......... .......... .......... 73% 524K 68s\n",
" 48450K .......... .......... .......... .......... .......... 73% 568K 68s\n",
" 48500K .......... .......... .......... .......... .......... 73% 269K 67s\n",
" 48550K .......... .......... .......... .......... .......... 73% 102M 67s\n",
" 48600K .......... .......... .......... .......... .......... 73% 60.8K 67s\n",
" 48650K .......... .......... .......... .......... .......... 73% 375K 67s\n",
" 48700K .......... .......... .......... .......... .......... 73% 288K 67s\n",
" 48750K .......... .......... .......... .......... .......... 73% 441K 67s\n",
" 48800K .......... .......... .......... .......... .......... 73% 377K 66s\n",
" 48850K .......... .......... .......... .......... .......... 73% 177K 66s\n",
" 48900K .......... .......... .......... .......... .......... 74% 338K 66s\n",
" 48950K .......... .......... .......... .......... .......... 74% 474K 66s\n",
" 49000K .......... .......... .......... .......... .......... 74% 326K 66s\n",
" 49050K .......... .......... .......... .......... .......... 74% 423K 65s\n",
" 49100K .......... .......... .......... .......... .......... 74% 457K 65s\n",
" 49150K .......... .......... .......... .......... .......... 74% 553K 65s\n",
" 49200K .......... .......... .......... .......... .......... 74% 383K 65s\n",
" 49250K .......... .......... .......... .......... .......... 74% 163K 65s\n",
" 49300K .......... .......... .......... .......... .......... 74% 92.1K 64s\n",
" 49350K .......... .......... .......... .......... .......... 74% 112K 64s\n",
" 49400K .......... .......... .......... .......... .......... 74% 263K 64s\n",
" 49450K .......... .......... .......... .......... .......... 74% 371K 64s\n",
" 49500K .......... .......... .......... .......... .......... 74% 274K 64s\n",
" 49550K .......... .......... .......... .......... .......... 75% 395K 64s\n",
" 49600K .......... .......... .......... .......... .......... 75% 295K 63s\n",
" 49650K .......... .......... .......... .......... .......... 75% 378K 63s\n",
" 49700K .......... .......... .......... .......... .......... 75% 406K 63s\n",
" 49750K .......... .......... .......... .......... .......... 75% 502K 63s\n",
" 49800K .......... .......... .......... .......... .......... 75% 386K 62s\n",
" 49850K .......... .......... .......... .......... .......... 75% 441K 62s\n",
" 49900K .......... .......... .......... .......... .......... 75% 342K 62s\n",
" 49950K .......... .......... .......... .......... .......... 75% 644K 62s\n",
" 50000K .......... .......... .......... .......... .......... 75% 447K 62s\n",
" 50050K .......... .......... .......... .......... .......... 75% 398K 61s\n",
" 50100K .......... .......... .......... .......... .......... 75% 498K 61s\n",
" 50150K .......... .......... .......... .......... .......... 75% 617K 61s\n",
" 50200K .......... .......... .......... .......... .......... 76% 539K 61s\n",
" 50250K .......... .......... .......... .......... .......... 76% 595K 61s\n",
" 50300K .......... .......... .......... .......... .......... 76% 546K 60s\n",
" 50350K .......... .......... .......... .......... .......... 76% 606K 60s\n",
" 50400K .......... .......... .......... .......... .......... 76% 488K 60s\n",
" 50450K .......... .......... .......... .......... .......... 76% 517K 60s\n",
" 50500K .......... .......... .......... .......... .......... 76% 753K 59s\n",
" 50550K .......... .......... .......... .......... .......... 76% 572K 59s\n",
" 50600K .......... .......... .......... .......... .......... 76% 501K 59s\n",
" 50650K .......... .......... .......... .......... .......... 76% 655K 59s\n",
" 50700K .......... .......... .......... .......... .......... 76% 597K 58s\n",
" 50750K .......... .......... .......... .......... .......... 76% 480K 58s\n",
" 50800K .......... .......... .......... .......... .......... 76% 524K 58s\n",
" 50850K .......... .......... .......... .......... .......... 77% 815K 58s\n",
" 50900K .......... .......... .......... .......... .......... 77% 569K 58s\n",
" 50950K .......... .......... .......... .......... .......... 77% 511K 57s\n",
" 51000K .......... .......... .......... .......... .......... 77% 586K 57s\n",
" 51050K .......... .......... .......... .......... .......... 77% 540K 57s\n",
" 51100K .......... .......... .......... .......... .......... 77% 679K 57s\n",
" 51150K .......... .......... .......... .......... .......... 77% 546K 57s\n",
" 51200K .......... .......... .......... .......... .......... 77% 567K 56s\n",
" 51250K .......... .......... .......... .......... .......... 77% 588K 56s\n",
" 51300K .......... .......... .......... .......... .......... 77% 522K 56s\n",
" 51350K .......... .......... .......... .......... .......... 77% 501K 56s\n",
" 51400K .......... .......... .......... .......... .......... 77% 615K 55s\n",
" 51450K .......... .......... .......... .......... .......... 77% 578K 55s\n",
" 51500K .......... .......... .......... .......... .......... 77% 619K 55s\n",
" 51550K .......... .......... .......... .......... .......... 78% 555K 55s\n",
" 51600K .......... .......... .......... .......... .......... 78% 535K 55s\n",
" 51650K .......... .......... .......... .......... .......... 78% 558K 54s\n",
" 51700K .......... .......... .......... .......... .......... 78% 558K 54s\n",
" 51750K .......... .......... .......... .......... .......... 78% 604K 54s\n",
" 51800K .......... .......... .......... .......... .......... 78% 545K 54s\n",
" 51850K .......... .......... .......... .......... .......... 78% 642K 53s\n",
" 51900K .......... .......... .......... .......... .......... 78% 554K 53s\n",
" 51950K .......... .......... .......... .......... .......... 78% 619K 53s\n",
" 52000K .......... .......... .......... .......... .......... 78% 377K 53s\n",
" 52050K .......... .......... .......... .......... .......... 78% 62.5K 53s\n",
" 52100K .......... .......... .......... .......... .......... 78% 331K 53s\n",
" 52150K .......... .......... .......... .......... .......... 78% 278K 52s\n",
" 52200K .......... .......... .......... .......... .......... 79% 452K 52s\n",
" 52250K .......... .......... .......... .......... .......... 79% 395K 52s\n",
" 52300K .......... .......... .......... .......... .......... 79% 364K 52s\n",
" 52350K .......... .......... .......... .......... .......... 79% 325K 52s\n",
" 52400K .......... .......... .......... .......... .......... 79% 427K 51s\n",
" 52450K .......... .......... .......... .......... .......... 79% 489K 51s\n",
" 52500K .......... .......... .......... .......... .......... 79% 379K 51s\n",
" 52550K .......... .......... .......... .......... .......... 79% 458K 51s\n",
" 52600K .......... .......... .......... .......... .......... 79% 566K 51s\n",
" 52650K .......... .......... .......... .......... .......... 79% 481K 50s\n",
" 52700K .......... .......... .......... .......... .......... 79% 472K 50s\n",
" 52750K .......... .......... .......... .......... .......... 79% 450K 50s\n",
" 52800K .......... .......... .......... .......... .......... 79% 516K 50s\n",
" 52850K .......... .......... .......... .......... .......... 80% 715K 50s\n",
" 52900K .......... .......... .......... .......... .......... 80% 595K 49s\n",
" 52950K .......... .......... .......... .......... .......... 80% 547K 49s\n",
" 53000K .......... .......... .......... .......... .......... 80% 501K 49s\n",
" 53050K .......... .......... .......... .......... .......... 80% 579K 49s\n",
" 53100K .......... .......... .......... .......... .......... 80% 501K 48s\n",
" 53150K .......... .......... .......... .......... .......... 80% 738K 48s\n",
" 53200K .......... .......... .......... .......... .......... 80% 591K 48s\n",
" 53250K .......... .......... .......... .......... .......... 80% 542K 48s\n",
" 53300K .......... .......... .......... .......... .......... 80% 674K 48s\n",
" 53350K .......... .......... .......... .......... .......... 80% 555K 47s\n",
" 53400K .......... .......... .......... .......... .......... 80% 569K 47s\n",
" 53450K .......... .......... .......... .......... .......... 80% 476K 47s\n",
" 53500K .......... .......... .......... .......... .......... 81% 545K 47s\n",
" 53550K .......... .......... .......... .......... .......... 81% 736K 47s\n",
" 53600K .......... .......... .......... .......... .......... 81% 585K 46s\n",
" 53650K .......... .......... .......... .......... .......... 81% 577K 46s\n",
" 53700K .......... .......... .......... .......... .......... 81% 455K 46s\n",
" 53750K .......... .......... .......... .......... .......... 81% 699K 46s\n",
" 53800K .......... .......... .......... .......... .......... 81% 494K 46s\n",
" 53850K .......... .......... .......... .......... .......... 81% 609K 45s\n",
" 53900K .......... .......... .......... .......... .......... 81% 603K 45s\n",
" 53950K .......... .......... .......... .......... .......... 81% 485K 45s\n",
" 54000K .......... .......... .......... .......... .......... 81% 545K 45s\n",
" 54050K .......... .......... .......... .......... .......... 81% 802K 44s\n",
" 54100K .......... .......... .......... .......... .......... 81% 463K 44s\n",
" 54150K .......... .......... .......... .......... .......... 82% 577K 44s\n",
" 54200K .......... .......... .......... .......... .......... 82% 495K 44s\n",
" 54250K .......... .......... .......... .......... .......... 82% 572K 44s\n",
" 54300K .......... .......... .......... .......... .......... 82% 610K 43s\n",
" 54350K .......... .......... .......... .......... .......... 82% 620K 43s\n",
" 54400K .......... .......... .......... .......... .......... 82% 569K 43s\n",
" 54450K .......... .......... .......... .......... .......... 82% 573K 43s\n",
" 54500K .......... .......... .......... .......... .......... 82% 541K 43s\n",
" 54550K .......... .......... .......... .......... .......... 82% 587K 42s\n",
" 54600K .......... .......... .......... .......... .......... 82% 503K 42s\n",
" 54650K .......... .......... .......... .......... .......... 82% 545K 42s\n",
" 54700K .......... .......... .......... .......... .......... 82% 613K 42s\n",
" 54750K .......... .......... .......... .......... .......... 82% 597K 42s\n",
" 54800K .......... .......... .......... .......... .......... 82% 581K 41s\n",
" 54850K .......... .......... .......... .......... .......... 83% 489K 41s\n",
" 54900K .......... .......... .......... .......... .......... 83% 536K 41s\n",
" 54950K .......... .......... .......... .......... .......... 83% 529K 41s\n",
" 55000K .......... .......... .......... .......... .......... 83% 591K 41s\n",
" 55050K .......... .......... .......... .......... .......... 83% 220K 40s\n",
" 55100K .......... .......... .......... .......... .......... 83% 68.1K 40s\n",
" 55150K .......... .......... .......... .......... .......... 83% 223K 40s\n",
" 55200K .......... .......... .......... .......... .......... 83% 259K 40s\n",
" 55250K .......... .......... .......... .......... .......... 83% 369K 40s\n",
" 55300K .......... .......... .......... .......... .......... 83% 309K 40s\n",
" 55350K .......... .......... .......... .......... .......... 83% 379K 39s\n",
" 55400K .......... .......... .......... .......... .......... 83% 443K 39s\n",
" 55450K .......... .......... .......... .......... .......... 83% 423K 39s\n",
" 55500K .......... .......... .......... .......... .......... 84% 350K 39s\n",
" 55550K .......... .......... .......... .......... .......... 84% 435K 39s\n",
" 55600K .......... .......... .......... .......... .......... 84% 445K 38s\n",
" 55650K .......... .......... .......... .......... .......... 84% 397K 38s\n",
" 55700K .......... .......... .......... .......... .......... 84% 463K 38s\n",
" 55750K .......... .......... .......... .......... .......... 84% 547K 38s\n",
" 55800K .......... .......... .......... .......... .......... 84% 442K 38s\n",
" 55850K .......... .......... .......... .......... .......... 84% 507K 37s\n",
" 55900K .......... .......... .......... .......... .......... 84% 477K 37s\n",
" 55950K .......... .......... .......... .......... .......... 84% 540K 37s\n",
" 56000K .......... .......... .......... .......... .......... 84% 630K 37s\n",
" 56050K .......... .......... .......... .......... .......... 84% 587K 37s\n",
" 56100K .......... .......... .......... .......... .......... 84% 530K 36s\n",
" 56150K .......... .......... .......... .......... .......... 85% 589K 36s\n",
" 56200K .......... .......... .......... .......... .......... 85% 584K 36s\n",
" 56250K .......... .......... .......... .......... .......... 85% 640K 36s\n",
" 56300K .......... .......... .......... .......... .......... 85% 487K 36s\n",
" 56350K .......... .......... .......... .......... .......... 85% 603K 35s\n",
" 56400K .......... .......... .......... .......... .......... 85% 782K 35s\n",
" 56450K .......... .......... .......... .......... .......... 85% 547K 35s\n",
" 56500K .......... .......... .......... .......... .......... 85% 545K 35s\n",
" 56550K .......... .......... .......... .......... .......... 85% 576K 35s\n",
" 56600K .......... .......... .......... .......... .......... 85% 578K 34s\n",
" 56650K .......... .......... .......... .......... .......... 85% 522K 34s\n",
" 56700K .......... .......... .......... .......... .......... 85% 541K 34s\n",
" 56750K .......... .......... .......... .......... .......... 85% 586K 34s\n",
" 56800K .......... .......... .......... .......... .......... 86% 659K 34s\n",
" 56850K .......... .......... .......... .......... .......... 86% 543K 33s\n",
" 56900K .......... .......... .......... .......... .......... 86% 401K 33s\n",
" 56950K .......... .......... .......... .......... .......... 86% 576K 33s\n",
" 57000K .......... .......... .......... .......... .......... 86% 566K 33s\n",
" 57050K .......... .......... .......... .......... .......... 86% 694K 33s\n",
" 57100K .......... .......... .......... .......... .......... 86% 482K 32s\n",
" 57150K .......... .......... .......... .......... .......... 86% 552K 32s\n",
" 57200K .......... .......... .......... .......... .......... 86% 489K 32s\n",
" 57250K .......... .......... .......... .......... .......... 86% 485K 32s\n",
" 57300K .......... .......... .......... .......... .......... 86% 606K 32s\n",
" 57350K .......... .......... .......... .......... .......... 86% 451K 31s\n",
" 57400K .......... .......... .......... .......... .......... 86% 570K 31s\n",
" 57450K .......... .......... .......... .......... .......... 86% 618K 31s\n",
" 57500K .......... .......... .......... .......... .......... 87% 566K 31s\n",
" 57550K .......... .......... .......... .......... .......... 87% 585K 31s\n",
" 57600K .......... .......... .......... .......... .......... 87% 547K 31s\n",
" 57650K .......... .......... .......... .......... .......... 87% 547K 30s\n",
" 57700K .......... .......... .......... .......... .......... 87% 616K 30s\n",
" 57750K .......... .......... .......... .......... .......... 87% 555K 30s\n",
" 57800K .......... .......... .......... .......... .......... 87% 573K 30s\n",
" 57850K .......... .......... .......... .......... .......... 87% 521K 30s\n",
" 57900K .......... .......... .......... .......... .......... 87% 605K 29s\n",
" 57950K .......... .......... .......... .......... .......... 87% 458K 29s\n",
" 58000K .......... .......... .......... .......... .......... 87% 546K 29s\n",
" 58050K .......... .......... .......... .......... .......... 87% 755K 29s\n",
" 58100K .......... .......... .......... .......... .......... 87% 517K 29s\n",
" 58150K .......... .......... .......... .......... .......... 88% 581K 28s\n",
" 58200K .......... .......... .......... .......... .......... 88% 552K 28s\n",
" 58250K .......... .......... .......... .......... .......... 88% 545K 28s\n",
" 58300K .......... .......... .......... .......... .......... 88% 626K 28s\n",
" 58350K .......... .......... .......... .......... .......... 88% 564K 28s\n",
" 58400K .......... .......... .......... .......... .......... 88% 588K 27s\n",
" 58450K .......... .......... .......... .......... .......... 88% 543K 27s\n",
" 58500K .......... .......... .......... .......... .......... 88% 519K 27s\n",
" 58550K .......... .......... .......... .......... .......... 88% 579K 27s\n",
" 58600K .......... .......... .......... .......... .......... 88% 577K 27s\n",
" 58650K .......... .......... .......... .......... .......... 88% 488K 26s\n",
" 58700K .......... .......... .......... .......... .......... 88% 590K 26s\n",
" 58750K .......... .......... .......... .......... .......... 88% 759K 26s\n",
" 58800K .......... .......... .......... .......... .......... 89% 530K 26s\n",
" 58850K .......... .......... .......... .......... .......... 89% 536K 26s\n",
" 58900K .......... .......... .......... .......... .......... 89% 530K 26s\n",
" 58950K .......... .......... .......... .......... .......... 89% 687K 25s\n",
" 59000K .......... .......... .......... .......... .......... 89% 561K 25s\n",
" 59050K .......... .......... .......... .......... .......... 89% 580K 25s\n",
" 59100K .......... .......... .......... .......... .......... 89% 433K 25s\n",
" 59150K .......... .......... .......... .......... .......... 89% 595K 25s\n",
" 59200K .......... .......... .......... .......... .......... 89% 690K 24s\n",
" 59250K .......... .......... .......... .......... .......... 89% 497K 24s\n",
" 59300K .......... .......... .......... .......... .......... 89% 573K 24s\n",
" 59350K .......... .......... .......... .......... .......... 89% 222K 24s\n",
" 59400K .......... .......... .......... .......... .......... 89% 77.0K 24s\n",
" 59450K .......... .......... .......... .......... .......... 90% 350K 24s\n",
" 59500K .......... .......... .......... .......... .......... 90% 271K 23s\n",
" 59550K .......... .......... .......... .......... .......... 90% 388K 23s\n",
" 59600K .......... .......... .......... .......... .......... 90% 260K 23s\n",
