From af58fe36cc0ccd5784e7bb0296753dc13f91175a Mon Sep 17 00:00:00 2001 From: WuShichao Date: Mon, 13 May 2024 15:10:01 +0200 Subject: [PATCH] use BBHx's L_SI --- BBHX_PhenomD.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/BBHX_PhenomD.py b/BBHX_PhenomD.py index 58e7fb8..dbc73c6 100644 --- a/BBHX_PhenomD.py +++ b/BBHX_PhenomD.py @@ -2,7 +2,7 @@ import math import numpy as np from scipy.interpolate import interp1d -from bbhx.utils.constants import MTSUN_SI, YRSID_SI +from bbhx.utils.constants import MTSUN_SI, YRSID_SI, L_SI from bbhx.waveformbuild import BBHWaveformFD from pycbc.coordinates import TIME_OFFSET_20_DEGREES, lisa_to_ssb, ssb_to_lisa @@ -214,9 +214,9 @@ def bbhx_fd(ifos=None, run_phenomd=True, tdi=None, from pycbc.psd.analytical_space import omega_length if sample_points is None: # assume all channels share the same sample_frequencies - omega_len = omega_length(f=output[channel].sample_frequencies, len_arm=2.5e9) + omega_len = omega_length(f=output[channel].sample_frequencies, len_arm=L_SI) else: - omega_len = omega_length(f=sample_points, len_arm=2.5e9) + omega_len = omega_length(f=sample_points, len_arm=L_SI) rescale = 2j*np.sin(2*omega_len)*np.exp(-2j*omega_len) for key in output: output[key] *= rescale