Identifying Host Galaxies of Supermassive Black Hole Binaries Found by PTAs
Polina Petrov, Stephen R. Taylor, Maria Charisi, Chung-Pei Ma

TL;DR
This paper develops a pipeline to identify potential host galaxies of supermassive black hole binaries detected by pulsar timing arrays, quantifying localization areas and galaxy counts in ideal and realistic scenarios.
Contribution
It introduces a host galaxy identification pipeline that estimates localization regions and reduces candidate galaxies using GW data and binary parameters.
Findings
Ideal case localization spans 29-241 deg^2 with 14-341 galaxies.
Realistic case localization spans 287-530 deg^2 with 285-1238 galaxies.
Post-cuts, the number of candidate galaxies can be reduced to as few as 1 in ideal scenarios.
Abstract
Supermassive black hole binaries (SMBHBs) present us with exciting opportunities for multi-messenger science. These systems are thought to form naturally in galaxy mergers and therefore have the potential to produce electromagnetic (EM) radiation as well as gravitational waves (GWs) detectable with pulsar timing arrays (PTAs). Once GWs from individually resolved SMBHBs are detected, the identification of the host galaxy will be a major challenge due to the ambiguity in possible EM signatures and the poor localization capability of PTAs. In order to aid EM observations in choosing which sources to follow up, we attempt to quantify the number of plausible hosts in both realistic and idealistic scenarios. We outline a host galaxy identification pipeline that injects a single-source GW signal into a simulated PTA dataset, uses production-level techniques to recover the signal, quantifies…
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Taxonomy
TopicsAstrophysical Phenomena and Observations · Galaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research
