Adds sine gaussian analysis for 150914

tutorials/create_your_own_source_model.py

+#!/bin/python
+"""
+
+"""
+from __future__ import division, print_function
+import tupak
+import numpy as np
+
+tupak.utils.setup_logger()
+
+
+def sine_gaussian(f, A, f0, tau, phi0, geocent_time, ra, dec, psi):
+    arg = -(np.pi * tau * (f-f0))**2 + 1j * phi0
+    plus = np.sqrt(np.pi) * A * tau * np.exp(arg) / 2.
+    cross = plus * np.exp(1j*np.pi/2)
+    return {'plus': plus, 'cross': cross}
+
+
+outdir = 'outdir'
+label = 'GW150914_sine_gaussian'
+time_of_event = 1126259462.422
+
+H1 = tupak.detector.get_interferometer('H1', time_of_event, version=1, outdir=outdir)
+L1 = tupak.detector.get_interferometer('L1', time_of_event, version=1, outdir=outdir)
+interferometers = [H1, L1]
+
+prior = dict()
+prior['A'] = tupak.prior.Uniform(0, 1e-20, 'A')
+prior['f0'] = tupak.prior.Uniform(0, 10, 'f')
+prior['tau'] = tupak.prior.Uniform(0, 10, 'tau')
+prior['geocent_time'] = tupak.prior.Uniform(
+    time_of_event-0.1, time_of_event+0.1, 'geocent_time')
+prior['phi0'] = 0 #tupak.prior.Uniform(0, 2*np.pi, 'phi')
+prior['ra'] = 0
+prior['dec'] = 0
+prior['psi'] = 0
+
+waveform_generator = tupak.waveform_generator.WaveformGenerator(
+    sine_gaussian, H1.sampling_frequency, H1.duration)
+
+likelihood = tupak.likelihood.Likelihood(interferometers, waveform_generator)
+
+result = tupak.sampler.run_sampler(
+    likelihood, prior, sampler='pymultinest', outdir=outdir, label=label,
+    resume=False)
+result.plot_walks()
+result.plot_distributions()
+result.plot_corner()
+print(result)