Maintenance will be performed on,,, and on the morning of Tuesday 11th August 2020, starting at approximately 9am PDT. It is expected to take around 20 minutes and there will be a short period of downtime (less than five minutes) towards the end of the maintenance window. Please direct any comments, questions, or concerns to

Commit af4047b6 authored by Chad Hanna's avatar Chad Hanna tighten default snr / chisq distribution for signals

parent ef2e55d2
Pipeline #72346 passed with stages
in 33 minutes and 32 seconds
......@@ -417,7 +417,7 @@ class LnSignalDensity(LnLRDensity):
vtdict = self.horizon_history.functional_integral_dict(window.shift(float(gps)), lambda D: D**3.)
return dict((instrument, (vt / t)**(1./3.)) for instrument, vt in vtdict.items())
def add_signal_model(self, prefactors_range = (0.01, 0.03), df = 100, inv_snr_pow = 4.):
def add_signal_model(self, prefactors_range = (0.001, 0.01), df = 400, inv_snr_pow = 4.):
# normalize to 10 *mi*llion signals. this count makes the
# density estimation code choose a suitable kernel size
inspiral_extrinsics.NumeratorSNRCHIPDF.add_signal_model(self.densities["snr_chi"], 10000000., prefactors_range, df, inv_snr_pow = inv_snr_pow, snr_min = self.snr_min)
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment