Preliminary census of galaxies in the LISA localisation volume: I. Searching for LISA candidate massive black hole binary merger hosts using Sloan Digital Sky Survey photometry
Carolyn L. Drake, Jessie Runnoe, Aaron Stemo, Tamara Bogdanovi\'c, Michael Eracleous, John Ruan, Kaitlyn Szekerczes, Kate Futrowsky, Weixiang Yu

TL;DR
This study develops a framework to identify potential electromagnetic host galaxies for LISA-detected massive black hole binaries using SDSS data, aiding early EM follow-up efforts.
Contribution
It introduces a novel method combining simulated LISA parameters with SDSS photometry to census candidate host galaxies for MBHB mergers.
Findings
Candidate host galaxy numbers range from tens to thousands at 1 hour before coalescence.
Post-coalescence, candidate numbers drop to zero due to survey limitations.
Higher redshift and different sky positions increase candidate counts by about a factor of 2.
Abstract
With the launch of the Laser Interferometer Space Antenna (LISA), we will be able to estimate the sky position, luminosity distance (d), chirp mass, and mass ratio for detected merging massive black hole binary (MBHB) systems. LISA's uncertainties on these estimates will evolve over time, and enable electromagnetic (EM) follow-up observations as early as a month from coalescence. In this paper, we create a framework that takes simulated LISA parameter estimates for sky localisation and d for a MBHB and performs a census of matching EM galaxies, or candidate host galaxies. We used this framework to investigate these parameter estimates for simulated MBHB systems with masses of , , and M at redshifts of and and used these parameters to select matching galaxies from archival Sloan Digital Sky Survey (SDSS)…
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