Joseph Long josePhoenix
josePhoenix
/ gal-sim-v1.2.0.rb
Created
July 30, 2015 18:01
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| require "formula" | |
| class GalSim < Formula | |
| homepage "https://github.com/GalSim-developers/GalSim" | |
| url "https://github.com/GalSim-developers/GalSim/archive/v1.2.0.tar.gz" | |
| sha1 "0437b4a55c6a73ad547e5e0ff3643bc0d26134c6" | |
| head "https://github.com/GalSim-developers/GalSim.git" | |
| depends_on "scons" => :build | |
| depends_on "fftw" |
josePhoenix
/ gal-sim-v1.3.0.rb
Created
July 30, 2015 18:05
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| require "formula" | |
| class GalSim < Formula | |
| desc "A modular galaxy image simulation toolkit" | |
| homepage "https://github.com/GalSim-developers/GalSim" | |
| url "https://github.com/GalSim-developers/GalSim/archive/v1.3.0.tar.gz" | |
| sha256 "4afd3284adfd12845b045ea3c8e293b63057c7da57872bc9eecd005cf0a763c0" | |
| head "https://github.com/GalSim-developers/GalSim.git" | |
| depends_on "scons" => :build |
josePhoenix
/ FresnelDemoBeforeAndAfter.ipynb
Created
August 11, 2015 03:05
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josePhoenix
/ Example Masking Astropy Table.ipynb
Created
August 17, 2015 19:41
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josePhoenix
/ calculate_prolate_0_0_pi.m
Last active
September 4, 2015 20:07
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| protable = Table[{r, N[Re[SpheroidalS1[0, 0, \[Pi], r]]]}, {r, -5, 5, 0.01}] | |
| Export["SpheroidalS1_0_0_pi.csv", protable, "CSV"] |
josePhoenix
/ new_colors_origin.ipynb
Last active
October 15, 2015 02:55
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josePhoenix
/ old_colors_origin.ipynb
Created
October 15, 2015 02:38
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josePhoenix
/ multiprocessing_logging_demo.py
Created
November 17, 2015 18:51
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| import sys | |
| import multiprocessing | |
| import logging | |
| import logging.handlers | |
| import datetime | |
| import time | |
| import random | |
| N_PROCESSES = 32 |
josePhoenix
/ bokeh_filter_example.py
Created
November 18, 2015 20:13
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| import numpy as np | |
| from bokeh.io import vform | |
| from bokeh.models import CustomJS, ColumnDataSource, Slider | |
| from bokeh.plotting import figure, output_file, show | |
| output_file("callback.html") | |
| orig_x, orig_y = np.arange(100), np.random.rand(100) | |
| x, y = orig_x.copy(), orig_y.copy() |
josePhoenix
/ test_case_imagegrid.py
Created
December 15, 2015 21:22
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| import matplotlib.pyplot as plt | |
| from mpl_toolkits.axes_grid1 import AxesGrid | |
| def get_demo_image(): | |
| import numpy as np | |
| from matplotlib.cbook import get_sample_data | |
| f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False) | |
| z = np.load(f) | |
| # z is a numpy array of 15x15 | |
| return z, (-3, 4, -4, 3) |