" 59650K .......... .......... .......... .......... .......... 90% 435K 23s\n",
" 59700K .......... .......... .......... .......... .......... 90% 376K 23s\n",
" 59750K .......... .......... .......... .......... .......... 90% 382K 22s\n",
" 59800K .......... .......... .......... .......... .......... 90% 370K 22s\n",
" 59850K .......... .......... .......... .......... .......... 90% 454K 22s\n",
" 59900K .......... .......... .......... .......... .......... 90% 546K 22s\n",
" 59950K .......... .......... .......... .......... .......... 90% 362K 22s\n",
" 60000K .......... .......... .......... .......... .......... 90% 468K 22s\n",
" 60050K .......... .......... .......... .......... .......... 90% 530K 21s\n",
" 60100K .......... .......... .......... .......... .......... 91% 496K 21s\n",
" 60150K .......... .......... .......... .......... .......... 91% 486K 21s\n",
" 60200K .......... .......... .......... .......... .......... 91% 537K 21s\n",
" 60250K .......... .......... .......... .......... .......... 91% 585K 21s\n",
" 60300K .......... .......... .......... .......... .......... 91% 463K 20s\n",
" 60350K .......... .......... .......... .......... .......... 91% 549K 20s\n",
" 60400K .......... .......... .......... .......... .......... 91% 812K 20s\n",
" 60450K .......... .......... .......... .......... .......... 91% 558K 20s\n",
" 60500K .......... .......... .......... .......... .......... 91% 522K 20s\n",
" 60550K .......... .......... .......... .......... .......... 91% 559K 19s\n",
" 60600K .......... .......... .......... .......... .......... 91% 649K 19s\n",
" 60650K .......... .......... .......... .......... .......... 91% 580K 19s\n",
" 60700K .......... .......... .......... .......... .......... 91% 579K 19s\n",
" 60750K .......... .......... .......... .......... .......... 91% 563K 19s\n",
" 60800K .......... .......... .......... .......... .......... 92% 511K 19s\n",
" 60850K .......... .......... .......... .......... .......... 92% 704K 18s\n",
" 60900K .......... .......... .......... .......... .......... 92% 570K 18s\n",
" 60950K .......... .......... .......... .......... .......... 92% 534K 18s\n",
" 61000K .......... .......... .......... .......... .......... 92% 552K 18s\n",
" 61050K .......... .......... .......... .......... .......... 92% 569K 18s\n",
" 61100K .......... .......... .......... .......... .......... 92% 726K 17s\n",
" 61150K .......... .......... .......... .......... .......... 92% 471K 17s\n",
" 61200K .......... .......... .......... .......... .......... 92% 584K 17s\n",
" 61250K .......... .......... .......... .......... .......... 92% 636K 17s\n",
" 61300K .......... .......... .......... .......... .......... 92% 558K 17s\n",
" 61350K .......... .......... .......... .......... .......... 92% 499K 17s\n",
" 61400K .......... .......... .......... .......... .......... 92% 680K 16s\n",
" 61450K .......... .......... .......... .......... .......... 93% 610K 16s\n",
" 61500K .......... .......... .......... .......... .......... 93% 501K 16s\n",
" 61550K .......... .......... .......... .......... .......... 93% 567K 16s\n",
" 61600K .......... .......... .......... .......... .......... 93% 559K 16s\n",
" 61650K .......... .......... .......... .......... .......... 93% 546K 15s\n",
" 61700K .......... .......... .......... .......... .......... 93% 654K 15s\n",
" 61750K .......... .......... .......... .......... .......... 93% 590K 15s\n",
" 61800K .......... .......... .......... .......... .......... 93% 560K 15s\n",
" 61850K .......... .......... .......... .......... .......... 93% 581K 15s\n",
" 61900K .......... .......... .......... .......... .......... 93% 536K 15s\n",
" 61950K .......... .......... .......... .......... .......... 93% 616K 14s\n",
" 62000K .......... .......... .......... .......... .......... 93% 539K 14s\n",
" 62050K .......... .......... .......... .......... .......... 93% 576K 14s\n",
" 62100K .......... .......... .......... .......... .......... 94% 491K 14s\n",
" 62150K .......... .......... .......... .......... .......... 94% 503K 14s\n",
" 62200K .......... .......... .......... .......... .......... 94% 769K 13s\n",
" 62250K .......... .......... .......... .......... .......... 94% 569K 13s\n",
" 62300K .......... .......... .......... .......... .......... 94% 541K 13s\n",
" 62350K .......... .......... .......... .......... .......... 94% 559K 13s\n",
" 62400K .......... .......... .......... .......... .......... 94% 650K 13s\n",
" 62450K .......... .......... .......... .......... .......... 94% 477K 13s\n",
" 62500K .......... .......... .......... .......... .......... 94% 592K 12s\n",
" 62550K .......... .......... .......... .......... .......... 94% 715K 12s\n",
" 62600K .......... .......... .......... .......... .......... 94% 603K 12s\n",
" 62650K .......... .......... .......... .......... .......... 94% 553K 12s\n",
" 62700K .......... .......... .......... .......... .......... 94% 530K 12s\n",
" 62750K .......... .......... .......... .......... .......... 95% 574K 11s\n",
" 62800K .......... .......... .......... .......... .......... 95% 566K 11s\n",
" 62850K .......... .......... .......... .......... .......... 95% 535K 11s\n",
" 62900K .......... .......... .......... .......... .......... 95% 656K 11s\n",
" 62950K .......... .......... .......... .......... .......... 95% 546K 11s\n",
" 63000K .......... .......... .......... .......... .......... 95% 546K 11s\n",
" 63050K .......... .......... .......... .......... .......... 95% 593K 10s\n",
" 63100K .......... .......... .......... .......... .......... 95% 474K 10s\n",
" 63150K .......... .......... .......... .......... .......... 95% 513K 10s\n",
" 63200K .......... .......... .......... .......... .......... 95% 557K 10s\n",
" 63250K .......... .......... .......... .......... .......... 95% 870K 10s\n",
" 63300K .......... .......... .......... .......... .......... 95% 466K 10s\n",
" 63350K .......... .......... .......... .......... .......... 95% 568K 9s\n",
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" 63450K .......... .......... .......... .......... .......... 96% 556K 9s\n",
" 63500K .......... .......... .......... .......... .......... 96% 679K 9s\n",
" 63550K .......... .......... .......... .......... .......... 96% 457K 9s\n",
" 63600K .......... .......... .......... .......... .......... 96% 577K 8s\n",
" 63650K .......... .......... .......... .......... .......... 96% 652K 8s\n",
" 63700K .......... .......... .......... .......... .......... 96% 569K 8s\n",
" 63750K .......... .......... .......... .......... .......... 96% 564K 8s\n",
" 63800K .......... .......... .......... .......... .......... 96% 616K 8s\n",
" 63850K .......... .......... .......... .......... .......... 96% 426K 8s\n",
" 63900K .......... .......... .......... .......... .......... 96% 285K 7s\n",
" 63950K .......... .......... .......... .......... .......... 96% 70.5K 7s\n",
" 64000K .......... .......... .......... .......... .......... 96% 327K 7s\n",
" 64050K .......... .......... .......... .......... .......... 96% 285K 7s\n",
" 64100K .......... .......... .......... .......... .......... 97% 360K 7s\n",
" 64150K .......... .......... .......... .......... .......... 97% 291K 7s\n",
" 64200K .......... .......... .......... .......... .......... 97% 390K 6s\n",
" 64250K .......... .......... .......... .......... .......... 97% 405K 6s\n",
" 64300K .......... .......... .......... .......... .......... 97% 379K 6s\n",
" 64350K .......... .......... .......... .......... .......... 97% 391K 6s\n",
" 64400K .......... .......... .......... .......... .......... 97% 450K 6s\n",
" 64450K .......... .......... .......... .......... .......... 97% 441K 6s\n",
" 64500K .......... .......... .......... .......... .......... 97% 464K 5s\n",
" 64550K .......... .......... .......... .......... .......... 97% 500K 5s\n",
" 64600K .......... .......... .......... .......... .......... 97% 462K 5s\n",
" 64650K .......... .......... .......... .......... .......... 97% 424K 5s\n",
" 64700K .......... .......... .......... .......... .......... 97% 503K 5s\n",
" 64750K .......... .......... .......... .......... .......... 98% 737K 4s\n",
" 64800K .......... .......... .......... .......... .......... 98% 508K 4s\n",
" 64850K .......... .......... .......... .......... .......... 98% 523K 4s\n",
" 64900K .......... .......... .......... .......... .......... 98% 234K 4s\n",
" 64950K .......... .......... .......... .......... .......... 98% 60.3M 4s\n",
" 65000K .......... .......... .......... .......... .......... 98% 56.3K 4s\n",
" 65050K .......... .......... .......... .......... .......... 98% 237K 3s\n",
" 65100K .......... .......... .......... .......... .......... 98% 371K 3s\n",
" 65150K .......... .......... .......... .......... .......... 98% 314K 3s\n",
" 65200K .......... .......... .......... .......... .......... 98% 344K 3s\n",
" 65250K .......... .......... .......... .......... .......... 98% 421K 3s\n",
" 65300K .......... .......... .......... .......... .......... 98% 353K 3s\n",
" 65350K .......... .......... .......... .......... .......... 98% 312K 2s\n",
" 65400K .......... .......... .......... .......... .......... 99% 438K 2s\n",
" 65450K .......... .......... .......... .......... .......... 99% 531K 2s\n",
" 65500K .......... .......... .......... .......... .......... 99% 417K 2s\n",
" 65550K .......... .......... .......... .......... .......... 99% 459K 2s\n",
" 65600K .......... .......... .......... .......... .......... 99% 513K 2s\n",
" 65650K .......... .......... .......... .......... .......... 99% 488K 1s\n",
" 65700K .......... .......... .......... .......... .......... 99% 513K 1s\n",
" 65750K .......... .......... .......... .......... .......... 99% 559K 1s\n",
" 65800K .......... .......... .......... .......... .......... 99% 512K 1s\n",
" 65850K .......... .......... .......... .......... .......... 99% 538K 1s\n",
" 65900K .......... .......... .......... .......... .......... 99% 557K 0s\n",
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" 66050K .......... .......... .......... .......... ... 100% 599K=3m47s\n",
"\n",
"2018-08-24 08:20:11 (291 KB/s) - ‘L1808240913061E05834179_SC00.fits’ saved [67680000/67680000]\n",
"\n",
"--2018-08-24 08:20:11-- https://fermi.gsfc.nasa.gov/FTP/fermi/data/lat/queries/L1808240913061E05834179_PH01.fits\n",
"Resolving fermi.gsfc.nasa.gov (fermi.gsfc.nasa.gov)... 129.164.179.26, 2001:4d0:2310:150::26\n",
"Connecting to fermi.gsfc.nasa.gov (fermi.gsfc.nasa.gov)|129.164.179.26|:443... connected.\n",
"HTTP request sent, awaiting response... 200 OK\n",
"Length: 9469440 (9.0M) [application/fits]\n",
"Saving to: ‘L1808240913061E05834179_PH01.fits’\n",
"\n",
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" 9200K .......... .......... .......... .......... ....... 100% 19.3K=3m33s\n",
"\n",
"2018-08-24 08:23:45 (43.4 KB/s) - ‘L1808240913061E05834179_PH01.fits’ saved [9469440/9469440]\n",
"\n"
]
}
],
"source": [
"%%bash\n",
"wget https://fermi.gsfc.nasa.gov/FTP/fermi/data/lat/queries/L1808240913061E05834179_PH00.fits\n",
"wget https://fermi.gsfc.nasa.gov/FTP/fermi/data/lat/queries/L1808240913061E05834179_SC00.fits\n",
"wget https://fermi.gsfc.nasa.gov/FTP/fermi/data/lat/queries/L1808240913061E05834179_PH01.fits"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"%%bash\n",
"ls *_PH* > events.txt\n",
"mv L1808240913061E05834179_SC00.fits SC00.fits"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"filter['infile'] = '@events.txt'\n",
"filter['outfile'] = '3C279_filtered.fits'\n",
"filter['ra'] = 194.047\n",
"filter['dec'] = -5.78931\n",
"filter['rad'] = 15\n",
"filter['tmin'] = 239557417\n",
"filter['tmax'] = 255398400\n",
"filter['emin'] = 100\n",
"filter['emax'] = 100000\n",
"filter['zmax'] = 100\n",
"filter['evclass'] = 128"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time -p /home/oamacias/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/bin/gtselect infile=@events.txt outfile=3C279_filtered.fits ra=194.047 dec=-5.78931 rad=15.0 tmin=239557417.0 tmax=255398400.0 emin=100.0 emax=100000.0 zmin=0.0 zmax=100.0 evclass=128 evclsmin=0 evclsmax=10 evtype=\"INDEF\" convtype=-1 phasemin=0.0 phasemax=1.0 evtable=\"EVENTS\" chatter=2 clobber=yes debug=no gui=no mode=\"ql\"\n",
"Done.\n",
"real 0.56\n",
"user 0.49\n",
"sys 0.06\n"
]
}
],
"source": [
"filter.run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### maketime (or gtmketime)\n",
"\n",
"* This program marks times of bad data \n",
"* Can also do complex filtering using it\n",
"* Check out the FSSC site for more details."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time -p /home/oamacias/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/bin/gtmktime scfile=SC00.fits sctable=\"SC_DATA\" filter=\"DATA_QUAL>0 && LAT_CONFIG==1\" roicut=yes evfile=3C279_filtered.fits evtable=\"EVENTS\" outfile=\"3C279_mktime.fits\" apply_filter=yes overwrite=no header_obstimes=yes tstart=0.0 tstop=0.0 gtifile=\"default\" chatter=2 clobber=yes debug=no gui=no mode=\"ql\"\n",
"real 0.72\n",
"user 0.67\n",
"sys 0.04\n"
]
}
],
"source": [
"from gt_apps import maketime\n",
"maketime['evfile'] = '3C279_filtered.fits'\n",
"maketime['outfile'] = '3C279_mktime.fits'\n",
"maketime['scfile'] = 'SC00.fits'\n",
"maketime['filter'] = 'DATA_QUAL>0 && LAT_CONFIG==1'\n",
"maketime['apply_filter'] = 'yes'\n",
"maketime['roicut'] = 'yes'\n",
"maketime.run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### gtbin (or evtbin)\n",
"\n",
"* Used to make counts maps (pictures) or bin the data in time and/or energy.\n",
"* We're going to use it to look at our ROI."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [],
"source": [
"from gt_apps import evtbin"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [],
"source": [
"evtbin['evfile'] = '3C279_mktime.fits'\n",
"evtbin['outfile'] = '3C279_cmap.fits'\n",
"evtbin['algorithm'] = 'cmap'\n",
"evtbin['nxpix'] = 100\n",
"evtbin['nypix'] = 100\n",
"evtbin['binsz'] = 0.2\n",
"evtbin['coordsys'] = 'CEL'\n",
"evtbin['xref'] = 194.047\n",
"evtbin['yref'] = -5.78931\n",
"evtbin['axisrot'] = 0.0\n",
"evtbin['proj'] = 'CAR'"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time -p /home/oamacias/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/bin/gtbin evfile=3C279_mktime.fits scfile=NONE outfile=3C279_cmap.fits algorithm=\"cmap\" ebinalg=\"LOG\" emin=30.0 emax=200000.0 ebinfile=NONE tbinalg=\"LIN\" tbinfile=NONE nxpix=100 nypix=100 binsz=0.2 coordsys=\"CEL\" xref=194.047 yref=-5.78931 axisrot=0.0 rafield=\"RA\" decfield=\"DEC\" proj=\"CAR\" hpx_ordering_scheme=\"RING\" hpx_order=3 hpx_ebin=yes hpx_region=\"\" evtable=\"EVENTS\" sctable=\"SC_DATA\" efield=\"ENERGY\" tfield=\"TIME\" chatter=2 clobber=yes debug=no gui=no mode=\"ql\"\n",
"This is gtbin version ScienceTools-v11r5p3-fssc-20170716\n",
"gtbin: WARNING: No spacecraft file: EXPOSURE keyword will be set equal to ontime.\n",
"real 0.15\n",
"user 0.14\n",
"sys 0.00\n"
]
}
],
"source": [
"evtbin.run()"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"cmap_hdu = pyfits.open('3C279_cmap.fits')"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Filename: 3C279_cmap.fits\n",
"No. Name Ver Type Cards Dimensions Format\n",
" 0 PRIMARY 1 PrimaryHDU 123 (100, 100) int32 \n",
" 1 GTI 1 BinTableHDU 48 3711R x 2C [D, D] \n",
"None\n"
]
}
],
"source": [
"print cmap_hdu.info()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(10, 10))\n",
"plt.imshow(cmap_hdu[0].data,origin='lower')\n",
"plt.annotate(\n",
" '', xy=(0, 90), xycoords = 'data',\n",
" xytext = (40, 90), textcoords = 'data',\n",
" arrowprops = {'facecolor':'white','edgecolor':'white'})\n",
"plt.annotate(\n",
" '', xy=(99, 90), xycoords = 'data',\n",
" xytext = (40, 90), textcoords = 'data',\n",
" arrowprops = {'facecolor':'white','edgecolor':'white'})\n",
"plt.text(40, 85, '20 Degrees',fontsize=20,color='white')\n",
"plt.text(65,-15,\"0.1 GeV - 100 GeV\",fontsize=20)\n",
"plt.xlabel('Pixels')\n",
"plt.ylabel('Pixels')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Channels of position and energy\n",
"====================================\n",
" * Calculate the counts cube (counts map binned in energy) \n",
" * This is useful to see how our ROI changes with energy\n",
" * (We'll also need this later in the analysis)\n",
" * Notice that we used 'cmap' before and now we're using 'ccube'"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"evtbin['algorithm'] = 'CCUBE'\n",
"evtbin['evfile'] = '3C279_mktime.fits'\n",
"evtbin['outfile'] = '3C279_ccube.fits'\n",
"evtbin['nxpix'] = 100\n",
"evtbin['nypix'] = 100\n",
"evtbin['binsz'] = 0.2\n",
"evtbin['coordsys'] = 'CEL'\n",
"evtbin['xref'] = 194.047\n",
"evtbin['yref'] = -5.78931\n",
"evtbin['axisrot'] = 0.0\n",
"evtbin['proj'] = 'CAR'\n",
"evtbin['ebinalg'] = 'LOG'\n",
"evtbin['emin'] = 100\n",
"evtbin['emax'] = 100000\n",
"evtbin['enumbins'] = 20"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time -p /home/oamacias/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/bin/gtbin evfile=3C279_mktime.fits scfile=NONE outfile=3C279_ccube.fits algorithm=\"CCUBE\" ebinalg=\"LOG\" emin=100.0 emax=100000.0 enumbins=20 ebinfile=NONE tbinalg=\"LIN\" tbinfile=NONE nxpix=100 nypix=100 binsz=0.2 coordsys=\"CEL\" xref=194.047 yref=-5.78931 axisrot=0.0 rafield=\"RA\" decfield=\"DEC\" proj=\"CAR\" hpx_ordering_scheme=\"RING\" hpx_order=3 hpx_ebin=yes hpx_region=\"\" evtable=\"EVENTS\" sctable=\"SC_DATA\" efield=\"ENERGY\" tfield=\"TIME\" chatter=2 clobber=yes debug=no gui=no mode=\"ql\"\n",
"This is gtbin version ScienceTools-v11r5p3-fssc-20170716\n",
"gtbin: WARNING: No spacecraft file: EXPOSURE keyword will be set equal to ontime.\n",
"real 0.18\n",
"user 0.17\n",
"sys 0.01\n"
]
}
],
"source": [
"evtbin.run()"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"ccube_hdu = pyfits.open('3C279_ccube.fits')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Why did we pick the binning we did?\n",
"* Response functions are minimally parameterized in the inclination angle (theta) and energy\n",
