IMRPhenomXPHM
An approximate waveform model describing binary black hole mergers that includes precession effects and higher-order modes and provides analytical expressions in the frequency domain, commonly used for parameter estimation and population studies.
Timeline (last 90 days)
ΦasmaNet is trained on the IMRPhenomXPHM waveform model (precessing, higher-mode binary black hole signals), taking 11-dimensional parameters as input and outputting the phase-averaged optimal SNR for a single detector under fixed Advanced LIGO design sensitivity.
IMRPhenomXPHM is an approximate waveform model for describing binary black hole mergers, including precession effects and higher modes, and gives analytical expressions in the frequency domain.
All Facts (2)
ΦasmaNet is trained on the IMRPhenomXPHM waveform model (precessing, higher-mode binary black hole signals), taking 11-dimensional parameters as input and outputting the phase-averaged optimal SNR for a single detector under fixed Advanced LIGO design sensitivity.
50%UnverifiedIMRPhenomXPHM is an approximate waveform model for describing binary black hole mergers, including precession effects and higher modes, and gives analytical expressions in the frequency domain.
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