A rapid multi-modal parameter estimation technique for LISA

The Laser Interferometer Space Antenna (LISA) will observe gravitational-wave signals from a wide range of sources, including massive black hole binaries. Although numerous techniques have been developed to perform Bayesian inference for LISA, they are often computationally expensive; analyses often...

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Bibliographic Details
Published inarXiv.org
Main Authors Hoy, Charlie, Connor Weaving, Nuttall, Laura K, Harry, Ian
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 22.08.2024
Subjects
Bayesian analysis
Estimates
Gravitational waves
LISA (antenna)
Multipoles
Parameter estimation
Statistical inference
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Summary:The Laser Interferometer Space Antenna (LISA) will observe gravitational-wave signals from a wide range of sources, including massive black hole binaries. Although numerous techniques have been developed to perform Bayesian inference for LISA, they are often computationally expensive; analyses often take at least \(\sim 1\) month on a single CPU, even when using accelerated techniques. Not only does this make it difficult to concurrently analyse more than one gravitational-wave signal, it also makes it challenging to rapidly produce parameter estimates for possible electromagnetic follow-up campaigns. simple-pe was recently developed to produce rapid parameter estimates for gravitational-wave signals observed with ground-based gravitational-wave detectors. In this work, we extend simple-pe to produce rapid parameter estimates for LISA sources, including the effects of higher order multipole moments. We show that simple-pe infers the source properties of massive black hole binaries in zero-noise at least \(\sim 100\times\) faster than existing techniques; \(\sim 12\) hours on a single CPU. We further demonstrate that simple-pe can be applied before existing Bayesian techniques to mitigate biases in multi-modal parameter estimation analyses of MBHBs.
ISSN:2331-8422