" * Bin or step sizes used in exposure calculations should consider how quickly the efficiency changes in space or energy\n",
" * At least 10 bins per decade in energy to avoid errors in estimation where the effective area changes rapidly\n",
" * No single, strict recommendation on spatial binning\n",
" * 1 deg default sufficient for making maps\n",
" * The Binned likelihood is matched to data binning\n",
" * gtexposure invokes a spectral assumption - this has a noticeable impact \n",
" * Remember that both the efficiency and angular reconstruction depend on energy"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Filename: 3C279_ccube.fits\n",
"No. Name Ver Type Cards Dimensions Format\n",
" 0 PRIMARY 1 PrimaryHDU 129 (100, 100, 20) int32 \n",
" 1 EBOUNDS 1 BinTableHDU 43 20R x 3C [I, 1E, 1E] \n",
" 2 GTI 1 BinTableHDU 49 3711R x 2C [D, D] \n"
]
}
],
"source": [
"ccube_hdu.info()"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"import time\n",
"from IPython.display import display,clear_output"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, ax = plt.subplots(figsize=(10, 10))\n",
"for i, ccube in enumerate(ccube_hdu[0].data):\n",
" time.sleep(0.2)\n",
" plt.imshow(ccube,origin='lower')\n",
" plt.xlabel('pixels')\n",
" plt.ylabel('pixels')\n",
" label = \"{:.2f} GeV - {:.2f} GeV\".format(ccube_hdu[1].data['E_MIN'][i]/1e6,\n",
" ccube_hdu[1].data['E_MAX'][i]/1e6)\n",
" plt.text(5,5,label,fontsize=20, color='white')\n",
" clear_output(wait=True)\n",
" display(f)\n",
" ax.cla()\n",
" \n",
"plt.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"* Analyze events in channels of position and energy...\n",
"* ... as we are interested in spatial and energy dependence of sources\n",
"* ... best sensitivity achieved by using all information possible (as long as it can be modeled accurately!)\n",
"\n",
"At higher energies there are fewer photon,\n",
" 1. Sources look less spread out (narrower PSF),\n",
" 2. There is less background.\n",
"At lower energies there are lots of photons,\n",
" 1. Sources look more spread out (broader PSF) and are more confused\n",
" 2. There is a lot of background!\n",
"Sources are most clearly detectable somewhere in the middle."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Calculating Livetime and Exposure\n",
"---------------------------------\n",
"* Calculating the exposure is a two-step process\n",
" * **Livetime:** formally the time when the detector is available to collect data\n",
" * For analysis, we additionally require good data quality and select to remove high background\n",
" * The LAT has a large FoV with varying response: need to know when and where\n",
" * **Exposure:** for practical purposes, the number that converts counts to photon flux\n",
" * Apply expected photon detection efficiency and angular resolution\n",
" * Depends on the event selection\n",
" * Depends on the direction of the photon relative to the instrument boresight and energy"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"from gt_apps import expCube"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"' evfile=\"\" evtable=\"EVENTS\" scfile= sctable=\"SC_DATA\" outfile=expCube.fits dcostheta=0.025 binsz=1.0 phibins=0 tmin=0.0 tmax=0.0 file_version=\"1\" zmin=0.0 zmax=180.0 chatter=2 clobber=yes debug=no gui=no mode=\"ql\"'"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"expCube.pars()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"expCube['evfile'] = '3C279_mktime.fits'\n",
"expCube['scfile'] = 'SC00.fits'\n",
"expCube['outfile'] = '3C279_ltcube.fits'\n",
"expCube['dcostheta'] = 0.025\n",
"expCube['binsz'] = 1.0"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time -p /home/oamacias/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/bin/gtltcube evfile=\"3C279_mktime.fits\" evtable=\"EVENTS\" scfile=SC00.fits sctable=\"SC_DATA\" outfile=3C279_ltcube.fits dcostheta=0.025 binsz=1.0 phibins=0 tmin=0.0 tmax=0.0 file_version=\"1\" zmin=0.0 zmax=180.0 chatter=2 clobber=yes debug=no gui=no mode=\"ql\"\n",
"Working on file SC00.fits\n",
".....................!\n",
"real 1118.81\n",
"user 1118.58\n",
"sys 0.12\n"
]
}
],
"source": [
"expCube.run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This takes a while to run...\n",
"\n",
"Let's talk about what it's doing while we're waiting."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Livetime\n",
"* Sum up time spent in the field of view for each position in the celestial sky\n",
" * Inputs are the photon and spacecraft files\n",
" * Options are pixel size and step size for the instrument angles\n",
" * Output is a livetime ‘cube’\n",
" * Respects time-based selection cuts made with gtmktime (GTIs)\n",
"* **Livetime and Maximum Zenith Angle**\n",
" * gtltcube knowns about the field of view and the spacecraft pointing (via the spacecraft file) and can make exposure corrections related to this corrodinate systems.\n",
" * If you are doing an all-sky analysis or non-stantdard zenith cut, gtltcube can make a correction for the exposure loss from a zenith angle cut in gtselect.\n",
" * **note:** this assumes perfect reconstruction\n",
" * **If you're doing a basic source analysis and using the standard ROI cut you don't need to do this.**\n",
" \n",
"* Example: if you use *zmax = 100* in *gtselect* and set *ROIcut = no* in *gtmktime* then you **must** use *zmax=100* in *gtltcube*."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"'Exposure' vs Time\n",
"=============================\n",
"\n",
"\n",
"* Instantaneous exposure for some source.\n",
"* Systematics may be present on short timescales or in some temporal analyses.\n",
"* See http://fermi.gsfc.nasa.gov/ssc/data/analysis/LAT_caveats_temporal.html"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"ltcube_hdu = pyfits.open('3C279_ltcube.fits')"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Filename: data/3C279_ltcube.fits\n",
"No. Name Type Cards Dimensions Format\n",
" 0 PRIMARY PrimaryHDU 27 () \n",
" 1 EXPOSURE BinTableHDU 59 49152R x 3C [40E, E, E] \n",
" 2 WEIGHTED_EXPOSURE BinTableHDU 59 49152R x 3C [40E, E, E] \n",
" 3 CTHETABOUNDS BinTableHDU 33 40R x 2C [E, E] \n",
" 4 GTI BinTableHDU 46 3711R x 2C [D, D] \n",
"None\n"
]
}
],
"source": [
"print ltcube_hdu.info()"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
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iY2O1qv/Ro0eYN28ekpKSYGZmhubNm6Nv376oWbOmTu3MyMhAfHzBc6XWrVurzNO6dWts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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff34b5bb2d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,8))\n",
"label_txt = \"RA,DEC = ({} {})\".format(ltcube_hdu[1].data.field('ra')[0],\n",
" ltcube_hdu[1].data.field('dec')[0])\n",
"\n",
"plt.step(ltcube_hdu[3].data.field('CTHETA_MIN'),\n",
" ltcube_hdu[1].data.field('cosbins')[0], label=label_txt)\n",
"\n",
"\n",
"label_txt = \"RA,DEC = ({} {})\".format(ltcube_hdu[1].data.field('ra')[20],\n",
" ltcube_hdu[1].data.field('dec')[20])\n",
"plt.step(ltcube_hdu[3].data.field('CTHETA_MIN'),\n",
" ltcube_hdu[1].data.field('cosbins')[20], label=label_txt)\n",
"plt.xlabel('Cos(Theta)')\n",
"plt.ylabel('Live Time [s/bin]')\n",
"plt.legend()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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hkrjW7cG8rZ0pEZqU34F0RGz9JLmypNyVUiEwNtV9jBeKsEkjscwPS7x8dFce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\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yn/rbQgBpV2vj0kw9y7EuM4r/1W7W1vW62q9Yr611WluJRfKiAtV1gQiKxTLsPQgrOMUU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\n9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OXzvDsGlrfs+jUwLPcPg5UVy87ngAzJrFqWEEDdvN2qY5ZR5zOxli3Qnpfs7hjY8526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\nArGIiIiIiIj0JAViERERERER6Un/D1+S06fdKq1LAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff345037cd0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"cosbin = 15\n",
"plt.figure(figsize=(16,8))\n",
"plt.tripcolor(np.array(ltcube_hdu[1].data.field('ra')),\n",
" np.array(ltcube_hdu[1].data.field('dec')),\n",
" np.array(ltcube_hdu[1].data.field('cosbins'))[:,cosbin])\n",
"plt.xlabel('ra [deg]')\n",
"plt.ylabel('dec [deg]')\n",
"plt.title('Live Time')\n",
"label = \"Cos(Theta) = {}\".format(np.array(ltcube_hdu[3].data.field('CTHETA_MIN')[cosbin]))\n",
"plt.text(25,75,label,fontsize=20, color='white')\n",
"plt.colorbar()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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AoHe2nHqoqs4Z03u01toDx9QXAAAAHNN28+w+IElLUnt8j5ZE2AWAA2JldW3f5ttdWpjb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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff3490e86d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(16,8))\n",
"plt.step(ltcube_hdu[3].data.field('CTHETA_MIN'),\n",
" np.sum(ltcube_hdu[1].data.field('cosbins'), axis=0))\n",
"\n",
"plt.xlabel('Cos(Theta)')\n",
"plt.ylabel('Live Time [s]')\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Calculate the Exposure\n",
"\n",
"Let's start the exposure calculation going and then we'll talk about what goes into that calculation."
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"from gt_apps import gtexpcube2\n",
"gtexpcube2['infile'] = '3C279_ltcube.fits'\n",
"gtexpcube2['cmap'] = '3C279_ccube.fits'\n",
"gtexpcube2['outfile'] = '3C279_expcube.fits'\n",
"gtexpcube2['nxpix'] = 360\n",
"gtexpcube2['nypix'] = 180\n",
"gtexpcube2['binsz'] = 1.0\n",
"gtexpcube2['coordsys'] = 'CEL'\n",
"gtexpcube2['xref'] = 194.047\n",
"gtexpcube2['yref'] = -5.78931\n",
"gtexpcube2['axisrot'] = 0.0\n",
"gtexpcube2['proj'] = 'CAR'\n",
"gtexpcube2['ebinalg'] = 'LOG'\n",
"gtexpcube2['emin'] = 100\n",
"gtexpcube2['emax'] = 100000\n",
"gtexpcube2['enumbins'] = 20"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"time -p /usr/local/fermisoft/v10r0p5-fssc-20150518A/x86_64-unknown-linux-gnu-libc2.17/bin/gtexpcube2 infile=data/3C279_ltcube.fits cmap=data/3C279_ccube.fits outfile=data/3C279_expcube.fits irfs=\"CALDB\" evtype=\"INDEF\" nxpix=360 nypix=180 binsz=1.0 coordsys=\"CEL\" xref=194.047 yref=-5.78931 axisrot=0.0 proj=\"CAR\" ebinalg=\"LOG\" emin=100.0 emax=100000.0 enumbins=20 ebinfile=\"NONE\" bincalc=\"EDGE\" ignorephi=no thmax=180.0 thmin=0.0 table=\"EXPOSURE\" chatter=2 clobber=yes debug=no mode=\"ql\"\n",
"Computing binned exposure map....................!\n",
"real 12.61\n",
"user 11.46\n",
"sys 0.51\n"
]
}
],
"source": [
"gtexpcube2.run()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Instrument Response Functions\n",
"================================\n",
"* Effective Area - how the photon collecting area depends on energy and angle\n",
"* Point Spread Function (PSF) - how the reconstructed photon angles from a point source are distributed around the true direction in the sky\n",
"* Energy Dispersion - how reconstructed photon energy is distributed around the true energy - **often neglected in analysis but important for Pass 8 below ~100 MeV**\n",
"* IRF set must match event selection used in analysis, eg. “P8R2_SOURCE_V6” "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Effective Area (EA)\n",
"=============================\n",
"\n",
"\n",
"* Collecting area for events with TRUE energy E, and TRUE angles in spacecraft(θ,φ) \n",
"\n",
"More info: http://fermi.gsfc.nasa.gov/ssc/data/analysis/documentation/Cicerone/Cicerone_LAT_IRFs/index.html\n",
"\n",
"or: http://www.slac.stanford.edu/exp/glast/groups/canda/lat_Performance.htm \n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Point Spread Function\n",
"================================\n",
"\n",
"\n",
"* Point-spread function for events with TRUE energy E, and TRUE angles in spacecraft (θ,φ) \n",
"\n",
"More info: http://fermi.gsfc.nasa.gov/ssc/data/analysis/documentation/Cicerone/Cicerone_LAT_IRFs/index.html\n",
"\n",
"or: http://www.slac.stanford.edu/exp/glast/groups/canda/lat_Performance.htm "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Energy Dispersion\n",
"================================\n",
"\n",
"\n",
"* Energy dispersion for events with TRUE energy E, and TRUE angles in spacecraft (θ,φ)\n",
"\n",
"More info: http://fermi.gsfc.nasa.gov/ssc/data/analysis/documentation/Cicerone/Cicerone_LAT_IRFs/index.html\n",
"\n",
"or: http://www.slac.stanford.edu/exp/glast/groups/canda/lat_Performance.htm "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Observational Response\n",
"===============================\n",
"![Observational Response](images/obs_resp.png)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Observational Response (what we've calculated so far)\n",
"==============================\n",
"\n",
"Instantaneous Response = EA x PSF x ED\n",
"\n",
"$$R_t(E, \\hat{p},t) = A(E, \\hat{p},t)\n",
"\\times P(\\hat{p},E,t) \n",
"\\times D(E,\\hat{p},t)$$\n",
"\n",
"Total Response\n",
"\n",
"$$R(E, \\vec{p}) = \\int dt R_t(E, \\vec{p},t)$$\n",
"\n",
"Total 'Exposure' in units of cm<sup>2</sup>s\n",
"\n",
"$$\\int_0^\\infty dE \\int _{4\\pi} d\\hat{p}\\ R(E, \\hat{p})\n",
"= \\int_{t_0}^{t_1} dt A(E, \\hat{p},t) = X(E,\\hat{p})$$\n",
"\n",
"Define average PSF and ED\n",
"\n",
"$$R(E,\\hat{p}, E, \\hat{p}) = X(E,\\hat{p}) \\bar{P}(\\hat{p},E) \\bar{D}(E,\\hat{p})$$"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"expcube_hdu = pyfits.open('3C279_expcube.fits')"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Filename: data/3C279_expcube.fits\n",
"No. Name Type Cards Dimensions Format\n",
" 0 PRIMARY PrimaryHDU 61 (360, 180, 21) float32 \n",
" 1 ENERGIES BinTableHDU 13 21R x 1C [1D] \n",
" 2 GTI BinTableHDU 18 3711R x 2C [D, D] \n"
]
}
],
"source": [
"expcube_hdu.info()"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
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LLj3GesxeiB0iP2fnbdhS6xy+iOttmLY2hvMRtc9qDq+0RCi0dwcsBiy2jLSB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\nDp7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zTpSVfWRkzaaipDIOqbNUMFR1TFTKd5XaYJ3vqrXXtcxYklXKWefvb/P8VFUuJiLu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\npZ5VSj2qlPqJUmrPRLsghkopdaopW62Uen6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"text/plain": [
"<matplotlib.figure.Figure at 0x7ff3491bc5d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, ax = plt.subplots(figsize=(16, 7))\n",
"for i, expcube in enumerate(expcube_hdu[0].data):\n",
" time.sleep(0.2)\n",
" plt.imshow(expcube,\n",
" cmap='magma',origin='lower',\n",
" vmin=expcube_hdu[0].data.min(), \n",
" vmax=expcube_hdu[0].data.max())\n",
" plt.xlabel('pixels')\n",
" plt.ylabel('pixels')\n",
" label = \"{:.2f} MeV\".format(expcube_hdu[1].data['Energy'][i])\n",
" plt.text(5,5,label,fontsize=20, color='white')\n",
" \n",
" clear_output(wait=True)\n",
" display(f)\n",
" ax.cla()\n",
" \n",
"plt.close()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Model\n",
"====================\n",
"### We Have:\n",
"* Observational response (“exposure”)\n",
" * Observational profile\n",
" * Instrument response functions (IRFs)\n",
" \n",
" \n",
"### We Need\n",
"* Sky model\n",
" * Spatial distribution of sources in ROI (point-like and extended sources)\n",
" * Spectral model for each source\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Sky Model\n",
"===================\n",
"* Spatial and spectral model\n",
"* Point sources\t(coordinates: RA & Dec)\n",
"* Extended sources\t(map of emission)\n",
"* Diffuse sources\t(full sky maps)\n",
"* Spectral types\t(e.g. power law - index, flux)\n",
"* No time dependence!\n",
"* All these encoded in an XML input file\n",
" * ST and LAT catalogs can help with this task "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Model for our Sample ROI\n",
"=============================\n",
"* Sources from a catalog in and near the ROI\n",
" * Best-fit locations and spectral types (over some time period)\n",
"* Diffuse isotropic\n",
" * Extragalactic diffuse gamma rays\n",
" * Local cosmic ray background\n",
"* Galactic diffuse\n",
" * Cosmic ray interactions\n",
"* Local sources of gamma rays: Earth limb, also the Sun and Moon "
