Adds macros for NoiseOnly study and forgotten files

Paper/AllSkyMCNoiseOnly/AllSkyMCNoiseOnly_repeat.sh

+#!/bin/bash
+
+. /home/gregory.ashton/lalsuite-install/etc/lalapps-user-env.sh
+export PATH="/home/gregory.ashton/anaconda2/bin:$PATH"
+export MPLCONFIGDIR=/home/gregory.ashton/.config/matplotlib
+
+for ((n=0;n<90;n++))
+do
+/home/gregory.ashton/anaconda2/bin/python generate_data.py "$1" /local/user/gregory.ashton --no-template-counting --no-interactive
+done
+cp /local/user/gregory.ashton/NoiseOnlyMCResults_"$1".txt $(pwd)/CollectedOutput

Paper/AllSkyMCNoiseOnly/plot_data.py

@@ -38,3 +38,7 @@ ax.set_xlabel('$\widetilde{2\mathcal{F}}$')
 ax.set_xlim(0, 60)
 fig.tight_layout()
 fig.savefig('allsky_noise_twoF_histogram.png')
+
+from latex_macro_generator import write_to_macro
+write_to_macro('AllSkyMCNoiseOnlyMaximum', '{:1.1f}'.format(np.max(df.twoF)),
+               '../macros.tex')

Paper/DirectedMCNoiseOnly/plot_data.py

+import matplotlib.pyplot as plt
+import pandas as pd
+import numpy as np
+import os
+from tqdm import tqdm
+from oct2py import octave
+import glob
+
+filenames = glob.glob("CollectedOutput/*.txt")
+
+plt.style.use('paper')
+
+Tspan = 100 * 86400
+
+
+def maxtwoFinNoise(twoF, Ntrials):
+    F = twoF/2.0
+    alpha = (1 + F)*np.exp(-F)
+    a = Ntrials/2.0*F*np.exp(-F)
+    b = (1 - alpha)**(Ntrials-1)
+    return a*b
+
+
+df_list = []
+for fn in filenames:
+    df = pd.read_csv(
+        fn, sep=' ', names=['dF0', 'dF1', 'twoF', 'runTime'])
+    df['CLUSTER_ID'] = fn.split('_')[1]
+    df_list.append(df)
+df = pd.concat(df_list)
+print 'Number of samples = ', len(df)
+
+fig, ax = plt.subplots()
+ax.hist(df.twoF, bins=50, histtype='step', color='k', normed=True, linewidth=1)
+twoFsmooth = np.linspace(0, df.twoF.max(), 100)
+# ax.plot(twoFsmooth, maxtwoFinNoise(twoFsmooth, 2e3), '-r')
+ax.set_xlabel('$\widetilde{2\mathcal{F}}$')
+ax.set_xlim(0, 60)
+fig.tight_layout()
+fig.savefig('directed_noise_twoF_histogram.png')
+
+from latex_macro_generator import write_to_macro
+write_to_macro('DirectedMCNoiseOnlyMaximum', '{:1.1f}'.format(np.max(df.twoF)),
+               '../macros.tex')

Paper/macros.tex

+\def\DirectedMCNoiseOnlyMaximum{52.4}
+\def\AllSkyMCNoiseOnlyMaximum{59.8}