parity_TPHM.py

def gen(**kwds):
    from pycbc.waveform import get_fd_waveform
    import lal

    if 'approximant' in kwds:
        kwds.pop("approximant")
    hp, hc = get_fd_waveform(approximant="IMRPhenomTPHM", **kwds)

    temp =  kwds['parity_amu'] / 1e9 / lal.QE_SI * lal.H_SI * lal.PI * lal.PI / lal.H0_SI

    hp_parity = hp + hc * temp * hp.sample_frequencies **2
    hc_parity = hc - hp * temp * hp.sample_frequencies **2

    return hp_parity, hc_parity

def imrphenomtphm_length_in_time(**kwargs):
    from pycbc.waveform import waveform
    """Estimates the duration of IMRPhenom waveforms that include higher modes.
    """
    # Default maximum node number for IMRPhenomHM is 4
    # However, the maximum mode number for IMRPhenomTPHM is 5
    # The relevant lower order approximant here is IMRPhenomD
    return waveform.get_hm_length_in_time("IMRPhenomD", 5, **kwargs)