The Hitchhiker's guide to the galaxy catalog approach for gravitational wave cosmology
| Autor: | Gair, Jonathan R., Ghosh, Archisman, Gray, Rachel, Holz, Daniel E., Mastrogiovanni, Simone, Mukherjee, Suvodip, Palmese, Antonella, Tamanini, Nicola, Baker, Tessa, Beirnaert, Freija, Bilicki, Maciej, Chen, Hsin-Yu, Dálya, Gergely, Ezquiaga, Jose Maria, Farr, Will M., Fishbach, Maya, Garcia-Bellido, Juan, Tathagata Ghosh, Huang, Hsiang-Yu, Karathanasis, Christos, Leyde, Konstantin, Magaña Hernandez, Ignacio, Noller, Johannes, Pierra, Gregoire, Raffai, Peter, Romano, Antonio Enea, Seglar-Arroyo, Monica, Steer, Danièle A., Turski, Cezary, Vaccaro, Maria Paola, Vallejo-Peña, Sergio Andrés |
|---|---|
| Přispěvatelé: | Laboratoire des deux Infinis de Toulouse (L2IT), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), AstroParticule et Cosmologie (APC (UMR_7164)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Cosmologie et Gravitation, Laboratoire de physique de l'ENS - ENS Paris (LPENS), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Département de Physique de l'ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Département de Physique de l'ENS-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL) |
| Předmět: |
radiation: electromagnetic
cosmological model data analysis method Cosmology and Nongalactic Astrophysics (astro-ph.CO) Hubble constant gravitational radiation FOS: Physical sciences General Relativity and Quantum Cosmology (gr-qc) Bayesian General Relativity and Quantum Cosmology localization statistical analysis [PHYS.GRQC]Physics [physics]/General Relativity and Quantum Cosmology [gr-qc] galaxy [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] Astrophysics - Cosmology and Nongalactic Astrophysics |
| Zdroj: | INSPIRE-HEP Astron.J. Astron.J., 2023, 166 (1), pp.22. ⟨10.3847/1538-3881/acca78⟩ |
| Popis: | 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 (1986), one can consult a galaxy catalog and implement a dark siren statistical approach incorporating all potential host galaxies within the localization volume. Trott & Hunterer 2021 recently claimed that this approach results in a biased estimate of the Hubble constant, $H_0$, 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. 19 pages, 11 figures. Submitted to ApJ |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|