extreme mass-ratio inspirals 1hierarchical Bayesian inference 1LISA mission 1massive black hole demographics 1population modeling 1
From the 1 of 2 linked papers with an AI index.
2 papers
astro-ph.HE2026
Revealing massive black hole astrophysics: The potential of hierarchical inference with extreme mass-ratio inspiral observations
Shashwat Singh, Christian E. A. Chapman-Bird, Christopher P. L. Berry +1
The paper investigates how observations of extreme mass-ratio inspirals by LISA can be used with hierarchical Bayesian inference to measure massive black hole population properties…
gr-qc2026
Constraints on the extreme mass-ratio inspiral population from LISA data
Shashwat Singh, Christian E. A. Chapman-Bird, Christopher P L Berry +1
Gravitational waves from extreme mass-ratio inspirals (EMRIs), the inspirals of stellar-mass compact objects into massive black holes, are predicted to be observed by the Laser Int…