Revert "gstlal_inspiral_compute_dtdphideff_cov_matrix: dont approximate pi,...

Revert "gstlal_inspiral_compute_dtdphideff_cov_matrix: dont approximate pi, change spaces to tabs, fix snr not being stored"

This reverts commit 687a10b3.

gstlal-inspiral/bin/gstlal_inspiral_compute_dtdphideff_cov_matrix

@@ -18,7 +18,6 @@
 import argparse
 import itertools
 import numpy, scipy.interpolate
-import numpy
 from lal import series
 from gstlal import templates
 from ligo.lw import utils as ligolw_utils
@@ -41,8 +40,10 @@ args = parser.parse_args()
 
 if args.flow >= args.fhigh:
 	raise ValueError("flow cannot be greater than fhigh")
+
 refpsd = args.psd_xml
 rho = {"L1": args.L_snr, "H1": args.H_snr, "V1": args.V_snr, "K1": args.K_snr}
+
 instruments = ("H1", "L1", "V1", "K1")
 snr = series.read_psd_xmldoc(ligolw_utils.load_filename(refpsd, verbose = True, contenthandler = series.PSDContentHandler))
 psddict = {}
@@ -62,9 +63,9 @@ sigsqdd = {}
 
 for ifo in rho:
 	sigsqf = moment(args.flow, args.fhigh, 2, args.m1, args.m2, args.s1, args.s2, ifo) - moment(args.flow, args.fhigh, 1, args.m1, args.m2, args.s1, args.s2, ifo)**2
-	sigsqtt[ifo] = (1. / (2 * numpy.pi * rho[ifo] * sigsqf**.5)**2)
+	sigsqtt[ifo] = (1. / (2 * 3.14 * rho[ifo] * sigsqf**.5)**2)
 	sigsqpp[ifo] = moment(args.flow, args.fhigh, 2, args.m1, args.m2, args.s1, args.s2, ifo) / (rho[ifo]**2 * sigsqf)
-	sigsqtp[ifo] = moment(args.flow, args.fhigh, 1, args.m1, args.m2, args.s1, args.s2, ifo) / (2 * numpy.pi * rho[ifo]**2 * sigsqf)
+	sigsqtp[ifo] = moment(args.flow, args.fhigh, 1, args.m1, args.m2, args.s1, args.s2, ifo) / (2 * 3.14 * rho[ifo]**2 * sigsqf)
 	sigsqdd[ifo] = 1. / rho[ifo]**2
 
 transtt = {}
@@ -92,10 +93,10 @@ for pair in pairs:
 	transdd[frozenset(pair)] = 1. / numpy.sqrt(sigsqdd[a] + sigsqdd[b])
 
 f = h5py.File(args.output, "w")
-f.create_dataset("psd", shape = (1,), data=refpsd)
+f.create_dataset("psd", data=args.psd_xml)
 h5_snr = f.create_group("SNR")
 for ifo, snr in rho.items():
-	h5_snr.create_dataset(ifo, data=numpy.array([snr]))
+    h5_snr.create_dataset(ifo, data=snr)
 h5_transtt = f.create_group("transtt")
 h5_transtp = f.create_group("transtp")
 h5_transpt = f.create_group("transpt")