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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NjO3BccPju/VM0+u1xg9y3Cm1j6+mhVuhV6JCCCGEEGmOAjYhhBBCiDRHAZsQQgghRJqj\nHLaWtM7BMHK32DtoltcC8JwsX2HkVLQz3tsTYpU85yV8fh6Ts/frVtlUctCihYXhsiRfJtqJ50jE\nSnfS7QxPE6etpGFyvUZeSGwnye9huU/WuUgukK8xchGzjTwnWpjk9xhFWT4TzWszroH2D+NcrC9E\njRwS1JLzsdwnI0/LzO+jFWM5e0buFCHSPo//guWrVIXbwHqeWHvRXDXwHCOWLwfw/BpfWcnLkrGG\n5gdaeZ6s3xr5gWDPWQq5pizfzsoPYrm9Vn4xTQm38t1IrpiZS8iOwXLrrBxY9j2QSm5uJn9GHMK5\nWhn770fL+jIyBrL8U6Pf0vw+kqsGGDnDVj42G8dJLmJsawk/V174mY50DH9nAUYuofUdSeoAIzcO\npCi5NRTNsAkhhBBCpDkK2IQQQggh0hwFbEIIIYQQaY4CNiGEEEKINEcBmxBCCCFEmiOVaEtaqX4s\n5SdVdPHFpbmqxFBeWatOM5gKLxWnA8eUjIbyM5WV5Nkx6CryhnqNHtNQbkWYmspYbZ3dB0tpy+47\nU3OaK1kzFWAKCmCXxVWAySqDAWNFbqJqs1RP9PwVhuKQqBbNvsiUm0zRarkqEGUdVQaC35+IcdyG\nnWXhstbK/7vC15aSkwVTaFqOJqxsKs4jKThOUIznie1vjR/sei3FcUNpWJnHnj2qeAbvd5Gu3PHH\nk+fMr93Ay7L2MpXMyTlGmKsCsGfSUODGKsNfPJHiIlrWV5BjWNdAxuwYc3shzw3AxxWqpAS4rZu1\nukE1qQNTrxrqe+pIUGV8ebPzG+NaSq4ITHGcJJphE0IIIYRIcxSwCSGEEEKkOQrYhBBCCCHSHAVs\nQgghhBBpjkQHcbyPwdcmJjRaFjA0wTAVCyijDikltpPtNBnZsoth5+/QgW5nyeapWOkwmGUXYAgU\neF5s6H61CbM0MtqG2omxpGNLjMG2G8nfDFNckMK9pHY8LIneSkpn/ctMUCaJvEZiPEvEdaRaVhI+\nIxXxhzfumdUf6XFZkjNLIDcskSLduoS2NaxZl/T5zbGGCX6MxHY6hrFEfuMa6DGt/sHKGgIFNq5Q\nEU8RT6xHHUlKL+NjEq2DJTQhRIoMSyNi60ST3S27uo7ha/OVVbwsE58Z9n6mjRSDPA9MNGAm0BNr\nKqte6B5+HrB1Oy1Kn3XS7yL5xncZqUOksICfix7A+M5gNnbW90MKAqXWaIZNCCGEECLNUcAmhBBC\nCJHmKGATQgghhEhzFLAJIYQQQqQ5CtiEEEIIIdIcqUTjOBeBa6UktFSITE0ZKw8rgwBLOWWoT4nC\nyWVyFU6yKi/rGqga07KWMSw2koWpbU1LJGLb5QwrL4qlemT2R0w5CiCWpLVUKkpIS/VIlXmGisiq\nL4W0A23zHK6mAu3PhoKOqVcNhRS1liIKq1gdf57o82CoE6n6KwWFFrOrAgz1OFFTmurV7TvCx7Rs\nilJQaaakVCV2XrS+lpqbqAMtKy+q8jSUeUzFx8YqCzouWkpZal2WvPKbqUEBQ6FI7JdArJ6CioX1\niZYtXJTcB1MNypSbhiLdkf7h2DWQugLg43geUVICiK3bFC5r3HOqSiX3xheF1bMA4KrDNlQxQ4HL\nzmVcLXwVUWjnGv3OsoBMAs2wCSGEEEKkOQrYhBBCCCHSHAVsQgghhBBpjgI2IYQQQog0R6KDRrwP\nJWpbVivUAsZKCE/BPoklWtKkdIAnA7P6WvYYJCnUSqJHA0kUJ0mpALfXYucyLT6ywonLvpYnTjty\nLis5N1IQTgT2VllyXFYvdn7AsJyxbLDYMYxEb2b7xcQQgGEtRa7XZXAxBLVfSkX0YFxDJC83tK2h\nhCThG2IbU6xCiO0kFkHW80T6I+3LSF5UYol1rP5Mz8Xs4og4CeBJ3bEdpbwOSVr8WPeRijcsayrS\nR9m9sWC2P54kj1vnMklBLMPKmvZHpM2Z3ZQ1JrD+Ee3SideLCAF8O6PfVoXbzOWG7aYA8O+HXDIG\nGqIFz55Ty4qLjAneEmQUEbFKabgveSJksGCWW4Ax1hiiJRYrMCECYAhuktQhaIZNCCGEECLNUcAm\nhBBCCJHmKGATQgghhEhzFLAJIYQQQqQ5CtiEEEIIIdIcqUTjeISVU5ZKjCmsLPskagFlWNZQyytD\nyeiYypLZgRiqOqYIZdZYABDtVBwuayhgYkQJRK18DGLEDshZ9jhMuWmoAKli0FLxEcUfs3Cx2paq\n2gy1MFMcszZMFVY3z0V8xgGSVxHTcxnXGyNWSdQmyVBSWsel9WKqa9JnAMM6zLJaMmzGQuUsCxpL\nicggakjr/PSohhqbWpcx+zXLyotcQyqqaXNcqg/Xiz67xv4xZn1mKdqLwspNU31K+pKlwGXtwI5r\njaF0f0tlTsYaZ6n92dholSXqU1fDViEgdlUWTOEJAEy9yiyoAICNC8b9pbB2NL73vGdWj4bVW1Fh\nuGwl/+5m9mvJohk2IYQQQog0RwGbEEIIIUSao4BNCCGEECLNUcAmhBBCCJHmSHTQiPfw9YkJhS7K\nk2gjJNHTFAcwG5uasMUQADSUEksTK5E3SeugmJFEGyX2GLEKnthKkySNxGlaX5K8HSvn1jSRXGJT\nYiTGUnGAIehgyaamzRFLzmXWRcUd6e71GzaGyxr3kSa2G/eMtY0FEy4kbRsG3sctKy92DLY/YNyz\nFGydKFZiPbPXSVIwAPBEc8CwrGNJ/Mb+/JjGNbBzWZZGzI7MOC4T51CRhCG8YOOdafvFzm9YSLlk\n7aIswQ8ZF01ru1TEH+xeWjZFTGRBbMNYojrA62sm4dez/uH5cfPJM2mIcBoKw2NNpDZ8rkhZFd0/\nlh++v5FdhpCI1YtdFwBsIzZ2ucmLDpjllSniIXaGprCGCAxMm0RZUwkhhBBCfHFRwCaEEEIIkeYo\nYBNCCCGESHMUsAkhhBBCpDkK2IQQQggh0hypROM450IqOkupxhSOqSjCUrG8slR81PKKqCldJlcX\nNRALqEj79rxezO7FUgESpRnbn6lULUw7okzSjg1c8UOtZYjdFMDVo9QuyrCmiRaG1V8NO8LqJoD/\nxWTdM2onVm8o4Jidl9GX9gWmGpOpDokS0lRNsnNZZZNUUgNArCqsdtvb1rJsnahlVioKS+MaUlHA\nRvLDCriGbSXhgsY1MBs9po60MG27qCqVqF/L+f7WuMQrkbxy3HVgSkbD1iknJ6lzWVBFqKHmZFZN\n3rJqIs9JfSc+5kfLwveyrlNYORrN4raB0QqiBrcU6aXh71PfgSviHVFuMttAq71Z25o2aURRan7P\nE8Wx1RdlTSWEEEII8QVGAZsQQgghRJqjgE0IIYQQIs1RwCaEEEIIkeZIdNBINAKXZMIqS/q17JMi\n7Zg4gCeKR0iyaErJ2/VJ+lsAiBBrmFSSli1oojVJyLQS/q0keoYj7cjsRABuq+TruJjBZYYTXl1G\nuL0tMQTrCxGWiAxQIYAz7IBSslVi99dK9GbnYgIWy8qL7W9aLSV3DVQ0ASBGroH15aAwSVY3nlNL\n6LEvYOOMrzLuDWsHZlcFPn5Yz1msjFjDkefUEl6l0pfYMZzxPLB6OZJw7w1bKSamihbk07LMAsp6\npl0KIhhHT0b6orE/S3aPFBfxsrnhdnSGFVd1v86hbbUFPASIFoSfh8ru4bJ5G/lzmhMLX52rNay8\niDWVq+L2fExgwIQE3rD3Y/2OtTcAuIwkbdIAeCZEJMIcAHBZ5P4k+bWnGTYhhBBCiDRHAZsQQggh\nRJqjgE0IIYQQIs1RwCaEEEIIkeZIdBDH1zegoWR7wjYrWZWtEm6uXsxWNTcSeRvIMaxkdZaAzsQQ\nLGEXAGIsCd9KZiZJ3cztAeCrO7PEZ0tcwNrcdCRg7WitPk6S+6OdimnR2M7wtbGEbpbgDACO5eFG\n+KPGk/t5Ii/DdKdgyfks2d1IpqaJvKTPAKDJ/aZAgQkqiHjEEljQtiHnB7gAJtq1Cy0ba/XsA7Bd\nRohTCXOyiOTy1dpZO1qCJzquWInPJGHeXJmdtGOEJfcbCezJOlYElSCiIyZ6gHENpF7seQQA38DH\nVgrpN6ZTAmtzq4+zZ8q4Z4xIXrjfeGMcdyRh3nI6iNSG6xWt5s/OjoHh81UXEyFBjPevnK3hbbEc\nfg3MFQHekGQw8QYTDVjtzY5rfWcwN6FKYwxMxUUmhfE9dJo93lMIIYQQQnwqKGATQgghhEhzFLAJ\nIYQQQqQ5CtiEEEIIIdIcBWxCCCHE54zc9tk49vRh6DOgKyIR6q8gvmBIJRrHOYdIK/UXU1ICQITY\n2FjKT6byspRIEcPKguGriRUGqYOpAiTKT2eovKhdi6VUY+pVqqbiiiGmvGS2UMEhwvchRtR6Jimo\nddh1RYs70rJU2WcoGZM9V6plqX0aK2vYYLFrYH0GAFd5Gsor+rXC7Ln4meDriSLVePYciJpzyzZe\nNpMMhZb6lClw2bNrWNClpCgj0LpaZXP5PaN9lKnM8/hYxax/mHoWAHxNuN+ZFmFMmUfGMMsaKyUl\ntNWfCaw/O2+oiNnqAi7co5nNEtCGrVsrevQpxsQ/X4LqXbXIzIxi/eptWPTBaiyavxbLFq3H2pXb\nEGtxrPrc8Hi3c3/+/NcR8Xm0JnwNkTpe1/oO4b6UWVLFL6SefO9YdlGWxV/omIYNFrGAY/0T4DaH\nlkqU9mejrPWcJIMCNiGEEOJzxsdLNqK2ug65eUEA0HdAN/Qd0A3HnTEMAOJBXAkWzV2NRXPWYMH2\nnViztgQNxOdTfD5QwCaEEEJ8zojFPOa//zGOPHZgwvbGAA4A+g7oir4DuuK4CUMBFwRxk6YuxK1/\nfuXTrq74BFAOmxBCCPE5o2OXDtixrRy7qnafQpGbl43c3GzU18cw7a2PPoXaiX2BZtiEEEKINCc7\nJxODR+yPo44biJEnHIzC4vaor4+hXe7uc6JiDTFU7qrFjT98Eh8t2/Qp1FbsCxSwtYGVOM0Sbq0k\nWLq/keTILFgs4YMjCfepJKsziw/TloUk51vJn0mLLIz2cjnhbFfL5oidy7TXYhZOVlI4rVfyiaI0\nmdk4F7s2M+mY3DMTcs+oeMQSByQrWgC3GWN2ZmYdCJYAh9k6me1F2ty0zErF8oqcz0VIv7PEBeze\nWM85EwJYyf3kmTKPy5L7mU2aZdtDnjPr2aP2eEbbsmeHjZeRwgKjXuTeZBtfc+TaTCsuBrFvA4DY\n9lJSB1LW6redAzGTcw4HDOyO4WMOxDHHHogDBvdGbXUd2rXPQSTej7OSGJbq6xqwc3sl/veah7Bx\n/Y4EKU5+Ju+jlbXhPpq9M5z7lllu3PN6YmNVzds21iH8XRItq6BlGb4iXNZZln2VYeGDKcwpCQvY\nLLFMtGvn8P7buQDOEesxEGc8hgI2IYQQIg3o2K0Ah59xOI4+aRCGjewHOIeMjCiy4kFnZrahmDeo\nqanDprXbMfHSe7GDKKzF5wsFbEIIIcRnQHa7LAweNQBHnTIEI08ZgsLO+ahviCUIB3ZHQ0MMDQ0x\nZGUlfp1X76rFsgXr8JP/eQjVVbVAfvLLmIj0RAGbEEII8SngnMMBg3ph+AmHYPRph2H/Q3qhtqYW\n7fJavOZM4jhV5buQkZmBbVvL8d5bH+H0Lx2R8Pvqqlq8N20xfj/xSTRoZu0LgwI2IYQQYh9R3L0Q\nw08eilEThmLY6IGAAzIyo8iKv97MtHLsWlBTXYtYfQwN9Q2Y/dpCTH9xNuZMW4jSwiDfbcjwvuh3\nUHcAwczai0/MwN9u/c++uyjxmaCATQghhPiEyG6XhUOPPhBHjR+KkacOC15z1jcgt32Sq/QjeM1Z\nXVWLrOwMLFu4Hm8/NR2zpn6I1YvWJxaMB2xvv7YY+/Xrgob6GB784yt4/tHpn+QliTRBAVscj7D6\niykxAVCFFFNdAaDWP6aak6kxreMSqHrNUsVlhnMkYoZVCrPCsSygmLovVh620bKsrRzLqbXagKgm\nnWU3Re5ZzFDr0t13hhVO0cLCpM9lwe4Zs0QBgNhO0o6WcpTUgap1rbalCjrDLoZYh1FlIMAVkkwx\nbPTbSB5REVpqO6bStNSJTK1rCAZZWaY0o/cLQISpwXcZinR2H40+zlTt0U7FtGyMqeWQvMUYVcsZ\nfZGpWq3r4vkoAAAgAElEQVR7FjGUlyFMBT+xxjMU3kwRavZbMl75uH2Scw4HHNobI04cjGPOHI4D\nBvUmrzl3LxZoes25cQdmvDwH70/+EAtmLEVdTT0icburSMeixDrE12B7f8oCXHjlWPx+4pOY/vI8\nau3myKvRvBV8HM9dF65vXVE44IzUWCpRcn89d1iIloSfE5/PVZ6OfUcxxTNZyQEAIvlkbLXGa2ZH\nZozN7NosRalVt2RQwCaEEEKkQHH3Qhw25iAcffphGDb24EDNuaevORtimP36Qkx/cQ7mTFuE0q1h\nP+XdsXzRBpw/6peoqqwxfXjF5x8FbEIIIUQbUDVnXT1yOySvvGxoiKG6siZ4zTlvDd5+fhZmTV2A\n1YvX737nJKiqTGEdTvG5RAGbEEII0QLnHA4Y3AvDTxyM0WcM52rOnCRfc2ZloGRjKd59ZR5mTv4Q\nC95dhrqaevN1sxAWCtiEEEL811PcvQjDxw3BqNMOw7AxgaF6RlbGHr/mnDNtMaa/PAdz3liM0q08\nn1GIVFDA1gZWwr6VTEiPQRJ5zeOS5GvLLool1zK7Fl/JrWmocIKICwCebG79dUgFBgTzXClYfFF7\nHSOZOUaOa4kGaB1IAntKdTWslsBszmqM5H6SPG3adhFLolgVSTQ3hDU0sd4QKMRYEq0zbM5AhCLU\njoi3AWtzq16sj5rXQJKZTcEO6wukvkwgYUHtzAA4lhBNtl1581cw4LD90Kt/d+R36oCaXbXYsmYb\npr84Gy/cMwXl2xPte1o+J4efOBjjLhmLQ0YdiMIu+XDOoWTDDiyauRzTnv0As6YuCJ3P+8T2ysnN\nxtHnjsRR44ei/7D90LlnMWKxGNYt24Rpz87CC/e9hvq65npHi4tw0Y0TcPGNE9pslw0rt+CKkT9v\n+n/fg3vg7KuOR/9De6NTjyLkdsjBzm3lWLdsE158YBrefn5Wm8dricvORtfexTjv+nHNrzn3RM1Z\nUY2snEwsm70Sbz07E7NfX4hVC9clnouM4874+mWJ7bH2xM4IgFu3Mbwxjz97roqIVQwhAMuDi1aG\n98/YErYHBADUE5FXIR8DHRPLVfHEfCoUIaKWWAn3emLPqWWzSAVZhlgutoPYkVljsyFGSgYFbEII\n8TnnnOtPwfI5q/DB1A9RurUMOXnZOPjI/rj0x+diwhXH4dvH/gJb1yd+ibVrn4OJD1yDY846AjW7\najH3jUV454VZqK9rQLe+nXHkuKE46YJj8PRfJ+NvP3u6zfMPHj0QNz1wDcpKKjDvrcWY/u/ZaF+U\nh5ETDsPVv/wyjjn9MNx0zh9RV9McRM+fvgyP4eWE4zR+IY88dSgGDOuLWVM+TPj9gCF9MGr8UCyZ\ntQKLZy5HZdkuFHUtwFGnDMVPHrkWrz4xHbde87ek223wqAEYf8noplm05NSc1cjIiqJk/XbMePED\nvPfyHCx45yPU1QR1T0XZL0QqqGcJIcTnnHO6X4PaivAs4eW//AoumHgWzv/eGfjrtx9u2u6cw4+f\n+CaOGDcUc19fiFsuvws7tiXOwmVmZeC0/zkZvfp33e35t28uxS1X3IO3np2ZMJN23w//gVtf+SEG\nHdUfZ1x5PP5115Sm3304Yxk+nLEs4TixyipEIg7jLxkDAHj5oTcSfj/t2VmY8uS7QF3iTEluhxz8\nafIPcdIFR+OFe6fio9krd1tnAJj71pJgTac2qK2uQ0N9Q/Ca880lmP7yXMx5czG2L1vX9o5CfMIo\nYBNCiM85jbM7rXnzmZm4YOJZ6NmvW8L2488fhSPGDcX65Zvw03NvQ3VVTShNoa62Hs/f+xoys3b/\nNfHxvNVYuTj8em5XRTWeuWsKbrr36xhyzIEJAZvFEeOGoHOvjlg0czlWLlyX8MqqrpanYlSVV+OD\n1xZiv4N6oEe/rkkHbCUbS1G6tQxdejevV9es5szE8g/X4O2X5uKD1xZg1eINSR1TiH2FAjYhhPiC\nctSEwwAAKxesSdg+4coTAABP/+klVFe1vRyEFSQlS0N8xq3BWuC4FRO+diwA4D8PvZn0ObLbZTUJ\nBVYtSm3m691J83HqJaMBANs27cS7k+Zj5tSFWDhzRdMrXCk6RTqggE0IIb4gfOk7E9AuLwd5BbkY\ncPj+OHT0QHw8fw2evO3FpjKRaAQDj+oPAJjz+sJ9XqdxFx0DAPhg6u7P1alHEY44+VBUlFbhjX/N\nNMt1378LTvzKSESiDoWd83HkyUPQqUcR/nHbi1i5MLWA7ek7JmHRe8sx960l2FmmtcxE+qKALY5z\nLvRKwLQpYUoVYk0DpKgIYfYnxl+l9C8+ptBk9jwwlDVEWWjVK5LLVUsMamlkWAQxKx6qlANXXnmj\nvZlllbesqUibMZUps2QCbCucZDHViUwVa6gpI0VFoW2x0rCiy1Lr0vtDbNYAIMLay1AL04TsJNs7\n2J/UwaoXuQ+m/Rq7Z0a/oypxti0F1bXL4mpdWtZIao/ktcOXvnM6OnZtVovPfGUObr38LpS2UPPl\nd85vSrLftrG0ub+xZ8SYWaL1JfufedUJOOKkwVg+fw0mPfZWk31VrIz3j1OuPwnRjChee2oGanbF\nr53UoUfvjrj4+2c2/b+2pg73/fAfePr2l0i9DGuq+HE3r9qCzau2BButsYZ8F0S78dw+T2y/fBUZ\nP8gYDABg9lpWv20ftnDy7fhx2TGsMdARC6cM8trd5yavqI1UhNsFAL1es9+xvs/s28iKCYDxfZrS\n7Klhv0b6h2VB6ev4mJ0MCtiEEOILwoUH3wgAKOycj0OO7IfLf3wO7vngd/jxmb/D8jnJ5XV9Uhxz\nxuG45pYLsH1TKX512V1oIEs9tMS5ZrHBSw9Oa7PsrFc/xCntL0M0I4ouvYtxwvmj8LWffwmHjj4I\nv7zgzwnCByG+KBh/ygshhPi8Urq1DNNfmoObxv8KHYo7YOJD1zX9rmx7BWrjsyWdeoRnYj8JRp12\nGH7wwDUo3VqOiWfeik2rt+12nyPGDUGX3sVYNHM5Vi1Kzq6pob4BG1duwd9veR6P/OpfGDnhMJx9\n7Sl7W30h0hIFbEII8QVly5ptWLNoHfYf3Af5xcFrrlhDDEtmrgAADDt+0Cd+zjFnj8CPH/4GSreU\n4bsTbsG65ZuT2m/C5ccBAF5+8I22CxrMmjwfADBk7MA92l+IdEcBmxBCfIEpjs+ixVrk77z8wOsA\ngC9961Rkt+P5c40ks6xHI8d/eSR+cP//oGRjKb572u+w4eMtSe3XsVshjhw/dLdig7ZovM6G+uTU\nqEJ83lAOWyPehxKtmQ0GwJOOrWT3xiTbllgJxnR3y/7IsMhI/sBkUGPbwBM4LTFFsgn3qcjkqWgB\nPNHTsgOiliaGUIQmCJNkd8s2jB7TsAiLkORelrwNcLsVq71NS7LQQS3xB+m31iLwpL6m1RIRVDCx\niyXooH20jj+nsWpyDVZ7sURvQzSQrEWYNX7QxOkURDit+13Pfl2xY0sZKksT29E5hytuuRhFXQux\ncMYyVNXEEInfl2lPzcBJFx6DEScPwc+f+g5uveoebN+UKErJyIxi/GVj0WdgT9z57YcSj03u70nn\nj8T/3v11bFmzDRMn3IIta0uCa2D3p5XQZPxlYxHNiOLVx99CTWniAr4ur7nsgGH7Ydnc1aExuKBT\nB1zxiy8DAGa+vjhRkPQJLMlBk9WZJVsKuPywYAAAtXViVlFBWWK/Vm5cL+l3TLgFAL6cPJPZ4e8t\nSxAG1l6GDZYlrKOwsdGFW8cb94aO7Za4kLWXIRSpXx9eo88S5kU7dw5vTO7vGgVsQgjxeeaIkw/F\n5T85FwvfXYZNq7ehbHsFijrn49DRB6HH/l1QsqkUt9/wQMI+3nv86qI7MPH+a3D0GcPx0MI/Yu60\nhVizZANiDTF03a8zhh17CAq75OOft/17t3UYOmYg/vfuryMajWDem4sxLi4eiJ8MAFBZWoVn75wU\n2tc5h1MuHQsAePlvr7d5nm//+TLkd2yPJTOXY+vaEjQ0xNBtv844YvxQ5ORm452X52Ly4+/str5C\nfB5RwCaEEJ9j5ryxCD3274JBR/VHvyF90L4gF9WVNVi3YjMefeJZPH/3FJTvCM+Y7Kqoxi/Ovz0w\nf794DA4+agCGHTcIzgUOAHNeX4Apj76JWZPn7bYOXXoXIxqfZRx/2bG0zKbVW2nANvykQ9Ftv85Y\n9N5yrFq4ts3zPPPXyRh12jD0H9YXI04egoysDJRtK8fcaYsw9e9v460p+35dOSE+K5w3pin/2yiI\nFPuRORMSNxprmNF1mCz29pWo8TqQvRKl63dZ67CRaWBrHba9fSVqvtYl0HXYjFeEKb2S3MtXouye\np3R+Y72jffZKlFwvuwZrzTf6SnQv15ezzkf7nfXKnz1PxrpkqVxDKq9E6SvgFF6JWq8/aVHSb6IF\n+bQsfbVkvbJKsg7meljslXcq50phbGVpDtZ6epEC8jwZ15BSe7F7Tl4RBscIH5c9/5HOxaFtAOgr\nUbNeqcCekww+1njSvvR6rTUjU3klyp4TIz2HvpL8nL0SdXnh741JW+7+wHs/glekxTF3V0AIIYQQ\nQny26JXoJ0Qqf7lbs2Z0JsuYnYpkh28d+2s8YiR/00Rvo2wDm9mxksKTSJIG2kjIZrNL1orz7BjG\n7BRrc6tt2QwGnVU1/rpkq4SDJPECAMhfrWyldMDoY9bskuVa0bqc8Yc7u2cpzcDu2MEPzGaX2Wyx\nlfDPVhQ3kpYdSP8wBAq0j1ozw8wRgM3gGn+502fPmHWPkL/oUxFDpTSDStrcfBvA2tFwnKCzZsZY\nw2bjUklKT2kGJcnzm9tTcSShQrUyujtzL4DlpLO1JLQtksdndpgrii/ks3wRNstHZsh8FZ/Jcob4\ni0JdICznD/KckXOxfgCk+HaMvaUwjhslzjKmsG4vRDCaYRNCCCGESHMUsAkhhBBCpDkK2IQQQggh\n0hwFbEIIIYQQaY4CNiGEEEKINCetVKLOuV4Avg9gHIA+CBw51gKYCuD33vuPjf0uBPANAEMARAEs\nAfAggLu9NxZ0CR8krHIyFGVUTWUohmL1RNViKCyZss9cc4mpZZh6zVDF0DXEjLWvWB2sdZCYmopb\nDxkqQKKGspQ5DKbKtc7H1nyzYGtBWUpMtt11IMpRwFhzKQVVnFUHtp5dCvZaTOFkKqHLw2vyWYpj\nhrXOHj1XKm1DrsG65y6FNduS7UuWqjYlWzljvbJkse4Du2dMSW1ajDG1rrXuHBmCLQUd7XdJHhMw\n1la0VHnsGbGul41LxtqK7HzsOTOVkGwNMUs5zlTmKagQ3bqN/BdkrTDz/hLoGJiTwwvT5ymF55ys\nCcrWOgOACFsvkahnrXqhjpdlz7ppk5jCuqShY+7xnp8wzrnDAHwI4HoAuQAmAXgFQDsA/wNgnnPu\naLLfnQD+DmAEgLcATAFwIIC/Anjaub013RRCCCGE+GxJp2DmTgCFAO4DcID3/mzv/dkA9gfwAID2\nAO5uuYNz7jwA1wLYBGCI9/507/05AAYAWAzgHAA3fHqXIIQQQgjxyZMWAZtzLgfAqPh/f+a9b5p7\njf/7x/H/DnHOtVwV8Afxn9/33i9rsc9mBK9IAeAmzbIJIYQQ4vNMugQyDQCSefFeCWAX0JTvNhxA\nLYB/ti7ovX8DwHoA3QCM/MRqKoQQQgjxKZMWogPvfZ1zbiqAUwD8wjl3XeMsm3MuE8Av40Xv981u\n9YfFfy703ltZfO8D6BkvO323FUkyCT1WFU4AjcR4QqVp4cQgCcYNhn0Js6zhydA8eZMd16orTb42\ntRzEZogk8lriAF+6M6n9rWNYSfRc+MCvl7VNhNnFWBCLHsuMOEau10pWRSZJUjbakUHtlyxz71TM\nzFNIjKcJt3s5AZ6KOMCyWmJJypa9lif1ZfZcFtSazrBEos+vlXDPri1JzRUARCxhDCOF41KBkSXo\nYmVJ/7JESynZ/iQpkAIAx46bgtk966PW2JyKaMlXkrJGwj0VihjtFSsjifyszS3rM5bIbzzn7Bos\ni8Fkv6OpUAWAJyGPOQbSjYYdIWsHa1zbCyFRWgRsca5FIDK4CsCpzrlZ8e1HACgCcDuAiS3K7x//\nubqNY65pVVYIIYQQ4nNH2gRs3vuP4yrQRwCcCqBXi1/PAvBWy9w2BCIEIHhNalER/5nCn45CCCGE\nEOlFuuSwIR6sLQDQH8BZADrHP2cjmGF7xjn300/4nFc752Y552bVev7KSgghhBDisyYtAjbnXCGA\n5xDMhI333r/gvd8W/zwPYDwCscFPnHMD4rs1zp7xF/YBjbNw4RfyALz393rvR3jvR2Q5Y1E/IYQQ\nQojPmLQI2ACchmA27V3mZuC9Xw7gPQSvcI+Lb14V/7lfG8ft3aqsEEIIIcTnjnTJYesT/xmWzDVT\nGv/ZMf5zTvznIOdcO0MpekSrsibex0LqLUuJRNVUluUNUYRYdlHUGsZSmSZ5XMsyCwgfl1luWZgW\nLuR8DUz5aVlTkePGKipISU6MWO4AXCFpKcKYApep2kyrJqKmtO45wxmKQ6agtRRH9BpSgKpqLbUu\nUX5aasxkFaFmXyTqMasvebbReE6pvZbVR5kSmVkqMZskGCpRoiwGgEhOuL1MWzh6Lq7GZM9DQ2lp\naFu0sJAfmCnSU6iXBVXbMosxwxYqlWePjVVmvyP9JlLE24ZZ6XHLLcMSifQFaxx3+eHvopSUn4Y9\nVqSwrRdXLbBU6qwOhq2TI2OVOTYnqXS3+gdVflrKU8tKi1aMWV4ZbWMowpM6zR7v+cmyIf5zeHwZ\njwTi24bH/7sSALz3awHMBpAF4Mtkn2MRCBc2AZixD+oshBBCCPGpkC4B238AVCGYafuTc64p5I7/\n+y8IXm/uQOAx2shv4z9/55zr32KfLgDuiv/3lqQN4IUQQggh0pC0eCXqvd/inLsWwP0ArgNwjnNu\ndvzXwwF0B1AD4Arv/c4W+z3tnLsbgQ3Vh865VwHUATgRQD4CIcNfP70rEUIIIYT45EmXGTZ47x8G\ncCSARxHYTZ0c/+xCEMgd7r1/jux3LYCLELwePRaBW8JyANcDOM97n9zSyEIIIYQQaUpazLA14r2f\nDeDSPdjvcQCP7825nYuEEqVpcjDAEyqNZOpIAREoMNsOgCa2W/YlNPmaFGN2JAAAclwruZ8KH4y3\nzMy2xxFLJVMMwZL7DZsSmthuJHSmlKidrB1QrZEITJLN/U4uhmBJzrFNW3hZI+mfQhKXqZDAspZh\nibyGoCNaVEQOYPQP9kyxZ8e458yOLFbP+220ID9c1kiSplZc1rNH2jEVC6m9tuKynh1miWRYtTHr\nIGa/ZiZ/E/s0K2GfWSVZ18Cs2tg1MHvAoA5krEnBusyE3EtqqQRQQQZzyrbalvFJ5PSw8T2a3ZGU\nBGIlxJaNJOdbwho23kaLyTgBLoaw7PnYuBTJyyXn5/2DYV1Dw7Zt4XNZYjs25hPxCWA8k0l+PaXN\nDJsQQgghhOAoYBNCCCGESHMUsAkhhBBCpDkK2IQQQggh0hwFbEIIIYQQaU5aqUQ/S5g1lTcsK5ia\niqkbAVA1pjMsL9j5qJUGQBU71NrKUIlGiILOtOgg6jNrsRRfH24HZpNk2afQY1q2X0wVZ9lFUWWf\ncX+ziXKzhqhX6d6WNQ3vH1QtZ9hNUQw1pdkfkzxXJJcor4gFFQCuoLMUllRFTGyOLDUnu7/VRrUs\n2xxW1qovK5ukStzqX9GC5G3SYmxMMOzqmCKd9XsLqsCzbNIMBRwjtoMoDg2lLH0emK0TUYMGFSNj\ngqWEZv3ZevZSsUQjClxaB8vqjfRbOl4DaNi8NVzWUFgy1TRd8QCwvwtaY62OQOpgKTepwtLot+z5\nT+m7hPUln7y9H7PRAvjzYH33MiV0smiGTQghhBAizVHAJoQQQgiR5ihgE0IIIYRIcxSwCSGEEEKk\nORIdNOLDScKWDQVN+LeSlllCpJG8nUrisyPJscy6yNcayefEpsTX8eRNlujpDMcrlgBOr8tKOqZJ\n5cknj5tWOoZFD4Ml/VJ7LMMGiyUuW4niqSTMsuRcK2EWUZKcS+xizMRYamPFBQ6p2H7R5GsmHrHs\nl5JNhkby4gCA9w+alB6UJpuSE1MAQMPOsnBZS0jQnoxBlqCE2YlZ/Yu0Q6QDES0YNnqs37DrAvi1\nWc+jrwk/e+x5tEQ80cLCpI4J8LHG6stMYOSN+xAj52MJ7JbAgdWLiQsALgqxLLNYwrzVPyJF4XZk\nFlLMvgng98HlcKEIrS+x1gu2h4/hq8mXjvWMWMdlkPtjtRezX7NwWaRuyWrEkj6LEEIIIYT4TFDA\nJoQQQgiR5ihgE0IIIYRIcxSwCSGEEEKkOQrYhBBCCCHSHKlE47hIJGw5ZSnSmE2JZRFEiDFVC7jV\niWV/wupAVW2GKo7ZDFHrEoArcwwlkq8Lq8qo+sxQfnKFZvJ/V7gsQ4lEjmvdB2bLxNrRvI+kvSzL\nrKQtpADEdoZVWhbMGoa1o6WqpRZSlsUPs1+zyjJrGHLPLMUyUxc6Q7lFFX/EusjCVISxZ5Iphi0V\nIBs/DEWpy2ZtY/QZpvy01JjkntHrtZSQu4iNlaWqZ1jPNGsbZhFkKeqTVCEDXEFvjjWsXpbtH9lm\nPv/JYtSL2RyZinhyDF/OVbENbBwmfTSjR3der5LtvA4Ex+pr3V/y/cIw1a+sjxpjAhuDmB0iYNhK\nGv2DWUgmi2bYhBBCCCHSHAVsQgghhBBpjgI2IYQQQog0RwGbEEIIIUSaI9FBHO9joaR9K4GdWlMZ\nSdKMSE4OrwNJlGQ2JwAQMRKak4XZxTSQBFYgtSR6JjBgWNYyHJ68yZJgmZgCQFhQgrYSl4mAhCWg\nknYB+LW5Bv6o0YR9KwGdniv5hHtuMWYkxjJRiNXnUrBUoyIY0t4RYsNlncsSsLB2NK24ysOCDmb1\nFtSBPP8kkdhM+Gd9iVkXgSeVm5C+b44f5NpY28Sq+b2lNnjWfWAJ81a/JZZ5qVlbhe8DTWqHYdVk\niamIQMEUfyS5Px1nwNvLGm/ZmGAKa4iGLtqtKy3qK6uSOq5l+8Uss5i1FQBDGJeCTSMTUxhiOyp6\nMr6PXZQIL1IQj5jPAxtXZE0lhBBCCPHFQAGbEEIIIUSao4BNCCGEECLNUcAmhBBCCJHmSHQQx8GF\nVjA3V1snq8inUtZyH6CJuEYSPUuuj7DEZSOpnCZq1ibfHVJxH2DJl7SuMJKkrSRalqxuHDcVRwEK\nqYPlQuEyyT03VsimfclK4ifHsJKvqeiArZpvOB2w5FrqpAHDqcBazZv1fZbET5LHAdD7aAkvUoG1\nI3VKgPFME2iiOYy2TcFVwSpLE6qNxPZYVTipPBINC4ZMxwq2En4Kbh5W2zC3FXYfrGR39ox4XpL2\nfbMvkX5rCaeooIOMS0zoAgBgjjdG25pjBaPOaDMCc0CJFBDHGus5ZX3RGpsJ1v11eeHn1BPHGavf\n0jE7SfcEwG5v+n2aittCkmiGTQghhBAizVHAJoQQQgiR5ihgE0IIIYRIcxSwCSGEEEKkOQrYhPiC\nM2TsZkyueRwXf2/WPjtHRmYDHpj7LH75zNR9do7/Ji6+aQ4m7XwQQ8Zs+qyr0sTvX5mMSVWPfdbV\nSImHFz+Lh+f/87OuRpvcOmUqJtf+I2HbMWetwaSqxzDsuI2fUa1EOiKVaCPOhax3qO0HUlPmWEoz\nWgWmbDEUpdECppYhyhqiwAO4csqy7WHHtWw3aNukoLBkKjFLUcaurfELZVz2hYnnYzZF/KhUDenJ\nuSIdOuDiiR/g4u/PxsQzT8P8d3oA4AorC8/UnIY1FSOV/hWr2oWGku0J26LFHXm9UrgGl52Ns6+b\nj579y/Hbq06Cy842+xLtz8zyxnjGWm8fMnYz/jBlKh67dQQe+8MRiWUtFR47LutjhjqZtTlV+1rW\nNFbbtCwTcfEq+NA1m+pkpj416xBW9t74l9cw7rLVuPiACdi8OhhfWj6PLj4+upzslOzIaL2M/Y88\nfhnO++YS7HfITmS3a8C29bmY+1YPPPPXQdi4srkuKdlgWfViak6jLFXgwrCLSrIOTfegsV0b/x+L\n4Z3ne2PZnI74n1s+wLWjTqPKUQBALXn+DWUws5YzlYykP8d2Evs241qZpZlpuceuzbgGpghlKmRT\nVcuU7tZKCsxm0VIRk3aIdu3C62B9nyWBAjYhvuB89H4xrhxyGko3GQP5XpKdW4ev/u8cfPB6Tyyf\n32mfnEN89tz6jWORnbv3S6hYjL90Kb5zxzuo2RXFm8/0xo7N7dB9/woc96WP8dEHnRICti8+Dk/d\nNgg/euwtHPflVZj28uDPukIiDVDAJsQXnJpdGVj7UYG5btTecvx5K9ChsBZTnjhwnxxfpAdb17ff\np8c//euLAQA//9JYfPBq96btmR0y0K79vum76cyMl3qhfEcWTr96qQI2AUABm/gvYeSEtTj72sXo\nM3AnOhTVoHx7NtYv74A3ntkPL957UELZHv3LcdEPF+Kw4zejoHMNyrZlYfbUrvj7rw7G+uXN0+QP\nz3kCXftUAAB+/8JLCcdofCX73ftmYNylK3HpwDNx1KnrceoVK9CzfzmWzCzG98adBABwzmPC15dj\n/NdWoM/AMjgHrF5SgMmP9sdL9x8I7xNf1Eyqegzz3uyCWy4fjStvno0RJ29Euw71WLM4H0/ffjBe\nf7JvQvnG14aP/OIQPHrzoITftS+sxnnfmI9R41eh237laKiPYPPa9nj/P93x91sORU3V7oeIUy7+\nCLU1Ecx4uS/9fSQaw4TLluDEry5Hn4NKEY3GsG55ISb9/SC8eP8h8C3ez//00Sk4+rQ1uGviUXj+\n/w5JOM6lP5qNiybOwysPHoA/XjOyqW0B4OLvzUrI0Zt4zpmYNykfJ1+8At+9dwb+cPUo7NjcDl/5\n7kL0H7IdeQV1OKX9pQCAUaevwZizV+Og4dvQqUfwymTt0nxMeaQvnr9rQKj9AaDngDJc8ct5GHbc\nJn0eNJ4AACAASURBVGRmxfDxwmL847ahKOhUjRvvfAu3XTcGkx/cr6n80LGbcNxXVmHQqK3o1KsK\nGRkxbFzVAW89vz+e+vMQ1NUkNxQffeZajDl3LQ4aUYJOParidS3AlMcOwL8fGkLrmt2uHmd94yOM\nOXc1eg0I+tfW9XmY/Vp3PHHroSjd0g6TKh5pKv/Yxy83/Xvzmva4bNj5AII+PmT0JozveGXoHIef\nsB5nXb0YA0dsRW5+LXZuzcHyecV4/t5DMPetXkldW6w+eK20fG5Rwvb6uijKd3yys8OZWQ0494YF\nOP5Ly9G9bxkaGiJYuaAjnr9vEN56vh/d56DDt+K8GxZg0MgtyC+uRvmObKxaVIRXHjkQbz67f1O5\nky9YiqPGr0W/Q0vQsWsV6usjWLWoI1568GC89s8BSdexriaKGS/2wrhLPkav/juwbnnR7ncSX2gU\nsIkvPBOuXI5v3zUTJZva4b3/9ELZtmwUdK7GAYN3YNwlKxICtgOHb8MtL05Fuw51ePfFnli9OB+9\nDyrHiRetxtFnrsfEccdi6awg7+vZewbj6AmrMWT0Rkx5YgA2rwmCObbK/7W3zcLgY7Zi5n96YOYr\nPRBraP5i/f6D03HCBauxZU0u/vNgP8BFcPQZa3DD7e9h0Kgt+N2VY0LH61BYiz+9NgmVpZmY9MgB\naF9Yh7HnrcYPHpmOTj2r8M8/HhLapzXd+lbiD6/+B137VGDp3E546eFD4JxHr347cc4Ni/HS3wZg\n85q2Z1Vy82tx4LCtWDqnM2p2hYeTaEYMv3hiMkacuB5rlxZg2tP9UFuTgaGjN+C6303HwOFbcOs1\nxzaV/+MNY9FvyLP4+s2zsGBGV6yYXwwAGHbsBnz1xvlYtagAd35nBABg+r+DQGDcpSsx/50emD+9\nR9NxNq9NzD8Zc84ajDh5A96f3BMv3X8guvRpztG78ubZiMUclszqjJIN7ZBXUIehYzfh2j/NxoEj\nSvD7y0clHKv3QTvxp2lTkN+xFu++3AMrPyxE9wG78JNHp+L9KTw4+cqNC9HrwDIsfrcz3n+1DzKz\nGzDoqM245KY5GHLMJvzgnPGIxXaf+3Tlr+YFdX2/E0o25CKvoBZDj92Ea2+bhYOO3IFbv3FcQvn2\nhTX4/Suvot+QHVj7UT4mPdIP9bURdO9XiXEXL8c7L/RB6ZZ2ePQ3Q3D0hNXoN2wn/vXnAagoDfJ6\nqmpIHk8rLvnBHFx801xUlWdg+kv7Ydv6PHTsVoVDjtqCE76yIumA7fFbh+IX/5iKy2+eh9uvPSqp\nffaEjMwG/PpfkzF0zCasWVqIF+8fhOzceow+YyV+9MBr+MeftuOhXyXmQ5562Ue44Y8z0NDg8O5/\n+mDDinwUdN6FA4eV4PQrlyQEbNf/YTpWLynCgundsH1zO3ToWIMjTl6HifdMQ6/+O/HIb0ckXdeF\nMzpj3CUf47Cx6xWwCQVsTTgXss6wkscj7UgCe17yFi7UfgkAfPJ/RTaU7gzXIQUbG5roSRKRAcAR\n255UktJZonmMJY8CcCQZ2bQZacPio+U+p121HLU1EXzjqNOwc2tO03ZfX4/84poWbeTxvfumI6+g\nDrdcMRqvP3VAU9ljz1+LH97/Om56dBauHnUevHd47p5BaF9QEwRsjw/A/HeC1zgsKb3/sB249qhT\nsWlVYgB03FdW4YQLVmPZnCLceOJJqK4Mvigf+smh+MOrr+KE81fivZe64/Un+ya80jxgSCne+Gcv\n/PZrxzbNqjx522Dc+c7L+Nov5uPtf++PTauCL1uXEfQrF4nAZTQn2N702Ex07VOBB346DE/+IfGV\nS35xNXZVJCbjRgoLQtc16Pg1iGZ4fPR+IX1eLvrxfIw4cT2eu+tA3HPj4fDRoI9FIsPwrTvexfjL\nluPNJ7thRjz4KqsAfnvRKPxh6lT88IHXcd3o05GTV4+J976JupoIfn3h0aipigCIYfrzPVGxIyMI\n2N7tib//6ciEc7v29U3P9BGnrMdPLjgVs17qHKrjT847ERvXFCbu6zxuvGMaTr5kFV6460Aseb+4\n6XfX/3UO8jvW4o7vHoOXHgwCY79rF0aM64tfP/d68P+6+oQk7zu+MzJ+711CQnXjrOHos1bjzeda\nzuwE9zSSk52QAP7TC07BhqWJ/d45jxvveQcnX7QCz9/RD0veb84jvO6u99BvyA78+//646/fHN7U\nV1xWFnLy6hCJBtObj/1mGLruV4V+w3biub8NbfrjIyB4JhtnQn1DrOn5Ovz4dbj4prnYuKoDvnv6\nGSjZmDhWdOpRwW3SSAJ6+w7VqK9zmHDlCtTHMnHnd0cG7cCSyq0E9lZjuHPx621hy/alb87B0DGb\nMPOV7vjpucci1hBcy6M/G4i/vP0KvvqduXj32U5Y9G7Qjn0O3onrb5uByrJM3HjCSVi9uDChDp16\nVCYIoK455lxsXJWYbxf11fjVs1PxlW/NxYv/1w8lG3ObbbQaGzb+/5bj2tIFPQEAg0esxfN/2g+t\nYZZqpr0WSeQ3rcdIYnwq53KRsEjLtKZi1lCGlSAd89n3nmGjx4QXloiHWl5Zgp+83PBGSzhVmcJ3\nZyu0rIf4ryBW79BQF35dVFbSPIgcMmob+gwsw6J3OycEawDw5rMHYMGMruh94E4MGpn6UgtP/fHg\nULAGAOO/9jEA4IEfD2sK1gCguioDf/vRMADAqZevCO3XUO/wt5sSX4FtXt0ez919EDKzYjjxgo/b\nrM+Aw7Zj0KhtWD6vCE