TY - JOUR
T1 - The hitchhiker’s guide to the galaxy catalog approach for dark siren gravitational-wave cosmology
AU - Gair, Jonathan R.
AU - Ghosh, Archisman
AU - Gray, Rachel
AU - Holz, Daniel E.
AU - Mastrogiovanni, Simone
AU - Mukherjee, Suvodip
AU - Palmese, Antonella
AU - Tamanini, Nicola
AU - Baker, Tessa
AU - Beirnaert, Freija
AU - Bilicki, Maciej
AU - Chen, Hsin Yu
AU - Dálya, Gergely
AU - Ezquiaga, Jose Maria
AU - Farr, Will M.
AU - Fishbach, Maya
AU - Garcia-Bellido, Juan
AU - Ghosh, Tathagata
AU - Huang, Hsiang Yu
AU - Karathanasis, Christos
AU - Leyde, Konstantin
AU - Hernandez, Ignacio Magaña
AU - Noller, Johannes
AU - Pierra, Gregoire
AU - Raffai, Peter
AU - Romano, Antonio Enea
AU - Seglar-Arroyo, Monica
AU - Steer, Danièle A.
AU - Turski, Cezary
AU - Vaccaro, Maria Paola
AU - Vallejo-Peña, Sergio Andrés
N1 - 19 pages, 11 figures. Submitted to ApJ
PY - 2023/6/22
Y1 - 2023/6/22
N2 - We outline the “dark siren” galaxy catalog method for cosmological inference using gravitational wave (GW) standard sirens, clarifying some common misconceptions in the implementation of this method. When a confident transient electromagnetic counterpart to a GW event is unavailable, the identification of a unique host galaxy is in general challenging. Instead, as originally proposed by Schutz, one can consult a galaxy catalog and implement a dark siren statistical approach incorporating all potential host galaxies within the localization volume. Trott & Huterer recently claimed that this approach results in a biased estimate of the Hubble constant, H0, when implemented on mock data, even if optimistic assumptions are made. We demonstrate explicitly that, as previously shown by multiple independent groups, the dark siren statistical method leads to an unbiased posterior when the method is applied to the data correctly. We highlight common sources of error possible to make in the generation of mock data and implementation of the statistical framework, including the mismodeling of selection effects and inconsistent implementations of the Bayesian framework, which can lead to a spurious bias.
AB - We outline the “dark siren” galaxy catalog method for cosmological inference using gravitational wave (GW) standard sirens, clarifying some common misconceptions in the implementation of this method. When a confident transient electromagnetic counterpart to a GW event is unavailable, the identification of a unique host galaxy is in general challenging. Instead, as originally proposed by Schutz, one can consult a galaxy catalog and implement a dark siren statistical approach incorporating all potential host galaxies within the localization volume. Trott & Huterer recently claimed that this approach results in a biased estimate of the Hubble constant, H0, when implemented on mock data, even if optimistic assumptions are made. We demonstrate explicitly that, as previously shown by multiple independent groups, the dark siren statistical method leads to an unbiased posterior when the method is applied to the data correctly. We highlight common sources of error possible to make in the generation of mock data and implementation of the statistical framework, including the mismodeling of selection effects and inconsistent implementations of the Bayesian framework, which can lead to a spurious bias.
KW - gr-qc
KW - astro-ph.CO
UR - http://www.scopus.com/inward/record.url?scp=85163884126&partnerID=8YFLogxK
U2 - 10.3847/1538-3881/acca78
DO - 10.3847/1538-3881/acca78
M3 - Article
AN - SCOPUS:85163884126
SN - 0004-6256
VL - 166
JO - Astronomical Journal
JF - Astronomical Journal
IS - 1
M1 - 22
ER -