GPU-accelerated massive black hole binary parameter estimation with LISA

Understand

The Laser Interferometer Space Antenna (LISA) is slated for launch in the early 2030s.

• A main target of the mission is massive black hole binaries that have an expected detection rate of $\sim20$ yr$^{-1}$.
• We present a parameter estimation analysis for a variety of massive black hole binaries.
• This analysis is performed with a graphics processing unit (GPU) implementation comprising the phenomhm waveform with higher-order harmonic modes and aligned spins; a fast frequency-domain LISA detector response function; and a GPU-native likelihood computation.