Jitter time marginalisation

This adds a time_jitter parameter when using time marginalisation. This removes the spikiness in the recovered time posterior.

Closes #373 (closed)

bilby/gw/likelihood.py

@@ -97,7 +97,7 @@ class GravitationalWaveTransient(likelihood.Likelihood):
                  time_marginalization=False, distance_marginalization=False,
                  phase_marginalization=False, priors=None,
                  distance_marginalization_lookup_table=None,
-                 jitter_time=False):
+                 jitter_time=True):
 
         self.waveform_generator = waveform_generator
         likelihood.Likelihood.__init__(self, dict())
@@ -826,7 +826,9 @@ class ROQGravitationalWaveTransient(GravitationalWaveTransient):
             waveform_generator=waveform_generator, priors=priors,
             distance_marginalization=distance_marginalization,
             phase_marginalization=phase_marginalization,
-            distance_marginalization_lookup_table=distance_marginalization_lookup_table)
+            time_marginalization=False,
+            distance_marginalization_lookup_table=distance_marginalization_lookup_table,
+            jitter_time=False)
 
         if isinstance(roq_params, np.ndarray) or roq_params is None:
             self.roq_params = roq_params