Upper limits on the stochastic gravitational-wave background from advanced LIGO's first observing run

The LIGO Scientific Collaboration, Virgo Collaboration

Research output: Contribution to journalArticlepeer-review

139 Citations (Scopus)
118 Downloads (Pure)

Abstract

A wide variety of astrophysical and cosmological sources are expected to contribute to a stochastic gravitational-wave background. Following the observations of GW150914 and GW151226, the rate and mass of coalescing binary black holes appear to be greater than many previous expectations. As a result, the stochastic background from unresolved compact binary coalescences is expected to be particularly loud. We perform a search for the isotropic stochastic gravitational-wave background using data from Advanced Laser Interferometer Gravitational Wave Observatory's (aLIGO) first observing run. The data display no evidence of a stochastic gravitational-wave signal. We constrain the dimensionless energy density of gravitational waves to be Ω0<1.7×10-7 with 95% confidence, assuming a flat energy density spectrum in the most sensitive part of the LIGO band (20-86 Hz). This is a factor of ∼33 times more sensitive than previous measurements. We also constrain arbitrary power-law spectra. Finally, we investigate the implications of this search for the background of binary black holes using an astrophysical model for the background.

Original languageEnglish
Article number121101
JournalPhysical Review Letters
Volume118
Issue number12
DOIs
Publication statusPublished - 24 Mar 2017

Bibliographical note

Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO’s First Observing Run, B. P. Abbott et al. (LIGO Scientific Collaboration and Virgo Collaboration), Phys. Rev. Lett. 118, 121101 – Published 24 March 2017

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Fingerprint

Dive into the research topics of 'Upper limits on the stochastic gravitational-wave background from advanced LIGO's first observing run'. Together they form a unique fingerprint.

Cite this