2017
DOI: 10.1103/physrevlett.118.121101
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Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO’s First Observing Run

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 LI… Show more

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Cited by 246 publications
(283 citation statements)
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“…6 GeV, such that the span of corresponding f reheat , the frequency of the mode that reenters the horizon at the end of reheating at a reheat , is nearly centered on the LIGO sensitive frequency band (20 − 86 Hz) [101]. 13 The SFDM particle mass m is different for each value of T reheat , as labeled.…”
Section: Results: Present-day Sgwb Energy Density Spectrum and Itsmentioning
confidence: 99%
“…6 GeV, such that the span of corresponding f reheat , the frequency of the mode that reenters the horizon at the end of reheating at a reheat , is nearly centered on the LIGO sensitive frequency band (20 − 86 Hz) [101]. 13 The SFDM particle mass m is different for each value of T reheat , as labeled.…”
Section: Results: Present-day Sgwb Energy Density Spectrum and Itsmentioning
confidence: 99%
“…These couplings were reduced following O1 via isolation of power supplies, and in some cases, reduction of periodic current draws in the timing system itself (blinking LEDs). A subset of these lines with common origins at the two observatories contaminated the O1 search for a stochastic background of gravitational waves, which relies upon cross correlation of H1 and L1 data, requiring excision of affected bands [30].…”
Section: Ligo Interferometers and The O1 Observing Runmentioning
confidence: 99%
“…To calculate the significance of the combined power of a set of discrete frequency bins f i representing a comb, we calculate the signal-to-noise ratio (SNR) from the crosscorrelation estimatorŶðf i Þ and the associated standard deviation σ Y ðf i Þ [38,39]. The optimal way to combine these statistics is using a weighted sum (as described in [39,40] for combining segments).…”
Section: Sub-threshold Combs In Coherence Datamentioning
confidence: 99%