/dNij0+7KSHNTV7P4PiC69glfC2zcSxZ3zOOvapSjZmIN7vnt4wgxSLBbB\nvT8cgVgMOOGC1Qn7LXq3Ex7+5TD0GlCOb/3lXUy8720Ud9uFu793JFYvCgeNyTDjlb744PU+9Hcb\nVxKPRO/w7B1BTt7wcc1LK3TuVYnDxm7A+hX5ePmhgxP2mTW5J2ZP7UbPEQTP4f737F1B2w8/YV1S\n19E6EGis63N3BXUZfnJzXQs7V+PYL69FyYYc3Pf9YaHXpdWVmagq43+kJcuZVy0CANz3kyNDwRoA\nbNuQXN7biV9dge/d9w6mv7gf7v/5cJx51RLc9Lc3Ec1I/NI7/isrManqMZx7/aI9rvO4C5cgFgP+\nb+LhTcEaAJRuzcHjvwnux/grmp+5069ejoxMj8d/O7gpWGvJtg2J183uUX1dFP++9yBkZHoclsJS\nHTu2BM9Vl957/iUvvjhohk184XntH33xP7+bjXtn/xtv/LMv5r/dFYtmdEbppsTuP+CwHQCAuW/y\nL925b/XA4FGb0W9ICRbM6E7LWHzUYoamJf2HbUdDg8O8N8IS8PlvdkFDvUO/YdtDv9uyJhebVuUh\nkt16n67Ajz5E/yHhfVoy8KhtAIAPpvSgeU/Jkl8UzBZXlIa/+HsdWIb84lqsW9YBF/1gQbCx1V/0\ntbsy0GdgWWjfp/44GEPHbsIJ5wc5aq8/1RevPDwAQPJGzS1ZOptL7AGgQ8dqfPk7i3HEyevQvW85\n2rVPnDVozGsDgH5DSwEAi2d1oe22YEYXHH5iOKDPzq3DOdcuwdFnrEGv/mVo16Eu4Y/9Tt2T+0Lu\nUFSNL107F0ecsh7d+1aE69qzua4HjihBNOrx4dtdUJ1ELuKeMHDEVsRiwKypyb32ZLQvrMH1f3oP\nGz5uj1uvGYPa6gz4mMPXb56FDkU1uPmrY5pyKXv0D5aWWDqbP0+7o11eLXoeUIatG/Kw9qNw8D93\nWlcAwYx4IwcfVQIAeH9Scs98554V+Mq35mPY2A3o3KsCObmJs03F8dzDZCjfEbwRyO+UvHG7+OKi\ngE184fnXHYegrCQHp1+9FGdd+xHOvSH4C3v+m11w303DsGx2kJOWVxBMw2/fxF+1Nm5vX5B60LBj\nMz9mXkEdyrdnob4uPJsVa4hg57ZsFHYJT83v2MxfLzSeJ283dWy8hm0b7NfKyVBTHdQ7Kyf8CqRD\nx+AcvQaU45KfLDCP0S6PvVZxeOeF/TDipGA24tk7d5+T1xbbt1jtX4s73ngZ3fevwJJZnfDqP/qj\nfEcWGuojyMurwrnfXIrM7IYW5YM+UrqFvAIBULolJ7QtmhHD71+agoFHbMPKhYV449n9sXNbDurr\ngojtkh/MRWbW7tc1y8uvwV+mvoDufcux5P1OePWJA1C+IxsN9Q7tC+pwznWLkZnVXNeme7x+7+5x\nW7QvqEFFaTZqqzPsRcx2w8gJ65DboR7P3HFAcBwA//zzoXARjyt//gFueelV/PTc41G+IxtHn7EW\nW9fnYuEMOwBvi7z8oE12bOb3r2Rj4zPe/EquuR35Pi3p1rccf5n2MtoX1mLhjK6Y/XpPVJZnoaE2\nhq59KjHu4hUJ/Wl3ZLcLno3aXftmSR7x+UIBm/iv4NXHD8Crjx+AvIJaHDJyK445cy3GXboCv31p\nGq48dAJ2bstB5c7glWRRV57/0LFbsL1yD14jebZSMYDKnZno0LEW0YwYGuoTZ58i0RgKOtWgqiy8\nsGNRV/4Xd2PdK3e2XceK+O9bzh7tCaXbgi+4/I7h+lTF2/Pt53rh5vPHAuC5R0yk0aNfGa769SyU\nb89CbkEdvn3ndHzz2NNAiiaHMYt46mXL0H3/Cjz622F47JbDEn43cMhanPvNpQnbKuP3orALnyVh\nwfWo09di4BHbMPnRfrjtG8ck5BJ17FqFS34wN6lLGH/pUnTvW45HfzMEj/1mWMLvDj5yK865bnHC\ntqZ73HPv7nFbVOzMRn7HamTl1KO2Zs9erxZ3D9qyrCQx2H3qT0MQiXhc/tPZuG3KZDx390HoP3QH\n7vne8D2eFW58douM+1fcvfEZb37mmtuxis7KteS8GxahoLgGt103JmGZG19bh+O+vBLjLg6nN7RF\nh6KgP5VuDf8hIP77UA6b+K+icmcW3p/UE7dfNxJTHumL/OJaHDpmK4Dm5QSGjtlM9x06ekNQbl7z\n65hGtWdj8naqLJ9XhGjU49AxW0K/GzJmC6IZHsvnhN0IuvSpQtf9wq/RhowN6r58PncwaGTJe0FC\n9fCTN8C5Pas7AKxcFLRF74PCrzXXfJSP8h2ZOPjIklAuUltkZjXghw+/iZy8evzmsrF48rbBOGBw\nKb7x+/dDZZvaP7Jn19CjX/CK7e0XwgndQ8aG78mKeUEO08EjttB2GzwqvE+PA8ri5wjn0B06Ovl8\nyB77x4/zfLiu7DgfvV+MhgaHQ0dvQU4SC97GYqn35SWzOiMSAUacmFwOHqNRicxsuP5x21A89POh\n2O+QnfjWHTOxYn4RXvi/g0LlkmVXZRY2rMxHcfdK9Ogf7rNDjw3u37I5zYrMxe8FffyIU3afe9bj\ngHh/+nff0O+GjObjSlv0HhCIy1bMk0JUKGBrJhaD37Ur8VNfxz81NaFPrHIX/TAi7drRj2OfjAz6\niRYWhD4uKyv0ieTk0A8r6/Ly6MdXVIY/DTH+Ie3lMjNCn0huLv3Ax8KfSIR+YhWVoU8jLes0ZPTG\neF3qEz6FXYPXHjW1QXssmtUDa5fmY/DRWzD69BXwtbVNn9FnrsKhR2/GuuUFWPheD8BFEKvchZ2b\ngkeoU+ftbd5zlxFuA5eZgcmP9AcQLNeQ075ZfZfdrh5X/CqYeXnloUAAEWnfHpH2wZdbNMPjqj8s\nAhqar6trr1Kc9Y2PUF/nMPXRXs31jyuuXFYmInntEMlrhxVLe2Lhe13Qf+gOnP/9j+ByshM++d09\nsgqiCdt8TW3os2peHkq35mDgUSWJ1xaNwCMDL9wzEMU9duG62z9Adl4sUMK1+HTsUoE+Bycqnq/6\n3VwMGLYdT912CD6Y3AWP/GwQFrzTGadduRRjL9iU8HyUVwYzHp27bEesrDzh4ysq4eOKbF9TEyib\no9GEz6b48h9Dj9sGl53V9Ok/vAxfndg4Y+UCpbOLYOu6Dpj3Zjf07FeGCZcubGp7164dRpy2rSl/\nzWVlwdfVw9fVY/PHwSzkkGM2Btuqa+Cra9C1ewmu/FkQhHrvE/tnXDHo6+vha+vga+uwaWVwnKHH\nbwvsv+Kf/iPK8dXvNuYINt+zsooCvPHP/VDcoxpX3zoPkcxo0/gBADl5dcjNb56yLNuSEW/L0qY6\nJow7jYrLjIymOj1/VxA8XXXze+jYeWfoGevYeSd9pl1WZtNn5tS+2L65HY45cw3OunoB0FAfqC7j\nn/en9EL59qym56J9x/rQfWz6tD5XY9tW7Wr6THq4HyIR4Opb5iKaGSglXTSCgi61uOjHwT2f8syh\niBQWIFJYgJefOAz1dQ4X/uBD9B5Q0jy2xe9vcZeypn9vWhW8Nh0yenNTn4GLYPgJ6zD+smXxwckD\nsVjzs9XC8uv/2Tvv8DyqO/ufO6/kIsuWZLkbYiD0GGyKYzqEXkNNIZtAQno2PT9KSDbJppFsCBtI\ngADpuyHZFCAFSCihBodiMMVgY4OxjcFNWLZluUjve39/vJKwNOfIMzK2X9vn8zx+BKM7M3dum6s7\n33NPGNC/Wzvc66ByrOlT/9qxq++u/w+FJP1PsV6Zdv7rrOfUv47nWf8fq0d1PoXltZB0taVu/3q0\no85/qKpK/aPvAfHOyAUrL5Wv9mLqX1zVSv9tDP4karZ5vvq7+7G6pQozHmnEwpcGIQRg/GFLsOek\n1/D844144p7OYOKA733kUFz25ztx6a8fwpS/jMX8mYOxw+4rccjbF2DVymp87xNHdfscM+2+kSgW\nAy74xpPY6S3L0bKs/GK58TvZdia/53c74+BTX8aR58zF9VP/gof+siNiKeKQt7+M0Tuvwr2/exP+\n8dudU+e9+HQD9jhgKa5++O+Yetco1Na14Yhz5mFwQxtuuGQCXn1xw/tn/ddHj8J//eVWfOArj+HQ\n017CU/8chRCAsbuswP5vW4APTz47tZ9ZmoB//mVHnHLBLIzbqzmlovv1Zftgl32W4dQPz8Lkkxfg\nyXtHYukrNagfsQZj37wSex+8BL/4yj6Y91x54nXo6S/jjH+fhecebsQvvrovgLKi9LLzDsG1j9yO\nz131T8yaNqxry5KXZw3BkgU1OPKcl9DelmDx/FrECNz9m12weO6GY47u+s2ueMenn8FHv/kQJhy2\nAAterMPYXZbjrcfNwz9v2QFHvXNe6pwf/b+DccUdt+JTV0zBpONexpzpDRi98yocetocPHTbOBxy\n8tyuHRsA4F+37oAFs2txzmdnYOfxzZg9rQEjdmzF5JMX4JHbx2DkuPQ9aF5vfDPe8Znp+Oi3/oUJ\nh72KBS8OwdhdVuCtx8/DP/+6E446K60Mvvrzk7DT3s049cOzsO/hizD1rjFoW5dg1M6rcMAxr+Br\n73obnnqgLLJ54p6ReOcXnsNnr30YD968I1avrMaqNbX4y0/SKuJOHv/HGPz6u/vg3y5+Gjc8cjOm\n3PomLFkwCPUjVmP8QYvx3KPDcfkHet93bHVLP3z7grfhP39zJz7xvUdx4nmz8cyUEVizqgq7TWzC\nhCMXoumVGjxyx1gc8+45+OZNd+PCU0/qpqrOwx+u3BuTjl+AQ057Gdc+fCse+ftYDKhpx+FnzkPD\nyDX43Q8nYPrDrwsM5j3fgKs+uT8+c81UXDv1Tkz58xgsmFWLIcPbsccBTVi1ohoXnVDeBPsvP94N\nx5/3Ir70s7vx4F92RtOrNRi31zIceMx83P/HcTjqHXNVtij7HzEfK5v748kHxmw4sdnm8YTNbPP8\n9MsTceBxr2DXicsw6cRXsW5NAYvn1eAnX94ff/3JHt1ix2Y+NhyfOuR4vOeL07Hf0Ytw0CkLsHxp\nf9x305tx4+X74eXZ3Sck82fU4fIPHoRzPvccTvvoLPQfWA4ozjphA4DLzj8MTz04Aiec9wJO/uCs\njusOwQ9/sBf+eh3fGX1lc3986Zzj8aGv/gsnnDcHNUPaMPe5OvzoM3vgnt/ulOm+i+YNxiePOgPv\n+PRTOOTkeXj7h57DurUFLJpXiz9ePb4rPm1D/PX6PXDKBbNw7Lkv4KdfOaDb74rtCb72ziNxzLlz\ncNx7X8TkkxZgQG07li/tj4Uv1eJXX5+Af/xmRwDA8B1X4XPXPYKW5mp8+32HdttyYcnLg/D9jx6E\n//zD/bj0Z/fi8yecjPa2AkqlBF8/9yhc8PXHccSZc7vUl9OnjMg0YXttYQ2+cOLJ+ODXH8db3roQ\nBxz1MubPrsfVFx+GqbfW0wnbvJn1+Nyxp+D9X52KiYcvxMQjXsWcZ4fiG+cdhx13b8YhJ89F68rX\n47nWtFbhohOOwQe/OQ37HrEY4w9dglfn1OLXl43HH3+wJ72HzOsJJ+KD35iGt0xeiAPe9jLmz6rH\n1RceiifuG0snbC3N/fHZo0/EWZ98DkecPRcnXTALpWLAkgWDcMf/7Iq5M16PyZp65xhcd9F+OOmC\nF3Dmp2aiX/8SFs3rfcIGAL/6xn547uHhOOMTMzH5xPnoX9OO5UsG4PknhuGu33LXgJ48M2U0Pn7Y\nmTjn35/EgcctwInnz0Lb2gLmz6zDz75S7qerW6pQ3b+EI86ci6/deDe+fM5xVKyzIdrbCrjktONw\n9ien423vnIPTPz4TxfaAF59uwHVfORT33rxr6pzbf7ILXnqmDu/4wkzse+QSHHL6AqxYOgAvPlOP\nv/3s9Wec80wDLj79VJz/pUcx6bjyHoVznhmKr597JFY1V+easI3dpRl7HbgIt9ywL92U2mx/hKii\nobcz6pLGeNCAk7sdUxvcJmTzvtgmNhBkS9RqaZZsbCg3EByQVgmyzQ67/am/gTyEQel9lAAgrlyZ\nPqY2BSR+lay8FCwAPYgNfVWZ88RkQ151XZKHZHB6pUltrMxQG32y+lFl21nnf1/+czz5wChcdOpJ\neoNIAtv4Mg8qXygW8a1b7sTO45vx/vFnlpV+qt2x67LNN8lmywBv9+tvWtoNlodqviqz/saqXacv\nT7d7lYfOz4wX/fgfOPodL+BDk9+BedOyrwDR5wLos6kNSGk5ivGD9X/Wn1SbiWxsZOMX+Cam8rps\nDGOIe7HxVl6TtA+2STgAFJvS2+Ssvwn1+tANZkkZqDoPA8oCgw995UG8/QNP4yNHvgevPi/aB9s0\ndq1Q5rB+Ivop6+vrb+DcdboKASHjXajh74HYmr4GG4MBIGlIx/KV2CbyarwlyP6Uo40nQ8hejuS5\n1HXvWPWrqTHGDVpgOIbNGLPR3PClA1E/bA1O+/DMLZ2VTU4IkaoMJx6xAEee+SLmzqhPrcQak4eG\nEatwyvnT8eef74uF8/q2WbTZ9vA6aychpP7qDGI2zf4qYX99ADn+YgToX0BylY+sFLC/FKRNCfnL\nu7RsGUnIURYdSW36RVVsbk6ny7Hqpv4KZGWuAl7DAJJW1E1hWHpTzuLSpvQ1laUJ+es012qgoNtf\n6aUi4urV2iqFrQKrtsBgbVGs5iW1tXhpxjBc8e+HYWBtG1AoyL+Q2cpZnpU/VmdydZv9lS1W49hf\nw+qv9OrBBfzvs7/Hk/8cg5dn1aNYDBi3+2vY76gFaF9XwNUXHlIOrFeWauR52SoBwOuR9ScAXYKU\n7gfF3+RsdYnkV60is7TSeoi1xRyrXmxVVJWtWpllsP4Q1MouWU2TYz4Zs2l/VKvj1f0wcuxy/P6H\nE3HLDfsiFkuyHthYJVd2SD9RbTxhX3CYbWCOLweyfbDxUo0fxMaKfm1S7wG2rZAYF+mKs1olzGE3\nJZ8tA56wGWPeEO76bTr2Z1uk2Jbg1l/uhYmHvYI991+M/gPbsaKpPx7408743Q/2xQtPD9vwRYzp\nheceG4XnHuOOK2b7xRM2Y7Yyju/37i2dhe2aUinBtZce1v1gntVLY4zpA45hM8YYY4ypcDxhM8YY\nY4ypcDxhM8YYY4ypcBzDtj49VaFKMcQUP0LNWWpNy/+Tmg1v6NmVVqgpqQqmQJSfOfaSY88FgO/l\nJPazYgq2wrB0EHYeVY2iSJR1yQBuksxUaWpfoGJTWi3L1JiyvHLsjZanLeWBKdCoKk6oTJm6ULZF\ntsdUDgUt62clsvefIs8+fXn2Z1JEothj/UypzAOrB1G2rBwLjdwnlipd+/F+ylSHLA/JQF5eVLUo\nVY/pPORR9iaD0uMlU20Dot2JsSoXZB9HtgcaAKp6ZMi99whsH0hA9GmhxmR7hSl1MttfjSosRT3S\nvejEmE/HZlG2xeVp/9dC3ZD0+UrBS96bqo+wHWqVApei+j8brzJuJuEVNmOMMcaYCscTNmOMMcaY\nCscTNmOMMcaYCscTNmOMMcaYCseigw5iLKWCp1UgcB6LHxYEn8soXplVk2PMOkgZFLOAe2ZwrK4R\nEm7xw+xx4po16fNVoCcrG2GvQwNxldk1u5eycCEG9mFA+rlUYDwVEgirFBaorUzWk7r086o6o6IS\nFuyq7NeYhZMKot0EgoyknvsnsjpjwdQAF48om7NA2lIeYQwT1qjNdKklkbKQymNKT4LCWZA2kN0a\nTgpgSBB+aa2weiPB9SooPLDxY1VauKWEJqyNSpsidg0mLgBv42r8yDMO03sNYLZO/HmZ+EKK2sSz\n8TwQ4QIbE8Q12diohBP0/qJ9MktGJoApjBxBz6eWaNW8bJNa0ifV8xKRRqJM5enRbHiFzRhjjDGm\nwvGEzRhjjDGmwvGEzRhjjDGmwvGEzRhjjDGmwvGEzRhjjDGmwrFKtIOAkFICUdUmhG2HSEtRSqSB\naTsPlTYSNSRVBgr7pbh2XS8ZzIBQ20nVYc/7M7UOhDopj/JTKCwDUeHFdbwMWDlS+yVliUTSSoUU\nq19RNszyRiqRmC0TU+sJ9RmzX5J1zspWqAtZHqi9TiG73ZS0Kcqj1iWqNmUdFIjyu0SUjFQNil4U\njgRmHaRse5jyuiDaB2t31CJIqLnpuCJUsVRBJ1SipdeyKXulrROzE6zminbW/9Xz5qFqzOjUsdIK\nouxlqkuBGq+VFR8jDCJ2UWocJu+zPOpGqvLMoVKVCnzSd9jYSssb4O8npeam45KwqyQKbWrfmiA3\nMgAAIABJREFUBq72z4pX2IwxxhhjKhxP2IwxxhhjKhxP2IwxxhhjKhxP2IwxxhhjKhyLDjoJIWUD\nJQPYSYChClalAgURNMwCLVVaallFgliluICkLdQN4WnZ6SQYGgASZrGTUYgAAKWWltQxZetCA/lF\nsCqziynU19O0NGCeBTOLIPxIylYFoLK2pMQQ9H7C0ihQC5d02SbFbBZFvd2L5ktYqjEbmBDSwb15\n7JdyBYqT88s3zBEQTQQGyaC0HVBRWSKxgH011hDRgBIzgNknqXZXmw5AZwHs7FkBAOuyWYwBPMha\n1i8TE5DxQ/YnEpQu2wep8zxiKJW2tKw5fSyPXRXp/wmpLwBAgeRLtDuVXwazNGMCJyWgYXZxrFxk\nWiUaILDxOs+YoKwm8zwDo9DYQI/nebZUnvp8pjHGGGOM2Sx4wmaMMcYYU+F4wmaMMcYYU+F4wmaM\nMcYYU+FYdNBJkqR3MG/jwd9sx2cZBKtEAxnTKuFDMiA91y6RYNNEBF+ywHgVlMp2l5c79zNXAiY6\nEEIEtXM/zZcQGDACuV+xWQTB1tamzycByiWxmz8Tb6h65PfnAcbsGjIAnYgkaNkqQQgL9BblXaiv\ny3R/QNQZETPIMmDPK/pYHjcPtjO7el7W9tm9mEAC4EKAIPoTc6KQYw3bmV04AsRWUo5srBAuIzQI\nX7RxWjbKRYI8LxNelJRLQB6BE+m/hcahmc8PmVMCCRk/EtZvwIPSpWCAuUAogQILrhflxQRZyr2E\nwfLL3iMAF7awOld5oIIy5fBD+k4yrJHni7luCJhQTI0/qhyy4BU2Y4wxxpgKxxM2Y4wxxpgKxxM2\nY4wxxpgKxxM2Y4wxxpgKxxM2Y4wxxpgKxyrRTorFlIJNWlYwRZew6GDqEWXnkc8eJ62MSQallTHM\nYgTgqkmmlAO4QlJCFH/MKiUU+N8KVLk1bBhNG1elFT9KgUMta3I8F2sLylqG2XYpVS21kVH2SaTO\nkgZuf1JcujR1LAxIq1+VjQ1TsKm/7rg6UJQtaR/MRkYq0ojlVR77NaYoA/izqf4A0nZpHkT7oio+\nMdaUSBtHzNEfhVqXqgNJWqbmvOCrZ2O3ieOww5tHYUhjLdatWYdF85sw5bYn8eef3IOVy7rneX1V\n6/7HjMfx7zsCex+8O+pHDEEIAU2vLMOzD8/CPb+bgkdvezx1v55tvH9NPxz8zoMx+cQJ2HXiOAwf\n24hSqYSXZy3EvTc/ij9ffzfa216v+7iuDe+99Ay879IzeVl08MqcxbjgwC93O1Y/fDDO/cIpmHzs\neAwd04DWFasx/aGZ+PW3bsILMxfxCzFlLWn30qKIjc1qtwHWFpWKmIxBCVHlArw9s7FVqX1ZG1Wq\naVpe4nmTEel3QSDvQrWDAFXmRrbvA7eQU5ZqXDkurOlYmWUUtHvCZowxJjNnfvw4zH5yLh6/Zzqa\nl67EgJp+2HPSm/G+S96Ok84/HJ89/jtY+kr3LREG1g7ART/7GA49fRLWrl6Hafc9i3/+6VG0txUx\naqfheOsJE3Dsew7D76/4K2645Ne93n/85F1xyc8+hhVNLXjygefw0F8eR23DIBx08n74yDfeiUNP\n3R+XnHE52ta+PsF46oEZ+J9v39ztOp1/tE4+YQJ2mzgOj931TLffj9yxEVf87WI0jqrHjEdm48Fb\nHkXd8ME47Iy34q0n7YevvvtKTL17+sYUpTG58ITNGGNMZs4a90msa00vCbz/q+fg3M+fjHd97iRc\nfeGNXcdDCPjybz6NScdPwLR7puM7H7gGyxZ3X/mv7leFUz50NMa+eeQG779s8Qp854If44GbH+m2\nknbDpb/F9/52Kd4yeVec9qGjcdPVd3T97qkHZuCpB2Z0u07oV40kCTjhvYcBAG7/5f3dfv+xy96F\nxlH1uOW6u3HNp37SdfzGy27Gj6Z8C1+4+oP4wP6XYC0pC2M2BY5hM8YYk5n1V67W5/5bHgMAjN1l\nRLfjb3vXwZh0/AQsmL0QXznr+3jt1fSG1W3r2nHLNXfgugv/Z4P3f3H6y7jnd1O6TdYAYHXLGvzx\n6r8DAPY9dI9MzzLpuH0xfOxQPPfoC5jz7Mtdx6v7V+HAY8ajWCzhl9++pds5C2YtxN9/cR8aR9fj\n8LcfmOk+xrwReMJmjDFmoznoxH0BAHOmv9zt+MkfPBoA8If/vhVrWnvfLb9tXd93gQeAYnux288N\ncdL5RwAAbuuxuja4YRCq+1VhRVMLVrek87xwTjl+beKRe21Mdo3JhT+JdhBjRGnNmm7HkpoanjaH\nRQcVGKhgZGb3QgIqAS4wYIGaKmCfBYWWSLA8ICyzRLA6uy4NyFTB38SShIkLAPDAaWX7wQJ5hX1J\nVtQzhOp0neexkJKQ4FwVRE8hQfhK/BF79AV1f4AH0avAZyoaYKIUFcxM2qJqt4Wxo9PXFSIcav0j\nnpcFetNyrBL2OMQWKo9djRKasEBrKSRi5chse+qEZVYVcPYnjsPAQf1RM3ggdp/4Jow/aDe8+NQ8\n/N93b+lq70khwZ6TdwUATHtgxuuB52oMJOMla4tMqAIAx597CADgsb9Pe71dkYB/AGgcWYdJx45H\nS3Mr7vvDw2XxTLFc5ysXLUOxvYghjbXoXwWs6VGOo3cbCwDYYfdR6bpn9U7GxTx2dQoqdhHPm/l8\n8LbARANy/MhjC8fee0KEExcuTh9kzyvKgNlgqbG5sMOY9GVpynyiozziwp54wmaMMSY3Z3/iWAwd\n8brq7tE7nsTlH7key5e+PnEcPLQW/fqXJ1dLFmT3ZuwLp33obZh0/ATMfvIl/L3HihnjhPcdjkJV\nAf/43RSsXd39hbtuTRuevP857H/0eJz35bNw/Zd/1/W7MbuMwPEdcW+D64RvpzGbAE/YjDHG5OY9\n4y8GUN76Yu9Jb8YHLj0d10z5Jr5y9vcxe9rczZqXQ0/dHx/79rvRtLAZ3zj3qg1+Eg0h4MT3HQ4A\nuPXn99I0P774Rlxx55dw9qdOxF6Td8WzD89GXeNgHPb2A7DgxUXYdd9xKIktIYzZFDiGzRhjTJ9p\nXrISD902DZee9l0MHlqLC2/4WNfvVr7WgnVry58Zh43hn3I3loNPnohLfvIRNC9ZiYtO+BYWvrRk\ng+dMOn5fjNixEc8+MhsvPbuAppn73AJ88vCv4c5fP4iROw7D6R89FvscugduuuZOXNOhgm1ewj+x\nG7Mp8AqbMcaYjWbx/CbMm7EAu07YCUMaa7GiqQWlYgkzHn0B+x62JyYetTdenUNikDaCw08/ABdf\n/2EsW7wCF59+ORbMWpjpvJM/cBQA4Laf39drulfnLMblH70hFQPb+Un0+Sdeyp1nY/qKV9iMMca8\nITSOKq+ildYLqL/tZ/cCAM759EnoP1C4vHRQ3S/7GsLbzpmMS274CJoWLseFp/4XXnkx22Rw6Kh6\nvPXECWWxwU2PZL7f+hz7roMBAPf+4eE+nW9MX6i4FbYQwkAAnwLwDgC7AegHYBGAxwD8IMb4zx7p\nEwAfB/ABAHsCKAJ4CsA1McbfZL5vVRUKQ4d3O1ZaxoNkmUpLWWFQSyNlY0XUclQNKtIiSavalJqK\nWVtJ+xOiuEmE+oypi6jih6gFAVAlYx5VTZ7yikIFyPKbMCWkygNJWxLtgymvmJ0ZwNsNuxcglJdM\ngSsUUiy/BWbrAgBE7aZUXoGpRJlaTijoQiCWN6LdRqIIZe0e4O1GKaGzqvtCFf97mNUDOwb0oi5m\n12VqO6VkJu2mMHJ46lhxUffPi2N3G4Vli5Zj9erufSeEgPd//V1oGFmH6f+ahZZVbV19/N7/ewjH\nnnsIDjxuX3ztt5/B9z78Yyxr7q78rKou4KTzjsCOu47E1V/ovhcbe4Zjzz8Kn7/2g1g8bykuOvHb\nWDy/ST5XTwXfie8/CoWqAu668QGsbW7pnrb99efqnDy2rWvvNt6de+FpmHDEXrj3jw9jFllhY/VO\nxx/RjtbPQydqvM0DU9ur9wPrD1Q5KtotLQOlumaWaKLvMIU2mCpf7CxAxwpRtpGoz+XuCMxyT12X\njY0Zu3lFTdhCCDsDuAPArgBeBXAPgHYA4wCcAeBJAP9cL30BwE0A3g5gRce5/QEcA+DGEMJBMcbP\nbM5nMMaYbZW3njgRF3zjXZg+5XksnLsUK5pa0DBiCPY5bE+M2WUEmhY24wef/mW3c2KM+Oa//RAX\n/fRjOOS0A/CL6Vdg2v3PYf7zr6JYjBj5pkZMPHxP1A8fgt//4LYN5mHCkXvj8z/+MAqFBE/e/xyO\nP++Irt91/lHTsrwVt1z/j9S5IQSc0CE2uO0n9/R6n7G7jcYV9/0nHr/raSx6+TVUVVdh4lF7Y5fx\nO+KZh2biys/8stfzjXmjqZgJWwhhEIA7AewC4BIAl8cYi+v9vhFAY4/TPovyZO1ZAEfHGBd1pN0N\nwAMAPh1C+EeM8U+b4RGMMWab5om7n8Hf3jwS4w/dA2+eMA61dTVYs2otXp69EP9z2RT86bq7Uubv\nQNmF4D/f9YOy+ft7D8deB+2GiUfsVTZ/X9iMJ+57Dnf930N47PZpG8zDiDcNQ6FjpeXE84+kaRbN\na6ITtgOOGY9R44aVxQbT5/d6n2WLmvHI7U9g74N2x0GnHoD2tiLmzViAH33+V7j1p/eghLDBvBrz\nRhJihciSQwiXoTxR+1GM8VMZ0hcAvAJgBIAjY4z39/j9+QB+AeDRGONbN3S9uuoR8eCh53Q7trk/\nibJPf2oDUf5JlCzL5vkkKjZBpNcVS+F02VxtgsrI80k0x/PKpWyWNuMnUfasAN8oWH4SZRuF5vgk\nmud52RK9/CRKNiuVn0TJJw35vCwPOTbOpZs4q89+5BpvxCdR+Tm/5/1ViEEO2LMF0r4AAG3pdqOe\ngX06DAMGpI71/CTalZZ8yqcbWQN0A2I5rpENjFl/UGWb5ZNo13H2mZJ8jgTEJ0nxvFnb6Ob+JMpQ\n4weDbqys2iJB9tM8z0Y2IM71SZSFhajwDfI+zPVJVIU5kPvdseLnU2OMG/Q5qwjRQQihH4APd/zv\nFRlPOxjlydrLPSdrHfweQBuASSGEsRufS2OMMcaYLUOlfBI9AOXPnQtijHNCCPsDOBPlCdkiAHfE\nGB/scc5+HT8fZReMMbaGEKYDmNjxj2+205m+WExZ3KiVMGqFw2b+yLfaQgPbmWUOkNl+JM/KUtaV\nA6AXey5WDirYNCsiX/TZxGpc1lUzAAggfxnRwFjefdTKG09M8ivsqph9UR5LI2YXRVdKwG3ZQm0t\nTVt6Lb0SXRg5gqQESsvSxt8qDwz11zBNS1Yw8twrGTOK/4JZS7F8KdsxshKmoCtGavWSrVqpPs1W\nRZc2pZOp8mJfA9RqL+n+alxj12DH1EopWN8TYyUrr6Q/XzEqLSe2X2KsKWVcMU4GiPYRsrsnsHdJ\nnpVd+X5h9UtXGcVYlWcMZOer1Thmc0hW09S4SNtSSwtJCQSygipFXkx4Jd6RG2OJWBErbAD26fi5\nIIRwOYCpAL4M4CMA/gPAAyGEmzvi3DrZueNnb1tqz+uR1hhjTEbqhg/GDVMvw/u+dOaWzoox2z2V\nMmEb2vFzPwBfAPADlJWiDQBOR3l17AwA16x3Tuef+71N5Tunztk/tBtjjEHd8CG46t6vYswuI3DO\np0/Cef9x1pbOkjHbNZUyYevMRzWA/40xfi7G+EKMsTnG+GeUJ2sRwPtCCG9+o24aQvhICOGxEMJj\nbTEdZG2MMdsjdcOH4Kr7v4ZhoxtQVV2FAYP64+xPnojzvuyVNmO2FJUyYVv/Q/wNPX8ZY3wM5c+k\nAUCnjrtz9ay3D/6dq3A06CPGeH2M8cAY44HVIa2QMsaY7Y1uk7X1nAcGDOqPcz5zMvoNyB7raox5\n46iUCdsc8d8sTWck8EsdP8f1ct0de6Q1xhgjUJM1oLyX2kUnfwfr1mykiMgY0ycqRSX6xHr/3QiA\n7Wg4rONn58ra4x0/J7ELhhBqAIwn16eEJEntxST3bBJKEXrd/sROSIXUMYWl2oMs615Qap+djPY6\nwMbvk0WtrRrq+b3E/jkUkge1lxxTfsp91DLuuSYVlqxs8uzJJfJVIqqjQt0Qnpa0XWY9xBSegNhD\nSO1XxPY2UvVIlFe0zSi7KbI/HFNSAqD5LQn1GWuPpSVp1STA9yuje32xPQXB+6RUTZI9phKxH15p\nBVEMDhJlQ5Sq9TsMw5V3fQnDRtXTydrFJ12GGY/MLl+X7VGlnoFZZgn1Ou1neSzZmDJP7JfG8pBH\nMRgGZm939P45FJrSDo0pkXPY/qk9H+mtmK2c2uOO7T+q+jSpM7k3WkaFtRqbWZmHKl5eG7sPm1Tw\nE5V5VipihS3GuABAp4vuMT1/H0JoALB/x/8+1vFzCoAlAHYIIRzR8xyUvUirUd44t9ctPYwxZnum\nbtjgzJM1Y8yWoSImbB18q+PnpSGErh1/QwgDAFwLoA7lOLYpANBhW/VfHcmuDSGMWO+c3QB8p8d1\njTHG9MCTNWO2DirlkyhijH8JIXwf5W09Hgoh/AtAE4C3AhiD8tYe58buXlr/DeAIAKcBmBVCuBvl\nVbVjAQwA8EP7iBpjDMeTNWO2HipphQ0xxv8H4GwAD6K8me7JAFpRtqvaL8Y4q0f6IspbfnwKwGwA\nJ6CsIp0K4N9ijJ/efLk3xpithw1N1r541hWerBlTQVTMClsnMcabANyUI30JwI86/vWdUim7jRMR\nB0g7ohZiaaQC9pX5ekZyWZKsIabSIl/MGFvZ7hRJ0G6hngR0E4siQIgkVLDqqnSQdUmYN7M8KNNh\nKrLIY3ZNykYF5+Yxxk5YYKtos6zOSstXpBOqgGwSnK/aOMsvC8wHgBCIvRazDSNiHQAIjQ3p84U4\nKAxNp02U7VdNOr8hh/1aMjTdviIrb4iyUTZWLPi6wMtGtkfCkJpqXHnHpXKydskp38GMR1/gfR/C\n9kuNX8zWTbRxFEn/J8Hyeez9pLhoY20DhYCFWmHlqBsqolGB6kyUJqwAaZ0J+8Ws+VVlkDSQfirK\nliHfZaqf9Ewm7J/YOJwIYQ4TOMnnJUKgkMNGr9ft/9e/T/YrGmOM2dqpG1aLqx78OoaN4Vt3dE7W\njDGVRcWtsBljjNk01A2rxZW3X4xho+o8WTNmK8MTNmOM2Q7omqyNrkNVtSdrxmxteMJmjDHbOBua\nrF180mWYOfXFLZQ7Y0wWPGHrJEnSQegqaJAF0YrgzTy7mke2MzoLYAV3UMi6wzbAg+iTIdyBobho\ncfp88bwJ2/WeBGqqoGNaNiKwngU5J/XDSEoe8Kp2D88s/hA72ZdIfpM6XraRBAgXRbA6LVtV5+l4\nWYoSXjChR1TCGlEOFFK2QQXRM7IKgwDElSS/Ipg5sLagdtMfSOphaVpEE2prU8cA7S5B88UConME\nsCOWymrQ2y8qfwYlk7Uvnv3feP7ZV/lYo8orkPJiTi0ArfO4lrfbZFBN6lixKV1eTDCg8iDTEgqj\nRtLjxUVLUsekqwoLeGeuG6otk8B46jwCPrZKlwDW14VAQTrs9ECVbR6BAXMEkO8HKsJJ94coRBrU\nlUXklZVXVKIl5tCR5x2XEYsOjDFmG6Vu2GBc+beL9dYdZ/83Zjym7JuNMZWEJ2zGGLMN4smaMdsW\nnrAZY8w2Rt2wwbjqH//BJ2urPFkzZmvEEzZjjNmG6JqsjRaTtXOu9GTNmK0QT9iMMWYbIdNkbaon\na8ZsjVgl2hvK4mMjL6vUmNQKQyhKmL1NaWlTjkyk5+rKLorZsiioVRK7l7ITIurVPGrOuEooGavT\nat2QZFc3MiWTVMUxxDMwS5Oo6pE9Q/YccNWTsF9i6mZlU0StloSSsbQirciiajuhimNtNGlI20JJ\nAi+xyPJA8goAWE6OM1WtsCNLiGWWhLbxVpq0fmyjjllbtRaXvvc6zJyxCIEoMQEgvkaUjOxZwetM\nKo6Jsi6pG8LzQJ6NtTuqkgfQThTtiVDrsvFd9gdmvyYUtKzM2PlKOc4oijGhQMYPqRBn7zOxCwFT\niTLLrFLzcno63UVAKE+p7V8O5XlcR1S1ynaQ1a8qAwLNK7gyOFfZZMQrbMYYs5XTq8Bg1Vpc+t4f\nY8a0uVsod8aYNwJP2IwxZivGkzVjtg/8SdQYY7ZSep+srcGl773OkzVjthE8YTPGmK2QDU3WvnjO\nlZg5Y9EWyp0x5o3GE7ZOYkzbXohgRGafogKMWWC6TMssr0TwNQtGppdU9hhEHCDTioD5rFCrFlUG\nyiolKyLYnT6vKMOsz8sEAwAPNlV2Mex4nqBUKcggwbElZp8igmhZWiU+oc+mypDVb4G0uzx2Vyot\nCUyPK1p4WmI3pYLzS4PT5ZAwGyxRBszaKjBRC7jlTWn5StQPH4Irb7tIfwZ933WYOXMxYiuPQGei\nEhpET/QkMq0IwqdiKnIMEDZ2LIBc9Cdm36ZgQfTqulT8pZ63naRdTSyzVPsiYpekRghF8ozNRLQk\nyWj3pIQX7Hz1Lis2c7Ebg9UvFVMpO0P2jstlrSfeL+p9xvLAykFo5XriGDZjjNmKqB8+BFc9+HUM\nG9MgJms/xoxp87ZQ7owxmwpP2IwxZiuhbthgT9aM2U7xJ1FjjNkK2JA36KXnXefJmjHbMJ6wGWNM\nhbOhydrFJ12GWQtEfJ4xZpvAn0SNMaaCyTJZm/HI7C2UO2PM5uINW2ELISQALgAwAcBcANfFGIW3\nSwUSQlrxwix3wBVOYRBX0JUa0hYsSQu3lmGKMKYcBYQ9DbMuEs/AFE7KhoZaqCgFHFEBsutSJRWE\nCkgoGaldVDG7Okgpiej5zCKI1ReE3RRRWCnoc0GUTa0oG2LBwspc1gOx81F2YlQ9WsXbLVN0URWx\ngPWzOIRbDwWi7FOWRpFYVhWHcfuk0JZWlbWPTNtjJa3C2m5Aus7CGl7nDcMG4wc3fRrDRtahqrq7\nQm31qrW49P03YNarrSjsOAZxGbfCoXkg6nVWNlLdzNScQkVMryv6A+07RIGXR5WnVIBMzS1t+ISt\nEqNQn24LrD+WhMUYv6iwemtJr6qGKq4GDSD9Qe0MQPpOidR5IiygmAKW2YYBfKyRCn6SL7oDgHhn\n5LHn4up30ZZY2Sh7vZV9nxblXmELIVwSQmgNIRzV41e3ArgOwL8D+C6AKSGE7CaUxhhjuqgbOqj3\nydr51ztmzZjtiL58Ej0BwAoA93UeCCEc33F8AYBvAngEwF4or7gZY4zJQd3QQbjq1x/1ZM0Y00Vf\nJmy7Ang2xhjXO3Y2gAjg3THGrwA4GsAyAO/Z+CwaY8z2Q9dkbcQQT9aMMV30ZcI2DMCrPY4dBmBh\njPEhAIgxrgbwEICdNip3xhizHeHJmjFG0RfRQQlAV2xaCKEOwJ4A/tgj3XIA6ejLSoVYU0nbDSIE\niKt4AHqoIUH/IsiR3Y8FxgI8WJSeLwJbafA1CURW1y02N/G0JAg1GZwuA2VNw4JCmY2OOi6FBCxY\nVD0vs4YiQccqIBvMwiWPZY5IywKX81yjwMorh7WNCgSm5SjKlj0DbYtCHAAmJGgXgcC16cDnQGyh\nAKBUk75f+2Cett9iEuhNynHdSB7CW1jdjvH77ojpT89H53eKBEB9Qw2u+