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View get_vis_times.ipynb
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View horizon_scanner_dev.ipynb
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View read_uvfits.py
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import numpy as np | |
from astropy.io import fits | |
def make_fits_axis_array(hdu, axis): | |
count = hdu.header[f"NAXIS{axis}"] | |
crval = hdu.header[f"CRVAL{axis}"] | |
cdelt = hdu.header[f"CDELT{axis}"] | |
crpix = hdu.header[f"CRPIX{axis}"] | |
return cdelt * (np.arange(count) - crpix) + crval |
View MWA_Calibration_Imaging_SLURM.sh
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#!/bin/bash -l | |
#SBATCH -J "*:~.✩" | |
#SBATCH --nodes=1 | |
#SBATCH --ntasks-per-node=1 | |
#SBATCH --account=mwaeor | |
#SBATCH --export=NONE | |
#SBATCH --partition=gpuq | |
#SBATCH --cpus-per-task=32 | |
#SBATCH --mem=350G | |
#SBATCH --tmp=500G |
View perfect factorio city grid 24*24*16*16
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View fishies.pyde
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# particle physics simulation of charged particles in a toroidal field with electrostatic repoulsion | |
# (basically all the fish are attracted to an invisible rotating donut, and repelled by each other | |
# assumes all particles of equal mass and charge | |
# constant simulation parameters: | |
# screen size | |
SS = 800 | |
# number of particles | |
NP = 16 |
View Birli_Cotter_PyUVData_Bench.sh
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# Benchmark details: | |
# test was done to/from /tmp mounted in memory to remove disk io variability | |
# - observation: 46GiB, 214-timestep, 768-channel, 128-tile, 0.5s / 40kHz | |
# - virtual machine: 64 cores, 256GB of memory, Nimbus. | |
# - corrections: cable delays, digital gains, pfb passband, geometric delays, | |
# 8x time averaging, 4x frequency averaging, aoflagger disabled because not support | |
# - software versions: | |
# - Birli 0.6.3 | |
# - Cotter 4.6 | |
# - Pyuvdata 2.2.8 on Python 3.8.10 |
View pyuvdata_bscale.ipynb
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View Complex Circuits.md
View ytmusic-notes.md
Just some bash one-liners for using ytmusic
Setup
pip install ytmusicapi pandas tabulate beets
Follow the prompts to store your ytmusic credentials from a python
shell
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