Accelerated detection of the binary neutron star gravitational-wave background

Francisco Hernandez Vivanco, Rory Smith, Eric Thrane, Paul D. Lasky

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.

Original languageEnglish
Article number043023
Number of pages6
JournalPhysical Review D
Volume100
Issue number4
DOIs
Publication statusPublished - 22 Aug 2019

Cite this

@article{c3f57d4228124f1a97a30322ea3fa8a2,
title = "Accelerated detection of the binary neutron star gravitational-wave background",
abstract = "Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.",
author = "{Hernandez Vivanco}, Francisco and Rory Smith and Eric Thrane and Lasky, {Paul D.}",
year = "2019",
month = "8",
day = "22",
doi = "10.1103/PhysRevD.100.043023",
language = "English",
volume = "100",
journal = "Physical Review D",
issn = "2470-0010",
publisher = "American Physical Society",
number = "4",

}

Accelerated detection of the binary neutron star gravitational-wave background. / Hernandez Vivanco, Francisco; Smith, Rory; Thrane, Eric; Lasky, Paul D.

In: Physical Review D, Vol. 100, No. 4, 043023, 22.08.2019.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Accelerated detection of the binary neutron star gravitational-wave background

AU - Hernandez Vivanco, Francisco

AU - Smith, Rory

AU - Thrane, Eric

AU - Lasky, Paul D.

PY - 2019/8/22

Y1 - 2019/8/22

N2 - Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.

AB - Most gravitational-wave signals from binary neutron star coalescences are too weak to be individually resolved with current detectors. We demonstrate how to extract a population of subthreshold binary neutron star signals using Bayesian parameter estimation. Assuming a merger rate of one signal every 2 hours, we find that this gravitational-wave background can be detected after approximately 3 months of observation with Advanced LIGO and Virgo at design sensitivity, versus several years using the standard cross-correlation algorithm. We show that the algorithm can distinguish different neutron star equations of state using roughly 7 months of Advanced LIGO and Virgo design-sensitivity data. This is in contrast to the standard cross-correlation method, which cannot.

UR - http://www.scopus.com/inward/record.url?scp=85072182178&partnerID=8YFLogxK

U2 - 10.1103/PhysRevD.100.043023

DO - 10.1103/PhysRevD.100.043023

M3 - Article

AN - SCOPUS:85072182178

VL - 100

JO - Physical Review D

JF - Physical Review D

SN - 2470-0010

IS - 4

M1 - 043023

ER -