Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 81 |
| Fachzeitschrift | Scientific data |
| Jahrgang | 6 |
| Frühes Online-Datum | 3 Juni 2019 |
| Publikationsstatus | Veröffentlicht - 1 Dez. 2019 |
Abstract
This paper presents a parameter estimation analysis of the seven binary black hole mergers—GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823—detected during the second observing run of the Advanced LIGO and Virgo observatories using the gravitational-wave open data. We describe the methodology for parameter estimation of compact binaries using gravitational-wave data, and we present the posterior distributions of the inferred astrophysical parameters. We release our samples of the posterior probability density function with tutorials on using and replicating our results presented in this paper.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Statistik und Wahrscheinlichkeit
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Ausbildung bzw. Denomination
- Informatik (insg.)
- Angewandte Informatik
- Entscheidungswissenschaften (insg.)
- Statistik, Wahrscheinlichkeit und Ungewissheit
- Sozialwissenschaften (insg.)
- Bibliotheks- und Informationswissenschaften
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in: Scientific data, Jahrgang 6, 81, 01.12.2019.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Posterior samples of the parameters of binary black holes from Advanced LIGO, Virgo’s second observing run
AU - De, Soumi
AU - Capano, Collin D.
AU - Nitz, Alexander H.
N1 - Funding Information: This research has made use of data obtained from the Gravitational Wave Open Science Center (https://www.gw-openscience.org), a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. LIGO is funded by the U.S. National Science Foundation. Virgo is funded by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by Polish and Hungarian institutes. Computations were performed in the Syracuse University SUGWG cluster. This work was supported by NSF awards PHY-1707954 (D.A.B., S.D.), and PHY-1607169 (S.D.). S.D. was also supported by the Inaugural Kathy ‘73 and Stan 72’ Walters Endowed Fund for Science Research Graduate Fellowship at Syracuse University. Computations were supported by Syracuse University and NSF award OAC-1541396.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - This paper presents a parameter estimation analysis of the seven binary black hole mergers—GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823—detected during the second observing run of the Advanced LIGO and Virgo observatories using the gravitational-wave open data. We describe the methodology for parameter estimation of compact binaries using gravitational-wave data, and we present the posterior distributions of the inferred astrophysical parameters. We release our samples of the posterior probability density function with tutorials on using and replicating our results presented in this paper.
AB - This paper presents a parameter estimation analysis of the seven binary black hole mergers—GW170104, GW170608, GW170729, GW170809, GW170814, GW170818, and GW170823—detected during the second observing run of the Advanced LIGO and Virgo observatories using the gravitational-wave open data. We describe the methodology for parameter estimation of compact binaries using gravitational-wave data, and we present the posterior distributions of the inferred astrophysical parameters. We release our samples of the posterior probability density function with tutorials on using and replicating our results presented in this paper.
UR - http://www.scopus.com/inward/record.url?scp=85067200132&partnerID=8YFLogxK
U2 - 10.1038/s41597-019-0086-6
DO - 10.1038/s41597-019-0086-6
M3 - Article
C2 - 31160573
AN - SCOPUS:85067200132
VL - 6
JO - Scientific data
JF - Scientific data
SN - 2052-4463
M1 - 81
ER -