def chirp_volume_montecarlo(found_d, missed_d, found_mchirp, missed_mchirp,
distribution_param, distribution, limits_param,
min_param, max_param):
assert distribution_param == 'chirp_distance'
assert limits_param == 'chirp_distance'
found_dchirp = chirp_distance(found_d, found_mchirp)
missed_dchirp = chirp_distance(missed_d, missed_mchirp)
# treat chirp distances in MC volume estimate as physical distances
return volume_montecarlo(found_dchirp, missed_dchirp, found_mchirp,
missed_mchirp, 'distance', distribution,
'distance', min_param, max_param)
def chirp_distance(dist, mchirp, ref_mass=1.4):
return conversions.chirp_distance(dist, mchirp, ref_mass=ref_mass)
def chirp_distance(dist, mchirp, ref_mass=1.4):
return conversions.chirp_distance(dist, mchirp, ref_mass=ref_mass)