inspiral_lr, inspiral_extrinsics: lower snr threshold to 3.5 to saturate the trigger generator

gstlal-inspiral/python/stats/inspiral_extrinsics.py

@@ -880,7 +880,7 @@ class NumeratorSNRCHIPDF(rate.BinnedLnPDF):
 		self.norm.shape = (len(self.norm), 1)
 
 	@staticmethod
-	def add_signal_model(lnpdf, n, prefactors_range, df, inv_snr_pow = 4., snr_min = 4., progressbar = None):
+	def add_signal_model(lnpdf, n, prefactors_range, df, inv_snr_pow = 4., snr_min = 3.5, progressbar = None):
 		if df <= 0.:
 			raise ValueError("require df >= 0: %s" % repr(df))
 		pfs = numpy.linspace(prefactors_range[0], prefactors_range[1], 100)

gstlal-inspiral/python/stats/inspiral_lr.py

@@ -75,7 +75,7 @@ __all__ = [
 
 class LnLRDensity(snglcoinc.LnLRDensity):
 	# range of SNRs covered by this object
-	snr_min = 4.
+	snr_min = 3.5
 
 	# SNR, \chi^2 binning definition
 	snr_chi_binning = rate.NDBins((rate.ATanLogarithmicBins(2.6, 26., 300), rate.ATanLogarithmicBins(.001, 0.2, 280)))