directly read spin1 and spin2 from sngl_inspiral_table

gstlal-inspiral/python/svd_bank.py

@@ -292,8 +292,8 @@ def cal_higher_f_low(template_bank_url, bank_xmldoc, flow, max_duration):
 	for row in bank_sngl_table:
 		m1_SI = lal.MSUN_SI * row.mass1
 		m2_SI = lal.MSUN_SI * row.mass2
-		spin1 = numpy.dot(row.spin1x**2 + row.spin1y**2 + row.spin1z**2, row.spin1x**2 + row.spin1y**2 + row.spin1z**2)**.5
-		spin2 = numpy.dot(row.spin2x**2 + row.spin2y**2 + row.spin2z**2, row.spin2x**2 + row.spin2y**2 + row.spin2z**2)**.5
+		spin1 = numpy.dot(row.spin1, row.spin1)**.5
+		spin2 = numpy.dot(row.spin2, row.spin2)**.5
 		f_max = min(row.f_final, 2 * chirptime.ringf(lal.MSUN_SI * row.mass1 + lal.MSUN_SI * row.mass2, chirptime.overestimate_j_from_chi(max(spin1, spin2))) if approximant in templates.gstlal_IMR_approximants else spawaveform.ffinal(row.mass1, row.mass2, 'bkl_isco')) 
 
 		time_constrained_f_low.append(scipy.optimize.fsolve(time_freq_bound, x0 = flow, args = (max_duration, m1_SI, m2_SI, spin1, spin2, f_max)))