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Commit 2386bdfb authored by Chad Hanna's avatar Chad Hanna
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inspiral_lr: further tuning of numerator snr chisq

parent 944ead95
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                gstlal-inspiral/python/stats/inspiral_lr.py
                View file @ 2386bdfb
                ......@@ -423,10 +423,10 @@ 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 = (0.001, 0.01), df = 400, inv_snr_pow = 4.):
                def add_signal_model(self, prefactors_range = (0.001, 0.30), df = 200, 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)
                inspiral_extrinsics.NumeratorSNRCHIPDF.add_signal_model(self.densities["snr_chi"], 1e12, prefactors_range, df, inv_snr_pow = inv_snr_pow, snr_min = self.snr_min)
                self.densities["snr_chi"].normalize()
                def candidate_count_model(self, rate = 1000.):
                ......
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