vmHMGw4may1rsUXP/xz\nzJixEGl5ROeFs1vbsaD/WEwH8ssxkNWPFEiRsVEE0VNY3xXnUxsr1RaJuEcJa6joiASaS3LYQrF8\nJWIMpEH/QiBB+3qO/s/EAQr23sljG6bqgZEMSpcBs9aTiHYbSDnS9gWx8iXqgb5fMjoy9mWFbQ6A\nyR2qUAA4FUAA8GCPdMMBLO3D9Y0xZptl9JgG/OCa83HRl96OTnHqBidrH/o5Zjw1fwvk1hhTKfRl\nhe3PAC4BcHMI4e6O/y4C+FNnghBCALAfgJlvRCaNMWZb4ahj9sa6de047Mg9AQDXX3M3rvrx+z1Z\nM8b0Sl8mbN8FcDqA0zr+AcB3Y4xz10tzGMorbD/duOwZY8y2xQknT0C/jg1wDztyTxxx1F4oFBIy\nWVvnyZoxpovcE7YY4/IQwoEAzgEwEsCjMcb7eiRrBHAlgN9ufBaNMWbbYMzoegwf8fpG1AMH8li9\n1a3rcPEnf4XnPVkzxnTQJ6eDDhXo//Ty+1sA3NLXTBljzLbI247aS4sGOuicrM14ZoG9A40xXdj8\nvZMkSdk4SVVcgfxVrKxDmC2LyAK7H1OfAQDaiF0LUS0qKx5mF6UUMEzRqSxcmBKJWnkp6xHkUH4K\ntW1WqFoH2RWdpeZmepyqoZRSjVmtrOO2O1QFLNS2VQ1pgXap6bXUsWTUCHo+iPKyuGgJzxdTTQvr\noGRoQzots9fJoyIU9wpV5Bqi3TFFaCzwqdWqXdJl2z4wnbZ6VbrOTzhxH/TrrxWD7W1FXPrxX2Dm\nk/MRAERi8RWEPQ4aiK3TEq7mRnW67VPV9RDRz19emDrG7IgAADnUyazdUDsyYe9TImMFtdYTx5Xd\nXB6VJ4OqTMW4xlSPedTcCmZDl1SpcZy0MdXuGExVL56BWmYpO0IxNqYvIJSfbHcFZVfHlNRiZwDa\nd8jYXr4feT9kFLVucMIWQnhTtktxYozeNMgYs90zZlQ9RjTyyUMnbW1FnPKOSXjuqZfRfW9yY8z2\nTpYVtpegF4U2RMx4D2OM2aY5+og9AWIyvz4Da/rh0KPfAgC4/D9u9qTNGNNFlsnUPPR9wmaMMQbA\nSceOR/9+Gx5yB9b0w7Gn7ofHp7yAu299cjPkzBizNbDB0SPGuNNmyIcxxmyzZPkcuqplDaqqCnjk\nwedx55+fwNSHZm+m3Bljtgb8ubKTkA4MlYGxxGqFBVMDQLIynTYqq6XWdAB5HMbdvUqz56aOsYBK\nZT1CA1tFkCQL1FYBs6zMWABpHuFFaTUP9EzqSZC1CkBn11U2NDWkbMh1ldUKs6xRwarJYPISVwH3\nJOi30MDbHRMY8HTL6HFWXip4mwaKDyCWbADAhDEkqFwFOLMA4ajspoaQeiRB/AAQ2tNWMpu4AAAg\nAElEQVTt9rU9uQhnzfD0Z80C6Q6F1a/X4znHvQVI0ue1rF6LqkKCR6bMxh23P43HHn0RbW0dz15T\njQJposVhQ2i+Ck3pQPxIxAUAt8yLK9LiDwg7NCaAUXZzbFxhfQzgYijWFqRAiokRRN+j+WJjKPhY\nIUVpRAzFxjv5DKzMxZjAbKxUvpi1lLLXYuUg3w8sX3ksrxqHps8nAf8AaDkUiX1jIsYf9t6SZUBE\naVIsx96HShSn2k0GPGEzxphNzOmT90b/jj9cOidpDz4zB3+d8iymPDsXtU+TyZIxxqxHnydsIYRd\nAXwUwMEouxr8KcZ4UcfvJgOYAOB3MUa+94ExxmwHjKyrxbjhDVizrh0PPDsHt/5zOqY8OxdtwrTe\nGGMYfZqwhRA+COBqAJ1rhhHAsPWS1AC4FmUP+p9vTAaNMWZrpqmlFR+46nd46qWFaCsWUbXGGi5j\nTH5yf0wNIRwK4DoAawBcCGAykNq8+z4AywG8fWMzaIwxWzPtxRKmvrAAbXk2HjXGmB70ZYXtIpRX\n1E6KMU4BgNBjb6EYYymE8ASAvTY6h8YYY4wx2zl9mbAdDOCRzslaLywEcGAfrr9lKMW02k3YCVEb\nCqFOZNcI4BYuVIWzhKv9qK0Ky4NStbQQZYxStQibD3pdYn9ClVdtXHFUWpMuL6YGBXpRErG0TGkm\n7E+oqoycXxIKOqYezaMIU9ZY9EOaaqNC7ZY6XSmhmYJOKQ6JYpBZpwEACkSdyNq9svIaQVSxqt2S\nTWeLA7MPect3558uX3j3taljf2tNl/fnf/FBen4VF1NSQhtpt0TRCoDaiQWiBgcAEFVbINZSUnVd\nQ1SEqj8QBX1x/is8X2y8ZOOtsghibVGNX8w+SdkJMaU7UWgC6c9NMq0QUtN8iXvR+4u+T23wlJoz\nqyJUqFfZGKjUmAxVv/S9QTajVmVA60bVOWl3JWFdxsb3ZAhX1RcXL6XHs9AXfWkdgJczpKuFVajG\nGGOMMRtNXyZsiwHsnCHdHgAW9OH6xhhjjDFmPfoyYfsngP1DCPJzZwjhOAC7A7i3j/kyxhhjjDEd\n9GXC9t8ofwq+KYRwfAjdAwRCCEcA+BmAdgA/3PgsGmOMMcZs3+SOMYsxPhxCuAjA9wDcDmAFyvHQ\nZ4QQTkF5P7YA4PMxxqffyMxuUmJMBc1SyxxwC5ZQld2KI65qpceZnU9x0RKaNqlN543a9qjAfBKo\nreximL2VCupMWAA4CdiXVk3kuWTgMwtGFpZZgVhAMYuxcmLyDCQQuFDHLYJYHqSlCSsbZQeU53lJ\n/bD2HFcQKx+ABxMrIUEeyHVZu1WExcRKS7TF9lFpW7d+C9I2NgCwYp9hqWP9X+N1triYbjejiDfV\nuno+Jgyex0KfOZGYxSfL+TMwiy5mdwcAsYG0XdbPiXAD4G1UjTWBBF+zfi6vm8f2p5r0ERXsTtKq\nfsqCzaWQiPV/JnAS27ywsZGKKUQeZGA8yYMMzmf3I4IQFbBfbEk7dySivKiNHqkbgD9vYWNttNaJ\ncY2M+aoeaF1WCUEGa/vZnAT7tMKGGOP3AZwC4DGURQgBQD3KjgfPADgjxviDvlzbGGOMMcZ0p88q\nzhjj7QBuDyE0oixCKACYH2MUem1jjDHGGNMXNnrbjRhjE4CmNyAvxhhjjDGG0Bdrqsk50n4i7/WN\nMcYYY0x3+rLCdn8I4YsxxitUghDCEJSVomcCuKavmdushJDaYV4FpbPgb3lZEqSogujZcRWcmxkS\nOFm+MJmrCyEA3fVelAENjCfBzMq9oEgCUGWwKgvuVbt8E6GI2qW7tDIdiM/EAUmOwFglJKB5EMHI\nLJg4IWIKdb+4JkdwL2m3bCd8ACgtX0GPU1ifYvcSbg+MKBwrYpIO7l+zE3FKABBJd+gnHuvIn16Y\nOhZI1xksAon7r0gnLqwRu+YTV4MoRBqBOB2wXeABIKwlu96vJHUjgvDZWCEdOl4jQhEVvC36ZGZY\n3xFtnKYlwi8ACFVsrBFWBcxVhY2XwoGBlmOOepDOMGRcU3CpSZqSEHQEJi4SIj563WYurEka02MQ\nSyudEtg1lQAmh3CBCfbiirTwAsjn+NCTvogO2gF8L4Tw5xBCavTr2J/tcQBnAZjd55wZY4wxxhgA\nfZuwTQIwA8CpAJ4IIRzc+YsQwucAPAhgFwA3Atj/jcikMcYYY8z2TO4JW4zxWZRN3X8J4E0A7gsh\nfDmE8CcA30d5Be5DMcb3xhjFRlfGGGOMMSYrfVKJxhhXA/hACOEelGPU/rPjV88AeHfHpM4YY4wx\nxrwBbOy2HiMB9EN541wAWAUge2SjMcYYY4zZIH2asIUQhgL4FYCTUJ6kXQTgXACHoxzX9sEY45/e\nsFxuDpKQsshRyj6mHkmUjZVSBzKYsoXYgQDC/oQpJIWFSx4VHlWaCoUTtXAhKj6lAio0Dk0fVIof\nZh0i1FRFomRU6lOqkOyXVublsbEpNHJ1YrEpraBT12Vlnsd2Jw+0HnMor5TSFUzhODRtIRWXcYlm\nqEkr8wJTNwIoDCJWbwP5kFc/dVHqWDJxJE076qH0/Zr2Tat1+63kfbffcqKwJGpQAEiWkb9/ieoa\n4CrzMEjYzZG0TBUflWqTKSGVCpCNYaItMZuy0vJ0GWg1OBkXlVKenS+UlEzpDqW6JH2vtIr0UzG2\ns34uxwSGaB+BqCFZ2Zbvl653VraF+nTfBbhKs7SMqIUV6v3CbB2ZzaIa20k5Kns/anOm0rK+p1TE\nbGzOKBztyz5shwGYBuBkAE8DOCDG+GMAbwPwLZQtqm4KIVwZQti4t4YxxhhjjOmTSvQeADsAuB7A\n5BjjLACIMZZijP8B4AQASwB8EsCUNyqjxhhjjDHbK32ZsLUCODfG+LEYY2p9MMZ4N4AJKE/s9tvI\n/BljjDHGbPf0JYbtgBhjrxvixhgXhRCOA/ClvmXLGGOMMcZ0knvCtqHJ2nrpIoBv5s7RlqJYQmlF\nRoFrDjshFgDKbCwA0Ptr+5NsgbTKQooFhSbCeojaHKkAdBJIy4KRVb5ogLEKuM0a3AsuMJBlwyxJ\nSJ2re8X29PlMXABwQYaEtSURXEshbUmKP3Yck077ykKalgWAByIkAIRdy+Kl6fNra/n5JOhYCWiS\n5vS9+hNLJgBoG5W286l5hddvW136fvXPp9OGEjf4YcKHWCXaOBtrmAUVuMAgiqByZnWUNBDxR6uI\nhibiANVPI7PXErY/zEgrqeP2a5Q2YqMnBAqs/yZKpMH6nrDXYmMjLZtE9H0mphLPQO+vLJVYvtR1\nmRUfKxtR56FAxEXqHclQQpGMYhdlK0nzm0OgJW2/iPWhzkPf7df68knUGGOMMcZsRjb4530I4byO\n/7w5xrhyvf/PRIzxV33KmTHGGGOMAZDtk+gvAEQA/0J5U9zO/8+KJ2zGGGOMMRtBlgnbr1CeoC3v\n8f/GGGOMMWYzsMEJW4zx/b39vzHGGGOM2bRklqiFEOpR3hR3HIC1AKbFGO/bVBnb3MQYEduyWe8w\nqxNmCwOAqlJKy5p5Htj9hbImGZJWTlGVqVBCMjWVUjJSdZCwDgFTLbaly0YpLBnSZoTZ2ORQIjH7\nJXU/pghLGrmqNlc9sPNF2VBbFWV9RtWF2VVikSmmhc0ZVaUxCxkAYUha/RlbmcKKnw9SD5HYVQEA\nmskzDOTPWz13SepYcTSxSQPQb1G63ZRq0vWbrOFqvepX0v0sqvbByjZHG2d9RFFctDh1TKniWH+g\ntkEAHWtUW2L1y9ottYoCuJ1QRkV9+XxeXqGKjPlKQUugqvzBOdSv6rrEmk4p+EutRGEtlK7sOLNl\nKq3lFnIJU3krdSRpH+oZ2NjMlO5KfU/bgupPTKkq+hMtR6WaVvZWGcg0YQshvBPAdQCG9Dj+BIAz\nY4zz+5wDY4wxxhjTKxvc1iOEMAHA/wKoQ9nlYBqAF1GOY9sfwB83ZQaNMcYYY7Z3suzD9nmUV+L+\nF8DoGOMBMcbdABwIYA6AA0IIR226LBpjjDHGbN9kmbAdDuBVAB+OMXZtHR5jnAbgcyhvTn34psme\nMcYYY4zJEsM2GsDfmdE7gPs7fqZ9bLYyAkhQt7CsYAH/KnCR2l0J2w1mwaLEDFkD21XAbYlYaSTK\nBisPpBwis4vJYcmkAlBZwK0MoieBnqGfCMhmz0CSSdECEwdsRKBp13VZkLIKMCZ5o+IRZa9D2p2y\nVAvM0ky0WyYwoOWl9D/M+kyJhZgYgdwfAEoNQ1LHkuVCOEGEAKFEbKH6iTbOrKWU6CCSlpejziSk\nHKnAQIiLmBVP0tjA78WC1YUlGjvO8hVXccstamOlbPTIWFFaJizkyFihLNFY36NB/CqwngnVxFiT\n1KZtmVAUbYmNl6It0TIn+S0o2y82/rC8AojF9PMqoRkdx8m7JBnK22JsSdvVyT3KMgq3gJwiOmW1\nmIEsZ/YH8Br7RYyxeb00xhhjjDFmE2AvUWOMMcaYCifrd6lRIYQj+vL7GOP97LgxxhhjjMlG1gnb\nCR3/GLGX38cc9zDGGGOMMYQsk6l5sHeoMcYYY8wWI4uX6E6bIR9bniRJKQyVso9ZSylbK6bMo1Y+\nECovZusCrhiMK4lySilda9LKvrhOKFKXE2WOsBmhditEkabKlqk8VXkxextZtsyWSahEWV0mTMWn\nrEfYvYTqidYvKS+Aq4Dbly6laak1DFH8SXsdZr/GU9JrKEUpzcPgtHpMWlOxbiaU0NSWSajawoJF\n6WPqGZjCmSg/Az+bKkLDirR6DeB2T0GoudnzMlUcwNXj7LpMDSrvJZSfFGFNRdWUZFxUlllUxaeU\nkIPIWCOsh0rLydgqxkA2huVRibKxUdpYMbUvU20DiEyNrXYRYP0vh8UYU4SqMZ/mQb1P2U4KRJFa\nWs4ts9gOALKfE5S6mY3vbBcDAEDS94+OFh0YY4wxxlQ4nrAZY4wxxlQ4nrAZY4wxxlQ4nrAZY4wx\nxlQ43nKjg1gqpewlqJUPgEACulWQYx5LIhb0r+w80JZOSwOJE26ZxYLKVWB8ELZb9LIkADS2Eyuf\nKmGfwqxHRBnQIGkRrE4FFcIijFJNgpGFwIHa2Cg7IXZQBSOvSpdtob6epqXnqyBYAmsLNIgfPDBd\niRmS4Y3ptEua0umY/ZtCtU9mPbRYiDTI/eJaIYwJaTlBIBZSMYo2zvKrbL+IZVZYnX1MUZY51B6H\ntFHZbpl1mUjLrMtKi5bQtGzMLZKxNVF1ToQAoYqLNKi9nxB00CB60Z8yC8JEwD4TiklrKlJeKjCe\nvh/yWASS8xMlpsp4PiDsBJXYjtiBsbEml6hNCa9IW9L2Wjnep6zv8epN3z9bMmOMMcYYs6XwhM0Y\nY4wxpsLxhM0YY4wxpsLxhM0YY4wxpsLxhM0YY4wxpsKpWJVoCOHbAL7Y8b8XxhgvF+neA+DjAPYF\nUAAwA8DPAVwbo/D4YddBWr2hlDmBKVCEBVQeqAKFWPkAQLE5bY9VaBxKEvIiYAo4qawhSiJmkwQI\nWyeqOOQWQbTMhYonl5UXsw7JoyQiKi9pN0VQbYneX1hmsbaQRz1G1WvCeqi4bFn6msoSidqJcZuz\nyNTU5LmKixbT87NanwGgaltlQ0NtgoRalynCmYI2BKEoY9ZUK3k9MgUthFqXqTSVhROtd1KOSjVJ\nFbRKUUrupRT4zFquUJdWyqp7sTpj6uq8sH6mnoEp+Bl5xkCqLFTXFfZrkSiGlaUiu19WWygA9H0o\nn4GM2UpRSuuS7Xig1K/Mmkq8y6g6mVn+gb9L5PNWZX9vpO7f5zM3ISGESQAuwgZM50MIVwP4NYAD\nATwA4E4AuwP4EYA/hCBmO8YYY4wxWxEVN6EJIfQH8EsAiwD8qZd0ZwP4BICFAPaNMZ4aYzwTwG4A\nngNwJoBPbfocG2OMMcZsWipuwgbg6wD2AvAxAHwHwDKdn0svjjHO6jwYY1yE8idSALjEq2zGGGOM\n2dqpqMlMCGEygC8AuDHG+Jde0u0A4AAA6wD8vufvY4z3AVgAYBSAgzZNbo0xxhhjNg8VIzoIIQxA\n+VPoawA+s4Hk+3X8nB5jVH47jwIY25H2oQ1mIElSwZqxhQdk5oEFM6tgdRZwy+wxACCw4+ReUjjB\nhADqXiTAV9n2sEBcFkBaYlYt4l6qDKQlEc1X2h4nqiBpYjlDA3lFsDsNQM1jASMCgRkqwJhelwTs\nqoBbFtyvgmhZu5U2RSSAvMSsqZQlGylzHaCcbmOFsaN4WmHnQ8nY7uJy3sYZpRw2RxJqLcWTUquk\n/ukyLzalxScAFzPI4H5m8TOUW6pFYlnF2pcKdqdjlWgfdKwSz0DTSms6EnBPxttcQiQlJGBja0sL\nv4ayA2QQ2yxW5rJsB5Dzi2J9iL7LeH9gVmu5rK2Y+Ez0vYSJQkTfzzO+S5FUBipmwgbgWwD2APDu\nGCM3/HudnTt+zu0lzbweaY0xxhhjtkoq4pNoCOEQAJ8FcEuM8f8ynNKpre3tT5TOPzNy/IlqjDHG\nGFN5bPEVthDCQAC/ALACZdXn5rz3RwB8BAAGJOITjDHGGGPMFqYSVti+jfJWHJ+PMb6a8ZzO1bPe\nZlmdq3AykCTGeH2M8cAY44H9Qt83szPGGGOM2ZRs8RU2lPdLKwE4P4Rwfo/f7dnx8+MhhFMBzI4x\nfgjASx3Hx/Vy3R07fr7US5peUYHPNPARPMgxaWhIHxRBhyUS+Kx2vWfH6c7MajdtEnRcGNbI07Lg\naRU4SXadZoGpqmxVIC+D7RROd6wH0E52zi/U88DnrIH8Mq8sYFfs/M+CYAsNPF+lZWl3C+XWABIE\ny8QMYZD4m6fIHRAY1N1C7AJfIkHleRwjlNiFQXf5F4IO1ka1yCLbTvYyX0PJmKBg/UztVMR2+Wdu\nIBDuFGw3fyX+ILv5q5372TMUX1lEk9L7MQcG5ViRI5Cf1rl6hhzQQPy2dLuVYyALghd1Hki8vhrz\n6TisnDCYKIW4F8S1XOAQ15D8Cjcg6hIi3Dyo8IGJxJRbDIOM1wD4u0yMH1nFdgB0/81AJUzYgPJK\n35G9/H6Xjn+db7InOn6+JYQwUChFJ/VIa4wxxhizVbLFP4nGGHeKMQb2D+VtPoCyl2iIMU7sOGc+\ngMcB9APwjp7XDCEcCWAHlF0QpmyeJzHGGGOM2TRs8QnbRnBZx8/vhhB27TwYQhgB4JqO//1OHgN4\nY4wxxphKpFI+ieYmxviHEMK1KNtQPR1CuAtAG4BjAAwBcAvKJvDGGGOMMVs1W+2EDQBijJ8IITwI\n4N9RjoErAJgB4GcArvXqmjHGGGO2BUKMcUvnoSKoSxrjQQNO7naspOyXamtTx5RajynNcl1X2WYw\nyxoyP2WKViCfpRGz45BKOaKAobYdRIEDCCsvYXPEylHZr+SyDmF5Y8pPoRhidS6VkDmslmg9KBur\njOpCVS5MhRdbRVvKoaxj6mRaNsJaRqnaGFQxrMqWtTGihATAVV6svKuF0i2HRVjm+yNf36HKywED\nUsekNVUOVZzMA8sW69M5yoaOd+LvdtrulO0Ys08Saakam4236l4Zxx+VVinlI7lfIsYlZpVWGDYs\nfU1h5UVVvKJ9MIsuqTInaZkiVKrymX2bsv1i73ShdGXvaVbe5Tykr3HnuhunxhgPpCesx9Ycw2aM\nMcYYs13gCZsxxhhjTIXjCZsxxhhjTIXjCZsxxhhjTIWzVatEtxTUCkMFxq9JW/wEEYzMAq1VkDUL\nEI4taZsQGVTOxBBKoMCC6JVlFrM6IsHbUqSRI0CZWbDIgFsSCBzbRWA7C8QlQcdB5IsG7AvLnFzB\nyCwPLBgavVhWZbgmwO3IZHAuCRSXgoysAgMRZB1Jf8pjZ6ZgbXyjr6uC8HMIOpIhaXGRauNYS9qN\nsNdiwgVWtir4O09AdmahCYTAgIwJxabX+PkkoFvaa7FxWJRtsTltC6es7ZgQgLYvFZRO+lmusVmV\nbQ7REitH2vfU+aQc1TPkgb13cgl2yHgnRV4MUWfsPc2sJgHRHnlzTp+bLZkxxhhjjNlSeMJmjDHG\nGFPheMJmjDHGGFPheMJmjDHGGFPheMJmjDHGGFPhWCXaSZKk1DVqNstUWtKWRSlCWVqmDiJqPQCA\nOt6DjbX4AITVirgfsyqh5yurKKqEzK50Uyovenoxex7o+cqSibUFZS3DritUT5mVn+q6rMyVIjUH\nzAZGKvMYA9JKyNIybonE7lUYO5qnXZFWTTPFIsCVm1TxDGHHw5SBSr3G2odS+64V9lgMZmkkbKyo\nJRprX6Ld5rK2Y+OKsB4Lg9JqO1YGylKJIRWW1ek8KNUjux9TRwOgalmmOJb9nLQPOV6yOhdly+pS\nqoCZQnojxwp1L3p/9T4lZcbSatvAbGM7wNu4Uo6zNirfp8JuMgteYTPGGGOMqXA8YTPGGGOMqXA8\nYTPGGGOMqXA8YTPGGGOMqXAsOuikVEoFA+axrMgTFKoCdllwrAy4FzYwWa4JAMngdKC3tLFhQb/E\nMgcAiosWZ8qXDOgm9idMIAFwCxZpbUWCrEHsvVQeaD2I8mK2OcxGCxABxuoZWJ2LAGMW9E+DpFnQ\nskDlKzCBQY5gd2Zdpux1WOBzXL6CpyXIsmViFZWWBS6TY7LvkeDr0F8EKBPLKiaQAMS4ItpobCHX\nzRFYT4OvRUB3VrspACitak0fZHVOxCeAGBNoSo4ab1kQe1LHx0DWliK7pghgp2ImkS/6zlCCEDJW\nyHccs3AiohRl74cqIiQSVk1yrCBEMn7QsYKNMwBtS7lEXko8lsP2a2PwCpsxxhhjTIXjCZsxxhhj\nTIXjCZsxxhhjTIXjCZsxxhhjTIXjCZsxxhhjTIVjlWgHMUaUeqgDqZISyGfRkVHNCXD1mLIjYmom\nllapV5m9VqjiqklGcfFSni+m/mJWLczeB8IiSCnKmL1WrXhepoZax/PAlJOxSP62ESovRKIJy2FN\nJdWJTLEnrpvV/kSpxKiNjFBeUfWYspZharc8tl2kfUShIs7T96h1UOazOUqtR+8lLOyYmlqp7bjC\nUYwfJG+sbKVCm4wrqs2F+rTdVB6otZ2w/WFKSKpihrATUnZzZLxUtoFUob2GqDnV2MzKUbRlVudy\nZwFiAafG4cz2fCIdLRuhBqX9RNprZbTXE/cqkbJVo08e1TR7Z0grLpa39MYCFK+wGWOMMcZUOJ6w\nGWOMMcZUOJ6wGWOMMcZUOJ6wGWOMMcZUOBYddBAKBRSGdA+OzWNNpWwoWOAyC3wEegmkzQgL3pTB\n38QKRwarkiD4MEgEu7P7sUBgZZ/CLIJEQDYN7lVlS8smu3iEWXFRGx0AVeN2TB0rvrKI54sEq5Zy\nCE1y2ZyxtO1CnEACY2XALUEG3BLy2HNRgYEQLVBhDkTwNrkfE+ao67LyknZTzLpIBX8zaztlg0cC\nwJWFHEJ6ZCotbUonU2NCxqB0gIskkoYGni3Wxkk/LzY38/OriMApjyWS0F3RuhTjR2llOuCejVUq\nMD6rYAgAF3SJ8YOJpKR9ErH+knZxBJmHrOQRaeXpIwzVlpnIKk+7F9Z0sk9lwCtsxhhjjDEVjids\nxhhjjDEVjidsxhhjjDEVjidsxhhjjDEVjkUHnZRKqUBJtUM2DaJVu3mTgOpIAjo785C+sAiorq1N\nX5fs3I3imvQxiOBttTM7ewYRVJrUkd20SXCudHBgu0uv4c+wMcGbAHIFkBablqXvLwJbS4uWZE5L\n81DkZUOD80XgcuagfxXczwLjRYAyq3PW7ssXIcdZ+8ghCAn9uJCACmDUdQeko80TsvM/wAUCTJCR\nR7SgnoFfIHuwuhIzMLcF6n6Sx1FAOXSQMSxPn2b5KtTX0/PpM4hxgo5BeVxs2HiNfOMdP58F0Yu0\npM6lOEC5BxCyCuCkyEu1BXYNUjZq/GLtlrUv5toBAGDvvRxjgnqf0vux9zFEe8yoM/EKmzHGGGNM\nheMJmzHGGGNMheMJmzHGGGNMheMJmzHGGGNMheMJmzHGGGNMhWOVaCchpNUmQuWVDCZKSKEIYSoa\nalMCoYARSqTS8hWpY1RhlcPmSFppEIWjskRi5ZA0pBVdpWXcWoYq64SKh6mxlLKX5Uuqx8h1qQ2W\nsGqiNlg5VGJ5bFWUSouplpm6mVnbAELJyNSg4IpjaYnGrsuUwXnKlvUbCOWWyBdVfgq3KGqFw/pD\nHnstVQ/EEim2in4q2j6FlANt4znarVLK07GRqYXBxyCWrxIrQ4WywSModWFpedpuSo2BdFTJYbUU\nqKo2u6pej5fZ6hzg5ctsFpWalJUjHX/AFaVF8n4DgKR/xrrMYSsp1b7KLo6lFX2Sps2jRO6BV9iM\nMcYYYyocT9iMMcYYYyocT9iMMcYYYyocT9iMMcYYYyociw46CSGzPQwLiA4iGDIwgYIQMzCbInXd\n0koSBEvupQJjGcr+hAWxyoB9FgBOAqfDICEOIM+VDGvkaUkws7TiIbZKSWMDT8usuHJYNeWyGCNt\nTgYYs6BwEexaXNpE7kUChIVdTSyS/OYIQFdQ0UCess1hJ6ZEQwwWJC0DiZlAgNhFUXEBkCsAnYpl\nlGUWy68qL1bvhexjBSuD0op031V5kGKZrOOlEC1Q2y4R5E3HZmWZlWMcpfUrAtuzIm3wWlpSxwp1\nQ2ha1qekuIeN7znqkT6vslQj9SvFBaTdsbwWm7mojVqaKXFQDtFBLjaiLXiFzRhjjDGmwvGEzRhj\njDGmwvGEzRhjjDGmwvGEzRhjjDGmwvGEzRhjjDGmwrFKtINYLKbsMIJQWDG1nVTbEBVgGDCA54Eo\nJEtKMUiULdROJIfNkYI9g7KGKYwdnToWV5K0QuXF7G2k7RcpL2nxQ44pVRtV5rL8KuUYUaWVWltp\n0qRE2oJQEVIVoFAcsfZBr6kspNjBHOpGaQHF7HGGpNV6RaE+Y6o0as8DrrZVz8vqtyDUyazdMLsZ\nda8kh+KQPoNKy5TQQvleWkPstarJuKbs6hKiHFe2TsSSSNZZRmWvssHKen+dWK96gjcAACAASURB\nVPSHPHVGFLisLSilPRvDlBpTKUKzonZGkP2kB8raiqLeZQOIjZVod2gn/Z/kQSpl2XtajTWsLQql\na0Js+6RKfCPwCpsxxhhjTIXjCZsxxhhjTIXjCZsxxhhjTIXjCZsxxhhjTIVj0UEHIYSUHUZJCAkK\nJEhaBbZSqyZ2DKDBpskAEYDOgljB7GaENQ2zm1J2UcyiQwRfggkESEC3stwqLlqcOqaCv0GsZdDG\nBQolFqwuAvOpeEMFCBNYsGpBBElTGyxl96LKnCVlFlDsuuqaQrxB70XKJo+lGg1vFvlizyVt0kAE\nP6yPAIjEvUj1aVq2tD9yaPtSIpGMVjwAAHKcjj8AkkHEiov0cxVsH4jdnBKa0PNz9KeeYjAACGt4\n+2TPpcqWjXdSoJCnn7J7MVs4ZVFEBSzcXouJUpSgo0Cs+JQVF+un1DZM1TkTXghBSQg8vzQtqUua\nB1Fe7D2QiPJi5ZhLMKjmD0wQkbEpeYXNGGOMMabC8YTNGGOMMabC8YTNGGOMMabC8YTNGGOMMabC\n8YTNGGOMMabCsUq0g4i02iRU5VDKCYsOak+h7JOY8iqjVQvAFV3K4oOpqdS9mOVMECo+akPD8iXs\npqgSSSiZ8iikmIWKtGUi1ZMQZU9cxe2mWDkqKy9q7aJUS6R9KPsTqoxjqieh1mPtRtqckWswlVn5\nIuR+RNGlrIeoik88Q9I4NH3+smaRrex/u9K6JM8ly4uVgRgTWBuHui55BmU9RBWSq5am0wmVeWk5\nURGyMQVC2aeU8vR8op5XlkjC8i5rWlVn7BkCU6mDqyGTQTWpY8WlTfxepJ9KCypmJybGS/a8UkVc\nk84vU36q8RbMOrGZ9z1WXrGd5ytUk/uxHQ+ETRrt5UqtS6B2iIKeu050XSOHmjp1zT6faYwxxhhj\nNguesBljjDHGVDiesBljjDHGVDiesBljjDHGVDgWHXQQQtBBwj0osWBzYYXBgjKVRQcLQlW2TIFk\nNbamA8VV8GYskoDIoggEZoHHJAAV0FY2qXTKiidP0HAOePB29kDvEtL2OPSaEPZJIjg3j60Kq19V\n3tQ2hzyvFl6wQHEuFGEB7MlgYRdF2j4TPlA7NJEvFTRcWkEChEUQPRWwiPGACiJY4HQeWyhVD0xQ\noYKkc9RvbHotnS8SyK/EI8xqST0vy0OScZwo3yv9XEURwE6D84WghPUnCQvYV3VGxEHFpmXpdGIM\npH1XBfevSdePtIBqSFtTKTuxUksLyVhMX1OJ4oiwRlpAkTauAvZZW+BjqGj3ZAyTwgn2jlOCQSZK\nYSJC9CIKyYBX2IwxxhhjKhxP2IwxxhhjKhxP2IwxxhhjKhxP2IwxxhhjKhxP2IwxxhhjKhyrRDsp\nFJAM7a6iKSnrEGZ7oewmmP2JUAcViPqMWvFAKFuIekypbajNiFIckmeTVlzMcoqpHoVaT1kl0Xsx\nhdJartyk5yuVJ1MtMuWWsOei182hfpUKWqYCFM9Ar8ueSyn7cqipmKJTWSKxthCFKpbBrqvs11BM\nl41STSsFG79uRsWgsnVitl9KNUnqXKnP8tjYRVIMrI3LtkieTbVFagvH+pOCWW4J28A8anCKaIt5\n6oyN2ayNh4JSQhIFrigvlpYdA0Dbh6rfrLaMyo5so1F1xsbcNtLPxS4G7Pw8an9ZD6yNC/tFW1MZ\nY4wxxmzDeMJmjDHGGFPheMJmjDHGGFPheMJmjDHGGFPhWHTQSamE2NNySlmatHDbHAa1phKBiyyI\nntrgQNgUscBHYb9CbYaK2QPFVcB9MqgmdYwF4TI7IwBAG8mXuBc7XhJlm9TWkmM5greJm4gMOibt\nQwXs06BfIVAoLk/bYwUl3mDtjgkMlM1RHlgAuhAz0LQ5BB3sfGUhFZjgRpQty68STtD6zWG1xIQP\noSiegYkslgu7KJYHFXydR8xAYAHVTFwAaKskRomIhgr19SShaLdMoCCETExIoJ6BtTtq3wQ+1oC1\ncfV+aSPigBy2TtKOjNmn5bHXI2OVqlvWp5W4iAl+VN+j92MCBWUVydqHEOZF0haTwYNpWmpdJgRw\nVLSYEa+wGWOMMcZUOJ6wGWOMMcZUOJ6wGWOMMcZUOJ6wGWOM2SIc1/4C/r76f3Fc+wtbOivGVDwW\nHaxPz8BBEdhKd0BWO8ZnDZKEcDpYwQOMaRAsC+5XO1mzQE+RlgXyK9FA1l2cpYODCCDPmlbtvE2D\na3MEWbMAYRmwq3aHJ9D2IQLFmWtFHuEDC5hl6VTaPAHGMgCd9RMiMJBB/MwpgQRpK1Ra1m5U/RYa\nG1LHaD8VghBWjypfLPg6V9mI/hgSEpTNHBx61O2upSZcvfZ2zCgMx2frzuietr0dR7W9iC+uvg8A\ncF7tOViUDO6Wr36xHX9s/S1KCHhHw/kI6/oBbeXd+UP/gUiYm0cO0QIL6B7WshSnts/EpOICjC2t\nQBsKmJvU4Q/Vb8GUqjdluhcL7pduCzn6Q2aUGwgba4o5BD/C+YOJrGIk7wHhqsDGwKQh3W8AIK5J\n30y+R9jYyAQ0SrRAxh/pusFEIUq0lMfpRLz7suAVNmOMMZl4IQzFSvTDbsWlqIlppejE9ldQ6vrv\nV1O/f0tpMfqhhOlVo9AW+AvtjebCtQ/irLZnsTgMwp+q98TDhR2we6kJX1t7L05tm7FZ8mDMG4En\nbMYYYzIRQ8CTyUgUELFPW3pCNrH9VTxVGIXloT+dsE0sLgQATKses8nz2sn9VeNw/sCz8LUBR+Nn\n/Q7A9wYchm/0PwoA8M626ZstH8ZsLP4kaowxJjPTCqNwWGk+JrS9gof7jes6PrK0EqNjC/5etTta\niv0xoZiesE3omrCNTf1u37ZX8G+tU7FbcSkiAp6pGokb+k/C/EL3fdjGFpfjhLaZ2K/4KkbEVahB\nG5aFgZiajMaNxclYWui+D9pfq/dM3evJwkgAQF0k3/6MqVC8wmaMMSYz05JRAID92l/pdrxzRW1a\nYTSerBqFxrgabyo2d/2+Jq7D7qUmrEQ/zC4M63buW9fNw7dX3obWUI1b++2JZ6pGYnL7y7i89XYM\nKXWfVB3aPhentD+PJWEQ7i3shD9X7YF5oQ4nFmfjquab0Vjc8MbmJ7bPBgBMLWy+lT5jNhavsBlj\njMnM/KQOTaEG44qvoa60GsuTcqD/xPZX0YoqzCwMQ2soB31PLL6CeYU9AAD7FBehgIgnC6MQQ+h2\nzUPaXsKXBp+EJ8LIrmMfWPMY3r3uaZzQNgu/779P1/G7q9+Mm8PuqRi4/Yuv4Jvr7sG5rY/jR4MP\nl/k/vm02PrruMSwMg3B1v8kbVxjGbEY8YesFZQcCqhgSRUkUcHGV+AuQqXiUqo3ZaRDFTjKEW2kw\nZY5SwFCFE7OQglDLMDsQYcui1D2ZqRaqJVYPOSzGqGJIqH2pokupvISSKHse+PMmg5kFC2kf2e+u\n7V5Iu2O2P4BQ2zHrIGWpRFDKYJYHZVPEbL+oxRC4IpS1W6UyZX0k1zMIlejG9h2mkGRWUQDwRDIS\nxxbnYN9Vc3F/Vfmz6ITiQjxTPRqxuh/mYTiWtQ7ExOIi/Km4MwBgYnFB+dw4vEuZF9vL48i9hXF4\non0oYvH1+90Wd8a78TT2WLcIMe7edXwpqqhC/PFkB8wrNuCAdfO7jbvrj6HHFV/E54r/wkLU4otD\nTsVrhcFYf+qo7ISYrVJSJ8ZWMq5kVc8D3CpJqbnZ+0G1JaYoTYpCVZ9VeS3GL3r+yhyWaoJYzDZW\nRDF8sDYud1Jg/UlZ5hFlrrKgKolyyIInbMYYY3LxZDIKxxbnYGJpIe7HOOxYWo7G2Iqbq8Z3pXmq\nejT2b1uAUIiIIWBCaTEAYFoyMnW9WUlj6thilH2Ja9Hjj8MYcXT7izi+bTZ2Li3DYKxDAbHr1+vE\nnyGNsRWfKT6C5RiAL1Qfi2UF4QtpTIXiCZsxxphcPNERxzaxVBYR7FdKqz+fqhqNI9e9iF2xDItj\nDXZGM5ZgIOaHIQg9rtcCskrbsZqRrDcZA4CPFR/HWW0z0RQGYmphDJqSGqxFeaXn+OIcjCzxFYy9\n41L0Qwm3JW9CU6hxAPf/b++8w+Oorv/9nl112ZaNK7bBGOzQbTA2HWx6CC2EQOiEEMgvJKRgEiAJ\nAQIktJBAIJAQAt+EmE5oCb2FDjamuIBtsHFvcpVkW5b2/v6YlSxpz5F3cNmVdN7n2Wel2Tszd+bO\nzJ6993zux2lzeMDmOI7jxGJRopy50ol+YSU9U9UMrZ/PSinisyZigg/TwdtuqQUskHISwAeS2bsW\nh65hNcelpjBduvLT0iNZJc2HrQ5a/YW5bkmIhsNq2MC0C8fJEf4jw3Ecx4lNQy/b7qn5DE0t4OOC\nLZuJCWYnu7JEStktLGS3sCC9zoYFbH1CFUkC7yf7ZgRrPVLV9Km384OmyhbclRzK2MSWG1QHx8kV\nedHDJiKFwIHA14CRwFeAEmAR8BZwawjhlVbWPxX4PjAESAKfAHcDt4dgZNJnbISMpMxQYyROawn/\nJtlbVtQvXJy5rxgJmZqVlmltpZQ1bVmUpExLkCEFmb8BNGsry6pFSkoy66UJJLAS24020yyvDOGD\nvjPlfNUawgstsdUSB2iJrQVGIrCyXevcaAnvoiRUW8egta9pn6SdW/O2y86GKo5owbKFU+2mjORv\nzRJJuxbBsNLRzrd1jyjnxjpe9RgsGzxNFGLY66lCIC0p3RReJfmQfhy1ahrH139CZ2r5oK4b9cuW\nNSv2QejBPsyjf4jaeHxiS5BE47UcUvWN76GuTj8GQuP1tICoPjsnKinoVtE4bFqSquUnla9SkH7e\nhiaJ3Q1WYpWpMt5OdaVaikgmy6lfXJnVOYhOhPKssJ6Xmq2bIjSz7ifNAspCE/xY10fLYejW6qDe\nZ3XKM9Cy51OeCdb3ZstrBgxRnUGc54f6vWMICTTLKus7MqHYSmpWbwCJsrLMhVnq3/IiYCMK0p5P\n/z0f+B/RIewEnACcICJXhRB+3XJFEbkNOJ/I/exFYC1wCHArcIiIfDProM1xHMfJig+SfUkB26aW\nAjCeXpllpBcHh1mUUscsulApypdVDJZKKS/L1hxUO5NbF4zh/eKtKQ+17L56JmslyTTpxqCwVF13\n39WfM3r5SzxfugM3dT1kg+rhOLkgX4ZEU8AjwIEhhC1DCEeHEL4VQtgVOBmoBy4TkYOariQiJxAF\na/OBIen1jgcGA5OB44ELNueBOI7jdASWJ0qYkYh6r5ZJMTPoklHmwyZB3IYOhzZwU3JP7u88guJQ\nxzFVH7HH6i94t3QgF/Y6iWrx/DSn/SIhhPWXyjEi8jfgHODvIYRzmiwfC+wBnBVC+EeLdUYCrxAF\nc/3W18tWUdgz7NPthGbLNs6QaCZWt6o6rGLNuaR03WtduOaw3yYaElV3pcw7s+mGRHXUYbs4xDhf\nsYZEtTmTrC56Y39qWe1