Johannes Buchner JohannesBuchner

## enumerate-list-demo.rst

      
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                JohannesBuchner
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              August 29, 2015 14:23
            
          
    Enumerated List Bug Demo

First


foo (should be 1.)
bar (should be 2.)

Second

  
## methodchoice.rst

      
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                Method decision tree for parameter estimation and model comparison
              
          
    Method decision tree


Write down your problem mathematically/statistically; stripping out astronomy-specific details from your model (e.g. pre-compute redshifts, weights, etc.)
Ideally, shorten and simplify it down to primitives of math and statistics, which can be implemented in any language.

For the following decision tree, keep in mind that typically, one first thinks

I just want to quickly find the best fit on this.


## photo-panning-video.diascope
format pal quality=1 aspect=4:3 mpeg2sound=ac3 mpeg2=3,192
# later: quality=1 interlaced
set dur=sec
set resize=resize
set title_offset=20%,80% title_area=15%

# http://computoser.com/track/722
# http://computoser.com/track/6340
audio spacy.mp3
#set label=green

## rsyncprogress.py
"""
Progress bar for rsync
========================

Shows file progress and total progress as a progress bar.

Usage
---------
Run rsync with -P and pipe into this program. Example::

## rsync_on_change.sh
while true
do
  rsync -avz ./ user@host:remote/directory/
  inotifywait -r ./
done

## smf-fit.py
import matplotlib.pyplot as plt
import numpy
from numpy import log, exp
import scipy.misc
import scipy.optimize

# see Buchner et al (2015), Appendix A, for details on the method
# http://adsabs.harvard.edu/abs/2015ApJ...802...89B

Nsamples = 1000

## uncertaincolors.py
# based on http://spatial-analyst.net/wiki/index.php?title=Uncertainty_visualization

import numpy
import colorsys
from matplotlib.colors import hsv_to_rgb


def to_rgb(value, error):
	z = value
	f1 = -90 - z*300

## sample_broken_powerlaw.py
import numpy

# Sampling from a broken powerlaw or powerlaw segments

# Reference material:
# http://mathworld.wolfram.com/RandomNumber.html
# The strategy is to draw from each powerlaw segment, and make sure the proportions are right based on the segment integrals

# This code does not work correctly, improvements are welcome

## arxiv-submit.sh
# To submit just at the right time (deadline 14:00 EST),
#
# How to use:
#  - Make sure your clock is synced to https://arxiv.org/localtime
#  - Prepare arxiv submission up to last page, move cursor over submission button
#  - execute below function which will produce a left-button mouse click at 14:00
#  - if too early, unsubmit, fix clock, try again the next day
#
# Hopefully one day arxiv will randomize their submission ordering.

## publish.sh
#!/bin/bash
# Author: Johannes Buchner (C) 2013
# tool for publishing sphinx documentation on github
#      and releasing packages on PyPI

case "$1" in
doc)
	# see https://help.github.com/articles/creating-project-pages-manually
	make -C doc/ html &&
	git checkout gh-pages &&
	format pal quality=1 aspect=4:3 mpeg2sound=ac3 mpeg2=3,192
	# later: quality=1 interlaced
	set dur=sec
	set resize=resize
	set title_offset=20%,80% title_area=15%

	# http://computoser.com/track/722
	# http://computoser.com/track/6340
	audio spacy.mp3
	#set label=green
	"""
	Progress bar for rsync
	========================

	Shows file progress and total progress as a progress bar.

	Usage
	---------
	Run rsync with -P and pipe into this program. Example::
	while true
	do
	rsync -avz ./ user@host:remote/directory/
	inotifywait -r ./
	done
	import matplotlib.pyplot as plt
	import numpy
	from numpy import log, exp
	import scipy.misc
	import scipy.optimize

	# see Buchner et al (2015), Appendix A, for details on the method
	# http://adsabs.harvard.edu/abs/2015ApJ...802...89B

	Nsamples = 1000
	# based on http://spatial-analyst.net/wiki/index.php?title=Uncertainty_visualization

	import numpy
	import colorsys
	from matplotlib.colors import hsv_to_rgb


	def to_rgb(value, error):
	z = value
	f1 = -90 - z*300
	import numpy

	# Sampling from a broken powerlaw or powerlaw segments

	# Reference material:
	# http://mathworld.wolfram.com/RandomNumber.html
	# The strategy is to draw from each powerlaw segment, and make sure the proportions are right based on the segment integrals

	# This code does not work correctly, improvements are welcome
	# To submit just at the right time (deadline 14:00 EST),
	#
	# How to use:
	# - Make sure your clock is synced to https://arxiv.org/localtime
	# - Prepare arxiv submission up to last page, move cursor over submission button
	# - execute below function which will produce a left-button mouse click at 14:00
	# - if too early, unsubmit, fix clock, try again the next day
	#
	# Hopefully one day arxiv will randomize their submission ordering.
	#!/bin/bash
	# Author: Johannes Buchner (C) 2013
	# tool for publishing sphinx documentation on github
	# and releasing packages on PyPI

	case "$1" in
	doc)
	# see https://help.github.com/articles/creating-project-pages-manually
	make -C doc/ html &&
	git checkout gh-pages &&