Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo

Marc Van Der Sluys; Vivien Raymond; Ilya Mandel; Christian Röver; Nelson Christensen; Vicky Kalogera; Renate Meyer; Alberto Vecchio

doi:10.1088/0264-9381/25/18/184011

Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo

Marc Van Der Sluys^*, Vivien Raymond, Ilya Mandel, Christian Röver, Nelson Christensen, Vicky Kalogera, Renate Meyer, Alberto Vecchio

^*Corresponding author for this work

Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

91 Scopus citations

Abstract

We present a Markov chain Monte Carlo (MCMC) technique to study the source parameters of gravitational-wave signals from the inspirals of stellar-mass compact binaries detected with ground-based gravitational-wave detectors such as LIGO and Virgo, for the case where spin is present in the more massive compact object in the binary. We discuss the aspects of the MCMC algorithm that allow us to sample the parameter space in an efficient way. We show sample runs that illustrate the possibilities of our MCMC code and the difficulties that we encounter.

Original language	English (US)
Article number	184011
Journal	Classical and Quantum Gravity
Volume	25
Issue number	18
DOIs	https://doi.org/10.1088/0264-9381/25/18/184011
State	Published - Sep 21 2008

ASJC Scopus subject areas

Physics and Astronomy (miscellaneous)

Access to Document

10.1088/0264-9381/25/18/184011

Cite this

@article{af9ff33cb039485e9346b3c93a43ea92,

title = "Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo",

abstract = "We present a Markov chain Monte Carlo (MCMC) technique to study the source parameters of gravitational-wave signals from the inspirals of stellar-mass compact binaries detected with ground-based gravitational-wave detectors such as LIGO and Virgo, for the case where spin is present in the more massive compact object in the binary. We discuss the aspects of the MCMC algorithm that allow us to sample the parameter space in an efficient way. We show sample runs that illustrate the possibilities of our MCMC code and the difficulties that we encounter.",

author = "{Van Der Sluys}, Marc and Vivien Raymond and Ilya Mandel and Christian R{\"o}ver and Nelson Christensen and Vicky Kalogera and Renate Meyer and Alberto Vecchio",

year = "2008",

month = sep,

day = "21",

doi = "10.1088/0264-9381/25/18/184011",

language = "English (US)",

volume = "25",

journal = "Classical and Quantum Gravity",

issn = "0264-9381",

publisher = "IOP Publishing Ltd.",

number = "18",

}

TY - JOUR

T1 - Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo

AU - Van Der Sluys, Marc

AU - Raymond, Vivien

AU - Mandel, Ilya

AU - Röver, Christian

AU - Christensen, Nelson

AU - Kalogera, Vicky

AU - Meyer, Renate

AU - Vecchio, Alberto

PY - 2008/9/21

Y1 - 2008/9/21

N2 - We present a Markov chain Monte Carlo (MCMC) technique to study the source parameters of gravitational-wave signals from the inspirals of stellar-mass compact binaries detected with ground-based gravitational-wave detectors such as LIGO and Virgo, for the case where spin is present in the more massive compact object in the binary. We discuss the aspects of the MCMC algorithm that allow us to sample the parameter space in an efficient way. We show sample runs that illustrate the possibilities of our MCMC code and the difficulties that we encounter.

AB - We present a Markov chain Monte Carlo (MCMC) technique to study the source parameters of gravitational-wave signals from the inspirals of stellar-mass compact binaries detected with ground-based gravitational-wave detectors such as LIGO and Virgo, for the case where spin is present in the more massive compact object in the binary. We discuss the aspects of the MCMC algorithm that allow us to sample the parameter space in an efficient way. We show sample runs that illustrate the possibilities of our MCMC code and the difficulties that we encounter.

UR - http://www.scopus.com/inward/record.url?scp=56349134955&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=56349134955&partnerID=8YFLogxK

U2 - 10.1088/0264-9381/25/18/184011

DO - 10.1088/0264-9381/25/18/184011

M3 - Article

AN - SCOPUS:56349134955

SN - 0264-9381

VL - 25

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

IS - 18

M1 - 184011

ER -

Parameter estimation of spinning binary inspirals using Markov chain Monte Carlo

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this