aUs5BrCHRGMMf5na1a2kDh0Sta1ydGy3OfFgxhkS1uaDMe2QTDYmqxBkS\nVZ5r1rxkWlpHqqpKLSoFShBlPI61IVFR9pXsowd/KWWYUx2ugg0eEjXnvVPu9ThDonY6QSbakKhd\nNrO+sVIPtOeP8azK2yHROM/bTTQkqt1Tz1X/Y1wIYbi6QtP9rK9AnjA+/d6/YYGI9CcK1mqBh1qu\nEEJ4FZgD9AH23gx1dBzHcRzH2SS0lYBtcPq9qZvw7un3icHO0nyvRVnHcRzHcZw2R76IDkxEpA/w\n7fS/jzT5aGD63Z54B2a2KNvKjhIZXbZhjT6so2EOV2kWO9YQjtK1a1npqPvTlG5GF7861GF1DStd\nu5riCHQLlTjd9rGGrLShuGwtVVojW4sw43xpKiBz+ETZhmVpEiqXZC407LFCXXbDZmbbKENT1ja1\nazShKOVAvz40Kx9rOFEblk1YSmqtfRQLGTDaxxq2M4aGM7Zp3btV2VtmqfeTNWyn1cE6j8r9r+3L\nsjnShmWTFZk5bGAMTxn3TrJ75tBSanlmSkVKsRIDECXVIrVsuVq26TXauVs5FT06M2vybH27yjm3\n7KI0pbqa2mI9q5RzY9lgacT53jJTRZShdC2NxRp61J6X1rNZu27ipLug3Y/GvRvL6k1ZHqqNZ4J2\nLRjf8xvyHZXXPWwiUgDcC1QAL4YQnmzycYPRX2uC2IakCvcgcRzHcTLYea9B3PXuVdzy/KX07L9F\nrqvjOCZ5HbABdxBN0TELOH1jb1xEzhORsSIytjYVI6J3HMdx2jQiwimjv8Y1D/+ELlt0oqi0iN88\n8GOSBfo8mY6Ta/I2YBORm4mUofOBQ0II81sUaeg90+WGEQ29cOrssSGEv4YQhocQhhclslc9Oo7j\nOG2bo84+kFNGH0VJWZQWUFCQpO+2vTj36pNyXDPH0cnLgE1Efg/8iMjp4JAQwlSl2Iz0+4BWNrVV\ni7KO4ziOw/8eG8eqqub5TyVlxRx51oHsdcTQHNXKcWzybh42Ebke+BlQCRwcQvjIKLcVkaigFuiq\nKUVFZBbRVCD7hxDeaG2/FQU9wz4Vxzdbps5rBnpyf7GevK0mVFtJ0sr8PVbCrJosqlleqVYvetls\nk6nBnkdNFUPEsczZQCzRgprUbSTsZ11fa447rR008YlBnPnWbIuw7Obp05K0TYx6qYm8RhJ9tnZg\nsRJzjQTjOPMHqsn9RkJ2tvO7mfO4KXNymXM7KsdWbyTcazZS1nbVa0Gbe894BurHaxyDJmDZUHFQ\njDZPGXPJJYqL2WnvwVz71MUUlzWve83KVZy392Usmq0IfdaDOodZnOtDmbfSfK7FsS7U1reEMYqo\nRGuzOG1uWTJmvT72/I4ZWPPDKcdrHUOc70P1uWYdr/Jd8Nyqe9vePGwici1RsLYUOMwK1gBCCLOA\n94Ei4ERlWyOJgrX5RH6kjuM4jtPIpLenMua6x1ld3XwyZM9nc/KRvAnYRORq4GJgGVGwNn49qwD8\nLv1+nYgMarKtXsCf0/9e616ijuM4jsYDNz7Fp+OmU7tmXc+H57M5+UhezMMmIscCv0z/Ow24QESd\n6euTEMK1Df+EEB4WkduB7wMfi8gLrDN/7wI8RmQC7ziO4zgZhBC4+rRb+Nv46ykqXjfc3ZDPNv7l\nSbzz7Ic5rKHjRORLD1vTyW+GA2cZr6+2XDGEcD5wGtHw6EjgCKKg74fACSEEI4nLcRzHcWBFZRVX\nnPQH1qxqniNVUlbMJXed5/OzOXlBXgRsIYR7QgiSxWuUsf6YEMJ+IYQuIYTyEMIeIYTbfCjUcRzH\nyYZJb09lzA1Psrq6ebK557M5+UJeDInmBSFkrc5TVUCGHUgsq5SuiqrNUqop9kVxFKmaAiaWKs5Q\nXkl55vFqqidLoakqp4x20epgqldrFLWbodzUFFnJvr0zyxlqPU3Fl+zaVd+XdgyGrZO+Af03Sf2y\nZZnb1VSAlr1ODCV0slePzO1q55vsVcSmZY6GoThWr33T6i3zWohjy6SpMdXrHkPxZynKlHOT6NRJ\nKaiXte2TMpEYv2+1c2Oq6jQFnaXyVKzS1HNrPROUOliWWVrZB29+hmEH78yOe25HUfq5V1CQpO/A\nXpz7m29yx8/uXW8dpGumvVaozrwWrPtJO19i2Rxlqfa10K5lMKzaYsxCoCpKs66Vjar8Vu5zS0kt\nSeVaMs5BLOWngnU/qM+VLOftz4seNsdxHMfJNSEErvn2Haxa2Vw1WlJezJFnj2KvI3fLUc0cxwM2\nx3Ecx2lkxZIqrjz9Nj2f7Z7z6dm/e45q5nR0PGBzHMdxnCZMemcaY258Ss9ne+RCz2dzcoIHbI7z\nJRmy3zyeWXIXp1/8fq6r0sjpF7/PM0vuYsjIhbmuykbnsNOm8WzVPzjstGmbdD+9B1TzfP1DjL71\nf5t0P05+8+Afn+bT8dOprW05P1tvzv3dKTmsmdNRcdFBAyFkJqEbifFq0rEiAgA9YTbRrZtRB8W+\nREniB93eRrNgSVj2SxpG8raWPGlZpaDUS7Vlsaq1NlO8oVkfRRvO3G6DdUm/wSs4+tzPGDJyIb0H\nVFPWuY5VVYXM+byCCe/04ZVHBzHt40whgXkMK6oy65U+L6F2bbM6SoEi0rBszmIkZAMcdsoURt/2\nGr//wQE8f99XzHKJwkISLa49NXnbEI9oycSn/fhNzvjlx+Y+AT58rQ8/P/rIVstk1EFJUNbEI9Jw\nLYeQlbWZmvSbMJKsm7RZQ2JzCEG/zpV9a+fRtERSRAOxbHAMWydVZGFY+WjCFvVasKzEDOsfDc1O\nSEset9CEE5a4CEWzFEsM0XS9dD7bne9cRVH3JvOzpfPZxr/2Ke8+l2nGowluNBFNHMGPmdyvLE+W\nl6llUysUEUwci0BFpGUJLxKK8MIitVwRZBhiOVUApwnolGcwGN9F1nUQ59woYoQ4tl/Z4gGb084I\nnP6riZz2y4kkk4Gp73fj1Ye2pqqmM2Wd1jJwp0qOPWcC3zz/I2675ACevHuXXFd4o/LEnTvxyqPb\nsnBajEA9Jh/+rxcfvdYk2E2se1gtmGkoGDcCbzy1DZNf70Ll/OxVcF+GxXPKOGfIUdSs3nTH4rQN\nGvLZfvfIT5v5jZaUFXPJnefyvX0vZ9Gc+H6jjvNl8IDNaVec/quJnPnrCSycWcZvz9iHSW/1BJr/\n4qvosYrjz/uIsi4xejXaCCuWlLBiSUm8HpuYfPRab+69Zui6BXF6cTeAmpVFVC/M/pf7l6W+LsGs\nTys22FjbaR9MemcaY657nFN+fiwl5eu68IpKi7jyvgu44OCrqa/z+dmdTY8HbE67oc/AKk69dCK1\naxL88tiRfDFJ/3JfvriUe367F4kWV3+/bZdx+KmfsPt+M+m1dRVlndeydEEp417sy5ibhrN4bnY9\nLoN3X8Khp3/OkAMX0rN/DSVldSyaXc7b/+nPmOt2oWqZHgiMPGE6R549lUFDl1BcWs/ShaVMfq8X\nj9y2C1M/6Mn1T/yHIfvPB2D0ba8x+rbXGtc9a+hJLJjVmdMvfp/TLx7Pz444lI9e69Ns+/0HL+PE\nCz5ktwPm0q13DTUripg9tQsvPziQp/62fVbHFpdnl9/Nh6/14bdnj+I7l49jzyNmUVpex+cTunHX\n5cOZ8FYfSsrqOOOyjznwhC/o1mc1cz/rzL9uGM5rT2zbbFuHnTKF0be+yo3n7cPz927XuHzgLkv5\n1kUT2HGvxWzRZxU1KwpZNKeMCa/35s5fDKO+LhqaKO20luMv+JSRJ8ygZ/9qRALLFpUwdXx3Hrxh\nR6aOj2az7z2gin9OeYLn/jWI359/QLM6bNG7hlNGj2fPr86h+5arqF5eyIQ3e3HfDUOY9kFz9eDh\nZ83gZ39/jxu+M4IFX5RxxmWTGLzHUkIQJrzVmzt/NYJZU/T5+Zz84oEbn2LYIbuy416DGu2rGvxG\nv/ubE/nLL+7PcQ2djoAHbE674YizPqegMPDSfVubwVpTUvXNcwz2O+pzjjpzIh/+rzeT3ulJXW2C\nATsu46tnTWXvI2dzwaHHUznPyJ1pwpHnTGO/Y2fz0Wu9GP9SHxKJwOBhSznhx5MZfvhcfjzyq6yq\natorFRh9x5scfvpnLFtczBtPbcPyxSX06FvNkAPmMXtaBVM/6Mnz9w2mankR+x41kzf/szWfT1gX\nIFQtNybhTLPnV2fzy3tfo7A4xbgX+/PKo9tRXlHLtjsu5sSfTNxkARtAp4pa/vDcf6ipKuSVh7el\nc7c1jDxhOtc8+hw/PexofnTT63TeopZ3nu5HQWGKUSd9waV3vciiI8v5ZKyRZ5hm4C5LufnVZwgB\n3v5Pf+bP6ERZl7X03XYlR583hXuuHJoO2ALXPP4SO++ziElv9+SZ/xtEfV2Cnv2qGXLgAj5+rUdj\nwGbRe8BKbnrmv/ToW8P4l/vwyoPb0LN/NQd8YyZ7fnUOV582inee6Z+x3l5HzWXfY+fy3jN9eOov\n2zJg1xr2OmI22w9bzLl7Hs+KJUrilZNXtOo3euYBjH9lkprP5jgbEw/YnHbDzvssBuCDl3t9qfVf\nfOgr/PsvQ6ld2nzSzGEHz+Xqf7/IKaPHc+tF+693O/dfvzO3/mg4qdS6gFCSCY44axoX3v42x5w3\nhQdv2rnxsyPPnsrhp3/Gp2O7c8mxh7Fq9bqgMJFI0bVnVJ8GkcG+R83krf8OaFV00JQu3Vdzyd1v\nkCwIXPL1o/j4zS0bPwtr1tCjb/az4QMMOWABp/+yiRl2kxy2sS/045Oxzc//dkOW8J+/b8+fLtyH\nEKL5zt9/uS8//+trXP/U00x8swcXHXYoa9dE23nhXwO56aUXOPFHH3LVmYe3WpfDTvuc4tJ6rjhp\nJG89tVWzzzp1XcOamugRt83Oy9h5n0W88eRW/OaUg5qVEwmUla1/qvEf/eFNevSt4Z4rhnLf9bs2\nLn/qr4u48fnnuOgvr3PGTiewurr5EPF+x83l0iMPYPxLUfCZ6NSJsy8fy8kXfswRZ0zloZt3xcl/\nGvxGr33qYs9nc3KCB2wNJBOZNlKWVZViKWKpnlJLMy2CTEWppu4xLK9Q1KOqJsVSFynHZiqvNEWY\nZU2lKBE3FDOXqIVqqVufqE6Vi7tm2LP06l3JYac2nw6iZlUnHvvbulysJYsiCxspb674Gf/OYL6Y\nNJY9Rs1spliTRNpsJSHNFEELZyr2XPUpnvn7QL537Tj2OGQuD9ywY/RBfYrjvjcZgD+eP4LqygRS\nsk6dVF8PlXNLgBSsXduoqAxr6wir12QoERuUq1Ja2ng9H/adaZRXrOXft36FD5/rAjQ5hpJiFi/o\nAi1FTsp1E9J5OkMPXMjQA/VpQ6qXF2UEbKurC7jzshGEsO48vfLoIC687XU6d6vlz6OHNwZrABPe\n6MX8GZ3YbufKZsrF0NDeIusUfhK1QW19WUabr1xcB0R1blDTrVkJqZqazHqHskblcuO9HELjeejR\nt5rhh8xlwcxyHrh++2b3z8Q3uvHyQwM59JTP2f/YmbxwXzRcmyiNes5eyZENtQAAIABJREFUfXRb\nPho3mGS60zfUruW/dw3i5As/ZvthC6G+PpYFnYmmaDWeS5oiVFVzGjZHqjrQspuLoXpU11fuf0vd\nrFoiGedWO971WQ9Nentqq/lsPxz5G1Jam2nny2wbpV6GYlFTHKeqM69vIJatkr4z5XsgjlrY+C5L\nds+cNUFVtKKrYlUbvUSM68v4ztLUyWH1aqWkrrrWbCkB/VrI8jezB2xOh6D31lWccekHzZYtmNW5\nWcAGgYO+MYXDTprMwJ0q6dx1DcmC0Php7ZrsHk7JghRHnTuVUSfOZOsdl1NesZZkct12uvdb90At\nKatj4C7LWTK/hM8+bH1I7suy4x5RcPXes303yvb+ceVO/PM363oITW/LNLM/69JiCBhSqQRLF5VS\nUlbH/OmZ6y+eW8oOIxavty6vPrINXz9/Mr/+53O8/uRAxr/aj0nv9GHejOb+kTMndWHaB105+NRZ\n9B5Qw5tP9GXC692ZMnYL6tauv123Gxr1nEx4s1djTlxTPny1D4ee8jnbDV3SGLA1MOWDTK/VRbOj\nh3mnrsYPMidvaS2f7dyrT+Ivlz+S4xo67RUP2Jx2w9IFJQzYcTlbbJn5C/Oj17fkiIqzAUgkUzy9\n5P8yypx3xRscf96HVM4v4/1XtmLxvHJqV0e3yKEnTqbPNtn9DPrlv15n/6/PZu7nnXjryf4sXVDC\n2nSwd/wFn1JYtO7Xcnn6C7ty7qabqqK8IuqNWDxHn59pU1Nt5Nel6hLUrNA/q69PUFAY1M+a8um4\nHlx01DGcfOF49j9mOod+K+pFnTW1gn/+ZideeWBAtK9Ugp8ffjCn/eIjDjhhDudeF80nV72igOf/\nMYC7r9ozYyizKeVdot69JcaUIg3LO1VkBmDa8TfkTyaS6z9GJ79ozGf7QMlnO+tAxr8+hXefb32+\nQsf5MnjA5rQbJr7dk91GLWD3kfN47t7s8rsaqOhew7HnfMT0yVtw4VHHs6q6+ZfsyOM+zWo7g4dV\nsv/XZ/P+i334xTGjmgkbRAInjp7crHz1smg/3fuuP4fqy1K9POry79GvhhkT258qcfLY3lx+6lcp\nLKpn0NDFDD9kFseeO5Ff/PMtli8qZvxLkVq2alkRd1y4G3dcuBt9t6tiyMhFHHXe53z9h5/RqXvg\nhnPt/MTqFdEXc7fe+pDIFn1Wpcu1Lv5w2gcrKqu44pQ/ce3jF1Fcuq7NS8qKueSOc/jegVeyaM7S\nHNbQaY+4NZXTbnj+n9tRt1bY/7gZbPWVzNzB1thywAqSycD7r26VEaz12LKKLQdmOh1o9N02yr14\n66l+GSrU7UdUUlLWPLdidU0B0ydUsEWf1Y3Dbq2Rqo9ytuL0zEweF+WUjThibtbrtEXW1iaZ/F5v\n/nntcO64dF8A9jlmjlp27medeObvAxk9ahQ1KwvY56hZrW67Ybh6l30Wkkhm5hMNPTCabmXaB5tm\nWNvJPya9M40xNzyp+I0WcuW9PyBZ4F+vzsbFe9gaCGQk7Vr2SyJacq++Wc1aShTRQnrDGYtSy5br\nZbUEUM0ew9qXgpZkCYbNiGVjpVkwxZlYVUliFSNXNplay/YjKpnwRhSQzJ1Wzpjf7cyZv57A1Q89\ny7Vn7sukt6P8oabJ0w3DVqE+RX1l9Ct47kfR8ew8bDaJ+tWNCs+S8rX8+MaXG4fnmiZAh1Q6aEqt\nszCaPz0adhx6yBKe/Ne6RNQuRYu44Ob31ON47Lbt+ent7/Lj297lkq8dzOrUumtGJNCt1yqWLCgj\nACuWR9vvNWA1FBZm/OKSBlNqkcZz+cKDO3Da6Pc5+rxpvP5ofz5+vYkoYO1aevSrZvGc9U9Xkigp\naXxPdl3XU6cloDcV4YjIOrunJtdHCOlzqiSFS/peaGpFI4rh9k57LWTqe50ah64bqOgSBey1a4qQ\noiJ6D1iJCMyf0Tw5uEufGgqLU1QtU+4TkcZ7avGCLox7qS97HDyXEy6eySN/Xpf7uP2wBRx00nRW\nLinijcf7N94bqTVrG9+bWZc1taxpsNky7HFU2x7D8kbdhnXvKTZD6n1uCK+0Z+PGmKw5UZGZvG0+\nAxU08Zcp3IjxvExp9kes5YHrHmfYqJ0y89kG9uS7lx3PHZfcF5VV2sxKwtewxB+6PZ9hfaQ9s43r\nTiq6ZCxLzV2QWc6yX1LsuSzqF1cqFYghZlC+cxLG+VKtrQzbwFCn3COKuADQbbssYc0GiD88YHPa\nJIVF9Vz975fZZf+F/O3S3Xnk5kh1ee/VOyMSOPUXk/jj/15gyrhufPped1auLKNTRS29t65i91Hz\nAPj49Z6N21u6oJSXHxjAQd/6gtv+9xjvv9yP8i617D5qDmtXFzDtoy0YNGT9PWBTxm7BxHf6sP/R\n07npP48x8Z0+dO25ihEHfcGsKV1YPCfzQfL037djl/0WctjpM7hn4pO89cw2LK8spXufaoYeMJfn\n/rU9916/BwCT3+vF6uoCjv/+RLpssZol86IA8vHbtzfzwVYsKeW67x/KL//2LNc//zLvPbMl0ydU\nUNa5jm2HLKdn/2rO2un4rM/9kP3mcfrPxzX+H5p8EVQvL+Lft++srbZJOPEnExk6ch4TXu/J/Bmd\nWFVdwDY7LWfEEfNYuaSI/94dDY1vu+tSfj3mFaaM68HMTytYMq+Uih6r2efo2RQWpXjwpvVblN3y\n03256dn/cO4VbzNs1GymftCDnv2qOeCYz0mlhN//v30yxBVO+6bV+dnOOpDxL0/inWc/bGULjpM9\nHrA5bY7ConqufvgZdhhWSTIJZ10eTVgZBW3CP6/alZcfGMDR505j6KiFHHTyF5SUR+bvc6d34am7\ntufFB7Zj6jvNfy3d9L29mDe9E6NOmskx50xmeWUJbz+9Nf/43TB+dc+LWdUtlUpw+RlHcNal77Hn\nITM57rsTWDy/nKfv3o4xv9uFOz/4j7KWcMM5+zLu+S352jmfceDXP6ewKMWSBaVMeKsPbz8zoLFk\n1bJirjrjIE675AMOO3UapZ2iHpCX7htoBmwA774wgB/uczgnXTSZ3Q9awB6HzadqaSGzplRw/43x\n/FSH7D+PIfvPUz+b/0WnzRqwPXnn9qxcUsAOe1ayy36LSRakWDSnjCfvGMQjt+3KwlmRAnXq+915\n8Pe7sOv+Cxh+2Bw6da1l+eISpo7fgsdu35Gxz/db777mz+jMBaOO4dRLJjDikJkM2XcuNSuLGPvy\nVtz32x2YMi5TDeq0f1qdn+2u8zhv78tYPC9eiobjaEjDsERHp6KgZ9inonkvgzrXEEa3u9GVrg0d\nmMOUypBPar4+39WGDolqXdbqvEToQyXBGD5ViTEkqs5n16TbvzFY22MRxaXrupxX1yS546Jh/Pdv\n22Wujz6kYA3hJMqVsjGGgNRhHWVoy8KaD0+9HpWueABRuu5TSzOToK35A9VtxpiTy9quOvygXMva\n0AXowz3WdStFGygAMIYutHtKux/MlAptGMkYmlLnFYszJGoNvyjXjTpvVHsYErXuJ2VI0hwSzWJo\n+uSfHZMxP1tdXT0zP5mr+o1a14eGeZ9uoiHRRM/uGcvqYwyJWtvVUO/fOEOi2tBlnCFR47ptOccl\ntDKFkfYcts6Bck8+t+LucSGE4foKTTa5vgKOky9YwVoDah6S4zjOZuCBG5/i03HTqV2z7su7qd+o\n42woPiTaQAgZs2dbv/I1R4Jgzi6tJJuWZe8daM6WrP06U35tqeWwj01D/XVpzcyuzRqt/Dq0fjVL\nuf4borVgbU1Nklsu3I/XnxlMoqtxSWu9QEpPWnpnGYtCtVJf7Xxb+zJ+iaouDsZ2tV+ClguENiO3\n1nNnCU20X7hWr6p6bDF67jTM3gell8DsfYiTZK1ct+Zs+sp50O5TMY5BO+eZcqP0cq19jV5V7Ze7\n1Xug3b/aPWm6nygJ1cm+uu9rasEifRvaZisz80STWgJ8dYykdmWbAFKQ/TNQ6/lreR20Oj/bmQcw\n/tXJvPvcuvnZxFKRar1mlrOM8hyP82y37jPt+8x65qv1Uu6n1Ep9lEHtCTdEbWpvvCZaMtwLtB5+\n6xwktG1YQgLtuWIdg7U8C7yHzcl71hes3Xzhfrz04OAc1c5xHCdiRWUVV55+G2tWNR/mKykr5pK/\nfpee/XzaF+fL4wGbk9d4sOY4Tlti0jvTGHPjU6zKmJ+tiCvH/ICkkqvsONngAZuTt3iw5jhOW+TB\nPz7NlPHTqa1V8tmu/GYOa+a0ZTxgc/ISD9Ycx2mrhBC45tt3sGpl81zSKJ9tf/Y8fNcc1cxpy3jA\n5uQdHqw5jtPWWbHE89mcjYvPw5amorhP2Lffac0X1umKEE2BpylHAYI270u5rhKVOYqaylAMqqq2\namUuKGtupA2c+8pS4WQ9L5AxP1RhUT3XPPpcFKyVxQ/WrDmI1Pl3YpRV9xVj3qmNMieXMd+Yul1F\nOanOCWioTFU1VAzllmldluXcU1a9VIufGPNZWQrLWHMuZYlleaMpcLW5/8BQBlvz4Sn7izV3nnZu\n48ytFseCzmiHTXF9xFGUampQMOatVObI0+p28uijOHn0UZS2nJ/t03lccPi11Ne1OGalbSyVaKJL\n9vPWqXNRxphr1KqDhnpurO8ybV9WvRRFqfZctOZgjFUvZRvWd4Oq/DbqoG3j2aV3+TxsTttiQ4M1\nx3GcfOOBm/7LlPdnZM7PNrAn3738GzmsmdPW8IDNyQs8WHMcpz0SQuDqM//Mqioln+30/dnzsHjW\ncE7HxQM2J+e0Fqyt9mDNcZw2zoolVVxxyp+UfLYiLrn9O/Ts1y1HNXPaEh6wOTllfcHaLT/Z14M1\nx3HaPJPemcaYG55kVXXznrai0kKu/Of3SVrOB46Txq2pGqirI1WZaY6dLVJiCAmUJMfw2Sx9I8o2\nNINiQLWcUo2xLdsNxXJGS6wFkDIlcdlKDtZMezVT+pKSSA16/7PsMMy2m3rp4cGmEbCa1B3HaN4S\nTmjJ19q5MfalJT6LdQxKcq2WSAyQWpFp7WImtqsWLkp9LasVBVM4oZU1koY1El0rMhfGWN86B2rS\nr2V2rSRkW3ZiWhK7LobQz22yu3K81v2k1Nc6XrV94pxHTZQSQ+BgXUtxDOw1myEtqdy6R+oXLMws\n21kvqwqkLKs27X6KI4xJP5sfuOFJho3aiR33GtRoX7Uun+14/vKrh/TkfkOklbIsERWyFZpE+8vu\nOW6JR+JYqmnXndlmmg2dJnAyzpdlAafWSxMoGNvV6mta28UR8rTcz5de03E2gChYe4odhi3wqTsc\nx+kQhBC4+oxbjXy2A9jzMJ+fzbHxgM3Z7Hiw5jhOR2VFZRVXfOtmPZ/tjnPo2d/nZ3N0PGBzNiuN\nOWtasLbKgzXHcdo/k96eypib/qv4jRbym4d+6n6jjooHbM5mo5nAQAvWLhrpwZrjOB2CB295likf\nfKH4jfbm3N+enMOaOfmKB2zOZqHVedYagrWHt89R7RzHcTYvIQSuOecvrFrZvJetpLyYI789kr2+\nOjRHNXPyFbemSlNR0DPsU3F884WWkslSF6qFM3UpIY6yx1LAKSocTSWaqtH3pdmBaMsAVQ2ZqqpS\ni2pqu6LOBVz90NPssMfCjJ611TVJbj5/OC+OGRjVQVP2WTZHmurJsAPR1D0botaBVuyEDMsrFeXY\nLPWZahEWw05M3ZehxkotzVRMm3YvmjWMoS5UlWKaEtKy/YlhTRVHqRbLtqdYscfRVMSWUi2OFU8M\nuyh1G4Y6WVNIaspxy9YpWzUnxFPQqSjXrWYlBpDQns2GMli9d2KcrzjnRiV9XDvtPZhrn7qY4rLm\nda9ZsYpzh13MolmVJHv10KulnQfjWlJVwMq1DJY1ldK+xneGZpMo5ZnXF+hWj9b3nqoejdE26jPb\nanNLQatQX7kkc/WKLlmv79ZUTl5QWFSfdbDmOI7T0Zj09lTGXPd45vxsZUVc9ehoz2dzGvGAzdlk\nFBbVc81jL3iw5jiO0woP3PgUU8ZNz/Qb3a435117ag5r5uQTHrA5m4TGYG34Yn3qDg/WHMdxgPT8\nbKfdwqqVLeZnKy/hyHMOYs9Dds5RzZx8wgM2Z6PTLFhTjdz392DNcRynCSsqq7jipD+wpqaFCKGs\nmItvPZOefZv7jYqI21l1MFx0kCaW6KC8LGOZKSTQEqKVJEkwkqeNJGlNCKAlI1uJ8VqiZSyBg5Ho\nXSirueaJl9RgrdkwqJHoGSupXCtrWfEo+8s6ORjMBHKVGHZPlqBCRUmeThltluzaNWOZlqBsCWhS\nikVPosIQKCzPtMyyCHWZ13Oye+ZEoaYlm3U/qPvKPglfvRbitE0M2y/tnJsWY9p249gBWZZoWSb9\nm9fHysw2t0RLcWzKNGGLam1lCXOUZ6B1n8eyzNKs/EzbwMx2jyNU+9aFX+PknxxJafm6derr6vli\nynx+dPTvqa9L0bNvV664+1ymvT+dmy64p/m+DJtEVXhlCKRU0YBmUWjdT2WZdUgtWKSXjfH9ssHE\nseKLcX2o61vfW8r1+Fz1P7ISHbiXqLPRKCyq55pHsgjWHMdxHJUHb3k28hsdMZCitJI1WZCk7zY9\n+O6vjmP8a59y8Z/OpKS0iKJCFyR0JLw/1dkoNM6z5sGa4zjOl8acn62smCNP2YdL//xtyjqVkEgm\n6L11DxIxen2cto23tLPBtDYprgdrjuM48VixpJorz7o9w2+0uLSIktJ1w8Zra+vot13vzV09J0d4\nwOZsEOsL1m754Z4erDmO48Rk0rufqX6jTQkhMHDn/puxVk4u8YDN+dJkFazdv12Oauc4jtN2SRYk\n2KJ3FxLJTLecBkrLihk0dOvNWCsnl7jooIEQMtRMEvR4NrWoMuvNasqaUKP/YtKsUqRnH7VsWKGo\ntGLY2GiKwziWSIUFayOBwR5GztoPRqR71lK6DZZhXaTaTenuSyqJOOoxTfWEbjOS6NQpc30jdyTE\nUCJpFjsSw9JIqxdA/bJlmWWVc66p/QCS/ftmLAvLlqtlNUsj02qpXnnkxFFHxyDRtSK7fWGoJg1L\nI1UxrLS5peCVGKpHFU05yoZbommqNssizLTzUdDshKzrLltlnqlIDZnn3LJv09on0SlTXQ3Eu0Y1\nqzXtuWYpUguK6NmvG1f+3/9jy216UFxi2O0BiWSCHUbuTN1O4xqXFc7NtJWLKpE5I4QdCmbe01p9\nU8bsCJrK1LyfFCzLLE2Rrs2EEOt7z7g+1PvcaHPV9ivOLARZ4gGbE5tonrVW1KA/GMGLY7bNUe0c\nx3HaNjf++6f02LJrVoKCbQb23Aw1cvIBHxJ1YtHapLgerDmO42w4l53+Z957aSJrVtVSv545yUpL\ni+jc2Zh7zWlXeMDmZM36grVIYODBmuM4zoYwc8p8rjjrL/z4azcwdj2B25o1a9l2kCtFOwIesDlZ\nkVWw5gIDx3GcjcYXn86LArdjbmLsy5PVwK2oMMm2g3rlqIbO5sRz2BpIJDIsPcxkxILMhEbLpkS1\noVFsf0C3A6LaSFxWEhpV0YKSEA4QagwrHIWiTgmufvi5SGBQqgRrP9mXFx8ZBIVAnZLI27VbxjLT\nrmZV9onT1rGpZbURA+MXq5bIn1DsyFKK8AOIZWOVUK4PTYhgIUYCurbdUJt5jWpWQAD1s+dmbtM6\n35rVWozkXO18xUrCt1CuMSsxX7t34tjjaAKWhGFttSks6EC3DjPtk5S6ZftMAf08atcXgCjXhyU6\nssQEGfsy7hFNaGKdA+0+t8QQar02VJRitWNh5j35xafzuOLsvzJg+y05+5Kj2W2/r1BQVEAymaCo\nuJCdduzHY3XvALB8jy3V7WoauooJmQIrgPDFnMxl2n1qtZeSe1e/fIVaVDuL1ndksndmYKo+h43n\nooZ1P6n3qWEraT1HNzbew+a0SmFRPVc//Ew0dYcVrD0wKEe1cxzH6ThEgdud6R63SaxZvZZUKsVX\ndtSDNKd94QGbY+LBmuM4Tv7RELj98Dt/4903p9Gps95j6bQvfEjUUWktWFvjwZrjOE7OmfH5Ii67\n6H4SCXtGNaf94AGbk8H6grWbL9yPFx9wgYHjOE4+kEplTorrtD88YGskZCQUqrM1A6Ikq1pJklpy\nv5lwqy20kjrXGsnEWewfgGSSATsuZdaUClL160bG1zsM+qO9efH+bSBlJG8rxxZWr1aWGYn1WrKo\n4RygHZs1u7zqCLA2+8RlLbF1oyRkK+crYSUza0nsxrlRk/brlfqa4gAlSdoQwKj7t2b51sQmWh0K\n9HtESwq3xBDqzP1GO8QRimjnXE1stwQhJcpM+DEEDtrM7oDqPhCM+0EtqyTyJ6zzEuN8qbPAWxPC\nKknd2nVnnQNtJnzrWtRcFcxryXpeKWiz9Gc7Qz+gi2WM532qOHM6j3n7671tfd7MDOpCsXGN9uye\nuVC7nwxBh/bMT1Z00ctqQiDDSSO1NNPBRRX2xRFuWe442vMuhsOH6RKyAXgOWweluLSOW199givG\nvEgiGd2I2QVr3rPmOI7jOJsbD9g6KCMOn03d2gRDD5zHFWNepLhsrQdrjuM4jpOn+JBoB+WI06ZS\n1inqsh164DzGTH6QwuJ6XWDgwZrjOI7j5BQP2DogxaV17DZy3cSoJWX1UJaZl9MoMLh/m81YO8dx\nHMdxWuJDoh2QEUfMoW5t60nDDcHaSw8O3ky1chzHcRzHwnvYGpEMBYgoakGAoCmRLKWJovhJdMm0\nkAGoX7g4s6yhJFJVS4oqLVVTk7HssFM+payzbQFVuzrBLT/cnef/rzewQldYGrS09wJILVueWc5S\nESpYahvtnIuhXtPUcpoaFIz6aupXy15Ls3AxlMGWylNDO15LvaYqOuNYBCmKMOt8aao2y+JHRVPF\nWupoTd1o2E2pitAYKi/tWgZILV2aWVZVR+ttI9o9bVlTaedGUSGCrmq32ldV23bOfC6lqqr0eimY\nzwnl2IJxuGp9levWUtVqz0tL3aw+s63rQ2sHy3pMmTEg2atHZjnrulXaRrbdWq/Wmsx7r8+b+vWh\n2VBpdlMAYYXS7pqy12gH9d4xlK5SrihzjRkatO8C1ZJRUY6C/j1gXUv694uhXlXa3LKrMpXqWeA9\nbB2M4tI6dj94YatlUvXCAd+Y06gedRzHcRwnt3jA1sEYceR86ta23uwl5fXsdtBCrnz0TQ/aHMdx\nHCcP8ICtg3HE2TMo77L+Cf1KyuvZ82vzOPnnn2yGWjmO4ziO0xqew9aBKC6tY9ghrQ+HrqpKkiwI\nfPZhV565extefXCrzVQ7x3Ecx3EsPGBrIISMpMjUfCNxWktANZI3NZsSy/Iq1GlJqEayuiIw0JKc\nE2VljX/vddwX1NUmKCppPsy5qjpJMhn4fGIPnvnX9rz19ECWV6b3WwChWklQrtCFE1piaZzkTQ2x\n7GI0QUccaxkr2VTZhiZEiGVTorYtSEFmOya7d1PLavZYFqqoQ7tGjWR3rX3Uc2DsSyzRgGW71QLN\n2sbCSjBWt2sIWNR7p7xMKWkkxmvnUUmWt/ZlJj5rQiKrHZRzbiU4awIDtZwlltGupRg2aabNmZIU\nriZvG/tKKefWEoSp16jxXIpzjWkJ6Fp9rWegKnZbros/ClZk7qvrgkz7JoCgJOcnlPUBKFPaXTIt\nr+oXLFJXV58J2jYxxDLG+dasB0Ot0o6GICQOqq2bISQwn3dq4S8/sOkBWwfi8DOmUZYeDm0I0j77\nqBvP3rMtrz+2FVV1PXNcQ8dxHMdxNDxg6yAkC1LsftA86uuEqeO34Om/b8sbj2/Fisp18uuEMWuD\n4ziO4zi5xQO2DkJ9nXD16SOZ/G5PVlSWmENDjuM4juPkHx6wdRiEd552AYHjOI7jtEV8Wg/HcRzH\ncZw8x3vYvgya9ZBhFxNHEVLQu1fGsvrFlfpmFbWKZsti2eOYNkNaWW27mhLKIktFq1WWtUZZRXEY\njCqoKjxNBYSuAlSVapYSSTsGQ/SoqaksFaB2vKYlmmJ7o6keU9WZ1mUWohwW6Goq04pLU1Nq14fV\nNpoSco1xfSjtY50vdXWrHbT6KorlOHZkYqhnVfWqofBUVdMxrKlUey3LRkd7rhmqWFVRapSVTsqx\nKcdl2TqpzyqjrKY4jKP2M+2xFAW9pno2rc80NbjxrEn06J65L+OeljpFrVuZaVdlYV7PWRLWGNZU\niiLUuv/V61m5vqyUH20Wgfpluqo2WdElY5mqAEa/J61jsGYMyAbvYXMcx3Ecx8lzPGBzHMdxHMfJ\nczxgcxzHcRzHyXM8YHMcx3Ecx8lzXHTQQAgZSaSmJZKRPKmRWro0Y5mZvKkkppriACURFyVhVvS8\nVtVCyhICaOch1BnJl1p9leTcYFgiqUnplp2RlohrWYQpyeaW9ZCabK4JHLQ2APV4Vaso0I9BEy2A\nem6sNtMSousrM69FC9VaRrG2AXS7FsM6SKuXJWZQ17fOebaYFlDZPwpV2y5NSGBZNZUr95NhxSUx\nEva1ayFVp1saqcnb2r1niKbU82WJcJTtWs9A7dmqHVccsY1VL1VkYT0DtfvBEorUaPZaisVYHKs5\n63g1gYFheZVamplcb7ZDlt8vlhWglpyfaWxlbzfWM1ARGCR79dDrpZzzhGGDpV1LqviMVoRPCuq9\nl6WGz3vYHMdxHMdx8hwP2BzHcRzHcfIcD9gcx3Ecx3HyHA/YHMdxHMdx8hwP2BzHcRzHcfIcV4k2\nkJAMeynTfklTsBjqNU1VYiqRNIWlZfeiqLfqFZsRSwGjYSnwRLPdMdUymSov1e7FUFipCjrFRgfi\n2QzFQrXHUqyeDIWUhmWPk+2+oh0qStUYFizatWTZ66jKPEslqq1v1StL66BY59ayOVOIpS609qep\nxwoyz41muQOGCtmyatIUZZZyU1EHSqGhAtTaR6lDLIsxixjXuK4iVp4fG7o+hs0Z2ducWUpGrR1U\nBb9hg6WpTFPVhlWTYoNlYijoNTSrxVCdvR2hep9ZbaYoLDXbMIBcR2KdAAAQnUlEQVRk166ZC5Wy\nmiIW9Oveuj40WzZr1gatzeIoXbPFe9gcx3Ecx3HyHA/YHMdxHMdx8hwP2BzHcRzHcfIcD9gcx3Ec\nx3HynHYjOhCRU4HvA0OAJPAJcDdwewhW5v46Qn2K1PLmye1W4nNQkhyDlSeuJCma1laKXZRm8QF6\nwqpmY2MJCRLdumWur+wfoF5Jkk6UGJ5XWVrpWEnpKImtZqK4lmBsJPJqqMnfxnbVpHDdTUi3weqi\nJwenFGsZ83iV5HotiR+gfllm0m2iUyeloGGfpNkvGYnPqm2PZY+jbEMrG0dIYApYFJFEHCsvC1GS\nidVngmFXo7Wveb6U+1+zwYq2kXnvJTrr1516bjQxhXGfW0nhGtpz1FpfFTlox2sl/MewOdMS67GE\nZto1ZtmvaQtrleveskRSno1xxAXW94t6vMb3Q6hS6qu1o/EMVZPzY1zjqiUb+j2lWidqIgBiCtUU\ncY/53a2JUixLNK0OWd5O7aKHTURuA/4FDAdeA54HvgLcCjwsYsiqHMdxHMdx2gBtPpARkROA84H5\nwJAQwtEhhOOBwcBk4HjgghxW0XEcx3EcZ4No8wEbcGn6/eIQwtSGhSGEBURDpACXeC+b4ziO4zht\nlTYdxIhIf2APoBZ4qOXnIYRXgTlAH2DvzVs7x3Ecx3GcjUObDtiA3dPvE0MIVtreey3KOo7jOI7j\ntCnaukp0YPr9i1bKzGxRVkWSiQwljqm2UVQelrVNaoViq2SpRxS1i2kNoyiUNGVOS+VrA6rdk6m8\nylQXmWobze5Fs6uylJAx1GfaeQyW7Yd2bJa6UKtXXQxbJ0X1ZP4yUtpRVZmBegzWdadZJal2U5Yt\nSwzVpNoOxvra/lRVnKHQTinXrXWPqIpQq82V5ZYVl3bOk923yFhmKeg0JXNqlaGaVjI5pMA4BuXc\naucLWnmutMC0hdPuc0txqCj24qi5VeV5DPs263lbX7k0+zooSJl+DrVnbrZWcWZZ69xq979xvCiK\nX9MmUVNeagpaI9NIK2s98+NYF2rPiqCdb0M9r1kfphRLRxNDGax+vxhlLbV9NrT1HraGeQpaMzmr\nSr/HMF1zHMdxHMfJH9p6D9sGISLnAecBlCSUOaocx3Ecx3HygLbew9bQe6aPn0Q0RGIZ/aYhhL+G\nEIaHEIYXJYyJYB3HcRzHcXJMWw/YZqTfB7RSZqsWZR3HcRzHcdoUEoKZ4pz3iMhWRKKCWqCrphQV\nkVlAf2D/EMIbrWxrEevECz2AxRu/xs4mxNusbeHt1fbwNmt7eJu1DQaEEHqur1CbDtgARGQcMAw4\nK4TwjxafjQReIXJB6JeNp2h6vbEhhOEbu67OpsPbrG3h7dX28DZre3ibtS/a+pAowO/S79eJyKCG\nhSLSC/hz+t9rsw3WHMdxHMdx8o02rxINITwsIrcT2VB9LCIvAGuBQ4AuwGNEJvCO4ziO4zhtkjYf\nsAGEEM4XkdeBHwAjgSTwCfB34PYv0bv2141cRWfT423WtvD2ant4m7U9vM3aEW0+h81xHMdxHKe9\n0x5y2BzHcRzHcdo1HrClEZFTReQ1EVkuIlUiMlZEfiBimKU5mwwRKRSRQ0Tk9+l2WCEitSIyR0Qe\nFpFR61nf2zJPEJHfikhIvy5qpZy3WQ4RkVIR+bmIvCciy0SkRkSmi8hDIrKfUj6Rbp+x6fZanm6/\nU3JR/46EiPQXkT+JyKciskpEVovIVBG5Q0S2bWU9v8faOD4kCojIbcD5wGrgRdaJFjoD/wa+6SrT\nzYeIHAo8n/53PjCOyC92J2CX9PKrQgi/Vtb1tswTRGQE8BbRD0MBfhZCuFEp522WQ0RkIPAcMAiY\nB7wD1BFNSL47cGUI4eom5ZPAo8CxwAqiNismarNi4JYQwo835zF0FERkd+AloCswm+jZCDAc6Efk\n/nNECOHNFuv5PdYeCCF06BdwAhCIHlSDmyzvDUxKf/bjXNezI72Ag4GHgQOUz75F9GUSgIO8LfPz\nRfTFPQmYQ/SFEICLlHLeZrltp3JgGpACLgaSLT7vDnylxbLR6XaZCPRusnww0Q+sAByX62Nrjy/g\nzfT5/StQ2GR5IXBX+rMPW6zj91g7eeW8Arl+AWPTF+yZymcjm1zoiVzX1V+N7fK3dLvc5W2Zny/g\nuvT5Pga4p5WAzdsst+30u/Q5/lOW5ZPAgvQ6Byqfn5X+7N1cH1t7ewEl6XMbgC2Vz7ds8nlZk+V+\nj7WTV4ceuxaR/sAeRNZWD7X8PITwKlEPQR9g781bO6cVxqff+zcs8LbMH0RkL6JemDEhhCdbKedt\nlkNEpAg4N/3vTVmutg/QC5gdQvif8vlDRMNtI0Sk34bX0mlCPdHowvqoBlaB32PtjQ4dsBHlZwBM\nDIoPaZr3WpR1cs/g9Pu8Jsu8LfMAESkB/g9YAqwvj8nbLLfsQTTkOSeEMF1EhonIVSLyFxH5jYjs\nr6zT0A7vKZ8RQqghGioF2G3jV7njEkJYS5R/BnCliBQ2fJb++6r0v3eFdPcZfo+1K9rFxLkbwMD0\n+xetlJnZoqyTQ0SkD/Dt9L+PNPnI2zI/uAbYHjg5hLA+02lvs9yya/p9jojcSNQr2pTLROQx4PQQ\nQnV6WbZtthveZpuC84FniHpGjxSRsenlI4BuwB+Bnzcp7/dYO6Kj97B1Sr9Xt1KmKv3eeRPXxVkP\nIlIA3AtUAC+2GG7ztswxIrIv8BPgsRDCA1ms4m2WW7ZIv+9OFKz9kUgp2g04jmio7Ous82QGb7Oc\nEkL4HNgXeJooJeTr6Vc/IgHBa+meuAa8vdoRHT1gc9oWdxBJ0WcBp+e4Lk4TRKSUSFywgqgXwMl/\nGp7/hcC9IYSfhhA+CyEsCyE8QRQIBOAMEdkuZ7V0Gkn/KJpAFFgfB/RMv75OFGg/IiIZ0x057YOO\nHrA1/LIob6VMwy+UlZu4Lk4riMjNwDlE0wYcEkKY36KIt2Vu+S1RbuGFIYR56yucxtsstzQ9p3e2\n/DCEMJZoni8hUhOCt1nOEJGuwGNEPWFfDSE8EUJYnH49DnyVSGxwmYg05Pl6e7UjOnrANiP9PqCV\nMlu1KOtsZkTk98CPgEVEwdpUpdiM9Lu3ZW44nmgur7NE5JWmL6IvEoDvp5f9Lf3/jPS7t1lumG78\nrZXpk36fkX73Ntv8HEXUm/Z2emi0GSGEaUSTHhcAo9KLZ6Tfvb3aAR1ddNAwPcTOIlJqqGhGtCjr\nbEZE5HrgQqASODSEMMko6m2ZexKs64nR2Db96pr+39sstzQ9p92JUg1a0iP93tBT8376fYRSFhEp\nY50bibfZxmXr9PvyVsosS7835Cf6PdaO6NA9bCGEWUQPoCLgxJafi8hIosTO+UQWO85mRESuBX4G\nLAUOCyF8ZJX1tswtIYRtQgiivYim+YDImkpCCLul1/E2yyEhhDlEPTIQ5YY2Q0S6AcPS/zaoEd8i\n6unuLyIHKps9kSgn7r309p2Nx9z0+x5Np/RoIL1sj/S/08HvsfZGhw7Y0vwu/X6diAxqWCgivVin\njro2uM/aZkVEriayyllGFKxl8+vP27Lt4W2WW65Jv/9CRIY3LEzPp3c7kSJ7HOkv8xBCPXB9utjt\n6XZqWGcwcG2L7Tobj6eBGqKetj+ISHHDB+m/byEa3lwKPNtkPb/H2glu/g6IyJ+B7xMZ477AOmPc\nLkRJnt9MP6iczYCIHAs8nv53LOsm4mzJJyGEa5su8LbMP0TkHiLLIsv83dsshzSZg20t8DZR+sGe\nQF+iqT0Oapo3mjZ//zeR7ViD+XshcCiRfdKfQgg/2pzH0FEQkbOIPEOTRD1uDUPUexBZU60hmgPx\nsRbr+T3WDvCALY2InAr8gGgyySTwCfB34Hb/5bF5EZFvA3dnUfTVEMIoZX1vyzxifQFbuoy3WQ4R\nkW8APySak62MaDLVJ4h6XhYp5RNE07ecDexAZJv0EfDnEMKYzVXvjoiIDCOa7/AAoiANosD6ZeAm\nK8/X77G2jwdsjuM4juM4eY7nsDmO4ziO4+Q5HrA5juM4juPkOR6wOY7jOI7j5DkesDmO4ziO4+Q5\nHrA5juM4juPkOR6wOY7jOI7j5DkesDmO4ziO4+Q5HrA5jtNuEJEZIhJavFaLyHQR+YeI7Nai/D3p\nMt/OUZWb1nmbXNXBcZz8pyDXFXAcx9kEPEtkaA2wBTACOAM4RUTOCCHcn7OaOY7jfAnc6cBxnHaD\niMwABhD5X77SZHkpcCdwGpH/5cAQwhIR2ZLI4HxeCGH55q9xszoPDCHMyEUdHMfJf3xI1HGcdk8I\nYRWR+XU1keH1Eenl80IIn+QqWHMcx8kWD9gcx+kQhBBWAlPS/w4APYdNRAaLyAoRqRORA1tuR0R2\nEpFqEVkrIvson+8lIveLyGwRqRWRRSLyhIjsH6e+ItJVRH4rIhNFpCadizdbRF4RkUtjHbzjOG0e\nD9gcx+lIdEm/r7EKhBCmAt8DksAYEenR8JmIlAEPAWXAL0IIbzVdV0RGA28BJxHl0D0OTAOOAl4V\nkXOzqWR6P28AlwI9gBeAf6e3tRNweTbbcRyn/eCiA8dxOgRphejA9L8ftFY2hHCfiIwCzgP+ISJH\nhSjh9zaigOm/wI0ttn9ketlc4BshhHeafLZfep3bROTVEMIUWueb6f38B/h6CKGuybaSwMj1rO84\nTjvDe9gcx2nXiEg3ETkWeJTomfcB8GoWq/4Y+Ag4EviZiJwJfBuYDZwZMhVbV6Tfv9s0WAMIIbwB\nXAUUEvXerY/e6fcXmgZr6W3VhxBeymIbjuO0I7yHzXGc9sjLIqItf5+o9yu1vg2EEFaLyInAOOAa\noBaoB04JIVQ2LZseNt2TSIH6nLHJhiAxI+9N4b30+8Uishh4KoSwLIv1HMdpp3jA5jhOe6TpPGxr\niIYpXwNeVnrGTEIIU0Tk58CfiZ6Xl4cQXleKNgy1dgHqjGCxgZ5Z7PcVEbkeuAj4JxBE5BPgdeCR\nEMKz2R6D4zjtAw/YHMdpj1zbdB62L0s6X+zkJotGiIgoQV8y/b4ceGw9m12czb5DCBeLyB3AccD+\nwH7AucC5IvIccFTL4VLHcdovHrA5juPYXAEcCLwLlANHAxcCv29Rblb6fW0I4dsba+chhOnAH9Mv\n0lOD3AccDnwH+OvG2pfjOPmNiw4cx3EUROQQ4BfAMuBb6VcN8DsR2bNp2RDCHOBjoEdaXbpJSA/H\n3pP+d+im2o/jOPmHB2yO4zgtEJE+wL+InpHnhBBmhBAmAj8iUnreLyJdW6x2Wfr9XhE5XNlmUkQO\nFpG9s9j/8SJyoIgkWiwvBQ5N//tFvKNyHKct4wGb4zhOE9JB0r1EU2vcFkJ4tOGzEMJdwBgikcFd\nTdcLITwOjAb6AM+KyKdph4MxIvISUe7ai8BuWVRjJJGqdL6IPCsi94rIk0RTiuwNfAL8ZQMP1XGc\nNoTnsDmO4zTnl8AhRPO1jVY+/x4wAviGiPwwhHBrwwchhJtE5EXgAmAUcBhQB8wD/gc8STQf3Pq4\nB1hNJDbYhcjtYBmR08F9wF1pqy3HcToIEkPh7jiO4ziO4+QAHxJ1HMdxHMfJczxgcxzHcRzHyXM8\nYHMcx3Ecx8lzPGBzHMdxHMfJczxgcxzHcRzHyXM8YHMcx3Ecx8lzPGBzHMdxHMfJczxgcxzHcRzH\nyXM8YHMcx3Ecx8lzPGBzHMdxHMfJc/4/GS1Zn24qmzQAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff346740610>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(10, 10))\n",
"plt.imshow(cmap_hdu[0].data,origin='lower')\n",
"\n",
"aprops = {'facecolor':'white','edgecolor':'white'}\n",
"\n",
"plt.annotate('', xy=(79, 8), xycoords = 'data',\n",
" xytext = (70, 20), textcoords = 'data',\n",
" arrowprops = aprops)\n",
"plt.text(60, 21, 'Wha?',fontsize=20,color='red')\n",
"\n",
"\n",
"plt.annotate('', xy=(51,51), xycoords = 'data',\n",
" xytext = (60,60), textcoords = 'data',\n",
" arrowprops = aprops)\n",
"plt.text(60, 61, '3C 279',fontsize=20,color='white')\n",
"\n",
"plt.annotate('', xy=(81,88), xycoords = 'data',\n",
" xytext = (70,85), textcoords = 'data',\n",
" arrowprops = aprops)\n",
"plt.text(55, 83, '3C 273',fontsize=20,color='white')\n",
"\n",
"plt.annotate('', xy=(10,5), xycoords = 'data',\n",
" xytext = (20,15), textcoords = 'data',\n",
" arrowprops = {'facecolor':'yellow','edgecolor':'yellow'})\n",
"plt.text(20, 15, 'Galactic Emission',fontsize=20,color='yellow')\n",
"\n",
"plt.text(20, 70, 'Isotropic (extragalactic & local)',fontsize=20,color='yellow')\n",
"\n",
"plt.text(65,110,\"0.1 GeV - 100 GeV\",fontsize=20)\n",
"plt.xlabel('Pixels')\n",
"plt.ylabel('Pixels')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Model for our Sample ROI\n",
"===============================\n",
"\n",
"* Point Sources: $$S(E,\\hat{p},t) = \\sum_i s_i(E,t)\\delta(\\hat{p}-\\hat{p}_i)$$\n",
"* Galactic Diffuse: $$+ S_G(E,\\hat{p})$$ \n",
"* Extragalactic and Residual: $$+ S_{eg}(E,\\hat{p})$$ \n",
"* Other Extended Sources (Optional): $$+ \\sum_l S_l(E,\\hat{p},t)$$ \n",
"\n",
"Example for a power law spectral model\n",
"---------------------------------\n",
"\n",
"$$S(E,\\hat{p},t) = S(E,F_0,\\Gamma,E_0) = F_0(\\frac{E}{E_0})^{-\\Gamma}$$\n",
"\n",
"\n",
"We now have everyhitng we need to perform the maximum likelihood optimization. We have the photons, we have the exposure but we don't have a model. We'll talk about how to build this model in a bit but for now, I'm giving you a sample model definition for the purposes of this analysis. Here's what the file looks like:"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
" <?xml version=\"1.0\" ?>\n",
" <source_library title=\"source library\" xmlns=\"http://fermi.gsfc.nasa.gov/source_library\">\n",
"\n",
" <source name=\"iso_source_v05.txt\" type=\"DiffuseSource\">\n",
" <spectrum file=\"/vagrant/iso_source_v05.txt\" type=\"FileFunction\">\n",
" <parameter free=\"1\" max=\"1000\" min=\"1e-05\" name=\"Normalization\" scale=\"1\" value=\"1\" />\n",
" </spectrum>\n",
" <spatialModel type=\"ConstantValue\">\n",
" <parameter free=\"0\" max=\"10.0\" min=\"0.0\" name=\"Value\" scale=\"1.0\" value=\"1.0\"/>\n",
" </spatialModel>\n",
" </source>\n",
"\n",
" <source name=\"gll_iem_v06.fits\" type=\"DiffuseSource\">\n",
" <spectrum type=\"PowerLaw\">\n",
" <parameter free=\"0\" max=\"1.0\" min=\"-1.0\" name=\"Index\" scale=\"-1.0\" value=\"0.0\"/>\n",
" <parameter free=\"0\" max=\"1000.0\" min=\"1000.0\" name=\"Scale\" scale=\"1.0\" value=\"1000.0\"/>\n",
" <parameter free=\"0\" max=\"10.0\" min=\"0.1\" name=\"Prefactor\" scale=\"1.0\" value=\"1.0\"/>\n",
" </spectrum>\n",
" <spatialModel file=\"/vagrant/gll_iem_v06.fits\" type=\"MapCubeFunction\">\n",
" <parameter free=\"0\" max=\"1000.0\" min=\"0.001\" name=\"Normalization\" scale= \"1.0\" value=\"1.0\"/>\n",
" </spatialModel>\n",
" </source>\n",
"\n",
" <source name=\"3C 273\" type=\"PointSource\">\n",
" <spectrum type=\"PowerLaw\">\n",
" <parameter free=\"1\" max=\"1000.0\" min=\"0.001\" name=\"Prefactor\" scale=\"1e-09\" value=\"10\"/>\n",
" <parameter free=\"1\" max=\"-1.0\" min=\"-5.0\" name=\"Index\" scale=\"1.0\" value=\"-2.1\"/>\n",
" <parameter free=\"0\" max=\"2000.0\" min=\"30.0\" name=\"Scale\" scale=\"1.0\" value=\"100.0\"/>\n",
" </spectrum>\n",
" <spatialModel type=\"SkyDirFunction\">\n",
" <parameter free=\"0\" max=\"360\" min=\"-360\" name=\"RA\" scale=\"1.0\" value=\"187.25\"/>\n",
" <parameter free=\"0\" max=\"90\" min=\"-90\" name=\"DEC\" scale=\"1.0\" value=\"2.17\"/>\n",
" </spatialModel>\n",
" </source>\n",
"\n",
" <source name=\"3C 279\" type=\"PointSource\">\n",
" <spectrum type=\"PowerLaw\">\n",
" <parameter free=\"1\" max=\"1000.0\" min=\"0.001\" name=\"Prefactor\" scale=\"1e-09\" value=\"10\"/>\n",
" <parameter free=\"1\" max=\"-1.0\" min=\"-5.0\" name=\"Index\" scale=\"1.0\" value=\"-2\"/>\n",
" <parameter free=\"0\" max=\"2000.0\" min=\"30.0\" name=\"Scale\" scale=\"1.0\" value=\"100.0\"/>\n",
" </spectrum>\n",
" <spatialModel type=\"SkyDirFunction\">\n",
" <parameter free=\"0\" max=\"360\" min=\"-360\" name=\"RA\" scale=\"1.0\" value=\"193.98\"/>\n",
" <parameter free=\"0\" max=\"90\" min=\"-90\" name=\"DEC\" scale=\"1.0\" value=\"-5.82\"/>\n",
" </spatialModel>\n",
" </source>\n",
"\n",
" </source_library>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The model file is stored in a format called eXtensible Markup Language (XML) which is just a set of rules to encode information in a text file. The model file is our description of what we think the region should look like. You'll hear more about how to create these files later.\n",
"\n",
"You can download this file: [3C_279_input_model.xml](https://raw.github.com/kialio/fermi-summer-school/master/3C279_input_model.xml)\n",
"\n",
"Notice that the model file makes refernce to two files, [iso_P8R2_SOURCE_V6_v06.txt](https://fermi.gsfc.nasa.gov/ssc/data/analysis/software/aux/iso_P8R2_SOURCE_V6_v06.txt) and [gll_iem_v06.fits](https://fermi.gsfc.nasa.gov/ssc/data/analysis/software/aux/gll_iem_v06.fits). These two files describe the extragalactic and galactic diffuse emission respectively. You'll need to download them and put them in the vagrant shared directory (so that they are in /vagrant on the VM). We'll be using these over and over again throughout the week and it's good to keep them in a standard location."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"EGRET_diffuse_cel.fits\n",
"EGRET_diffuse_gal.fits\n",
"gll_iem_v06.fits\n",
"GP_gamma.fits\n",
"GP_gamma_v0r0p1.fits\n",
"iso_clean_back_v05_rev1.txt\n",
"iso_clean_front_v05_rev1.txt\n",
"iso_clean_v05_rev1.txt\n",
"iso_clean_v05.txt\n",
"iso_p7v6clean.txt\n",
"iso_p7v6source.txt\n",
"iso_P8R2_CLEAN_V6_BACK_v06.txt\n",
"iso_P8R2_CLEAN_V6_EDISP0_v06.txt\n",
"iso_P8R2_CLEAN_V6_EDISP1_v06.txt\n",
"iso_P8R2_CLEAN_V6_EDISP2_v06.txt\n",
"iso_P8R2_CLEAN_V6_EDISP3_v06.txt\n",
"iso_P8R2_CLEAN_V6_FRONT_v06.txt\n",
"iso_P8R2_CLEAN_V6_PSF0_v06.txt\n",
"iso_P8R2_CLEAN_V6_PSF1_v06.txt\n",
"iso_P8R2_CLEAN_V6_PSF2_v06.txt\n",
"iso_P8R2_CLEAN_V6_PSF3_v06.txt\n",
"iso_P8R2_CLEAN_V6_v06.txt\n",
"iso_P8R2_SOURCE_V6_BACK_v06.txt\n",
"iso_P8R2_SOURCE_V6_EDISP0_v06.txt\n",
"iso_P8R2_SOURCE_V6_EDISP1_v06.txt\n",
"iso_P8R2_SOURCE_V6_EDISP2_v06.txt\n",
"iso_P8R2_SOURCE_V6_EDISP3_v06.txt\n",
"iso_P8R2_SOURCE_V6_FRONT_v06.txt\n",
"iso_P8R2_SOURCE_V6_PSF0_v06.txt\n",
"iso_P8R2_SOURCE_V6_PSF1_v06.txt\n",
"iso_P8R2_SOURCE_V6_PSF2_v06.txt\n",
"iso_P8R2_SOURCE_V6_PSF3_v06.txt\n",
"iso_P8R2_SOURCE_V6_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_BACK_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_EDISP0_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_EDISP1_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_EDISP2_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_EDISP3_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_FRONT_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_PSF0_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_PSF1_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_PSF2_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_PSF3_v06.txt\n",
"iso_P8R2_TRANSIENT010E_V6_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_BACK_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_EDISP0_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_EDISP1_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_EDISP2_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_EDISP3_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_FRONT_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_PSF0_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_PSF1_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_PSF2_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_PSF3_v06.txt\n",
"iso_P8R2_TRANSIENT010_V6_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_BACK_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_EDISP0_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_EDISP1_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_EDISP2_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_EDISP3_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_FRONT_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_PSF0_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_PSF1_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_PSF2_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_PSF3_v06.txt\n",
"iso_P8R2_TRANSIENT015S_V6_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_BACK_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_EDISP0_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_EDISP1_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_EDISP2_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_EDISP3_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_FRONT_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_PSF0_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_PSF1_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_PSF2_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_PSF3_v06.txt\n",
"iso_P8R2_TRANSIENT020E_V6_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_BACK_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_EDISP0_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_EDISP1_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_EDISP2_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_EDISP3_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_FRONT_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_PSF0_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_PSF1_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_PSF2_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_PSF3_v06.txt\n",
"iso_P8R2_TRANSIENT020_V6_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_BACK_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_EDISP0_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_EDISP1_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_EDISP2_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_EDISP3_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_FRONT_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_PSF0_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_PSF1_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_PSF2_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_PSF3_v06.txt\n",
"iso_P8R2_ULTRACLEAN_V6_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_BACK_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_EDISP0_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_EDISP1_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_EDISP2_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_EDISP3_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_FRONT_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_PSF0_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_PSF1_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_PSF2_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_PSF3_v06.txt\n",
"iso_P8R2_ULTRACLEANVETO_V6_v06.txt\n",
"iso_source_back_v05_rev1.txt\n",
"iso_source_front_v05_rev1.txt\n",
"iso_source_v05_rev1.txt\n",
"iso_source_v05.txt\n",
"isotrop_4years_P7_v9_repro_clean_front_v1.txt\n",
"isotrop_4years_P7_v9_repro_clean_v1.txt\n",
"isotrop_4years_P7_v9_repro_source_v1.txt\n",
"isotropic_iem_back_v02_P6_V11_DIFFUSE.txt\n",
"isotropic_iem_front_v02_P6_V11_DIFFUSE.txt\n",
"isotropic_iem_v02_P6_V11_DIFFUSE.txt\n",
"isotropic_iem_v02.txt\n"
]
}
],
"source": [
"%%bash\n",
"cd /home/oamacias/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/refdata/fermi/galdiffuse/\n",
"ls\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [],
"source": [
"path_galdiff ='~/Downloads/ScienceTools-v11r5p3-fssc-20180124-x86_64-unknown-linux-gnu-libc2.26/x86_64-unknown-linux-gnu-libc2.26/refdata/fermi/galdiffuse'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"\n",
"Notice that these are suspiciously named like they might depend on the event class you're using. You would be right to assume so. Let's take a look at these. The isotropic diffuse model is just a text file:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"isotropic = np.loadtxt('./iso_P8R2_SOURCE_V6_v06.txt')"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(10,10))\n",
"plt.yscale('log')\n",
"plt.xscale('log')\n",
"plt.errorbar(isotropic[:,0],isotropic[:,1],yerr=isotropic[:,2],fmt='.')\n",
"plt.xlabel('Energy [MeV]')\n",
"plt.ylabel('Flux')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The isotropic model is spatially isotropic but is energy dependent. Open up the galactic diffuse:"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [],
"source": [
"gal_diff = pyfits.open(\"gll_iem_v06.fits\")"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Filename: gll_iem_v06.fits\n",
"No. Name Ver Type Cards Dimensions Format\n",
" 0 PRIMARY 1 PrimaryHDU 36 (2880, 1441, 30) float32 \n",
" 1 ENERGIES 1 BinTableHDU 11 30R x 1C [D] \n"
]
}
],
"source": [
"gal_diff.info()"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"from matplotlib.colors import LogNorm"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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