20 research outputs found
A self-consistent method to estimate the rate of compact binary coalescences with a Poisson mixture model
The recently published GWTC-1 (Abbott B P et al (LIGO Scientific Collaboration and Virgo Collaboration) 2019 Phys. Rev. X 9 031040)—a journal article summarizing the search for gravitational waves (GWs) from coalescing compact binaries in data produced by the LIGO-Virgo network of ground-based detectors during their first and second observing runs—quoted estimates for the rates of binary neutron star, neutron star black hole binary, and binary black hole mergers, as well as assigned probabilities of astrophysical origin for various significant and marginal GW candidate events. In this paper, we delineate the formalism used to compute these rates and probabilities, which assumes that triggers above a low ranking statistic threshold, whether of terrestrial or astrophysical origin, occur as independent Poisson processes. In particular, we include an arbitrary number of astrophysical categories by redistributing, via mass-based template weighting, the foreground probabilities of candidate events, across source classes. We evaluate this formalism on synthetic GW data, and demonstrate that this method works well for the kind of GW signals observed during the first and second observing runs
A self-consistent method to estimate the rate of compact binary coalescences with a Poisson mixture model
The recently published GWTC-1 - a journal article summarizing the search for
gravitational waves (GWs) from coalescing compact binaries in data produced by
the LIGO-Virgo network of ground-based detectors during their first and second
observing runs - quoted estimates for the rates of binary neutron star, neutron
star black hole binary, and binary black hole mergers, as well as assigned
probabilities of astrophysical origin for various significant and marginal GW
candidate events. In this paper, we delineate the formalism used to compute
these rates and probabilities, which assumes that triggers above a low ranking
statistic threshold, whether of terrestrial or astrophysical origin, occur as
independent Poisson processes. In particular, we include an arbitrary number of
astrophysical categories by redistributing, via mass-based template weighting,
the foreground probabilities of candidate events, across source classes. We
evaluate this formalism on synthetic GW data, and demonstrate that this method
works well for the kind of GW signals observed during the first and second
observing runs.Comment: 19 pages, 5 figure
A self-consistent method to estimate the rate of compact binary coalescences with a Poisson mixture model
The recently published GWTC-1 - a journal article summarizing the search for
gravitational waves (GWs) from coalescing compact binaries in data produced by
the LIGO-Virgo network of ground-based detectors during their first and second
observing runs - quoted estimates for the rates of binary neutron star, neutron
star black hole binary, and binary black hole mergers, as well as assigned
probabilities of astrophysical origin for various significant and marginal GW
candidate events. In this paper, we delineate the formalism used to compute
these rates and probabilities, which assumes that triggers above a low ranking
statistic threshold, whether of terrestrial or astrophysical origin, occur as
independent Poisson processes. In particular, we include an arbitrary number of
astrophysical categories by redistributing, via mass-based template weighting,
the foreground probabilities of candidate events, across source classes. We
evaluate this formalism on synthetic GW data, and demonstrate that this method
works well for the kind of GW signals observed during the first and second
observing runs.Comment: 19 pages, 5 figure
An Early-warning System for Electromagnetic Follow-up of Gravitational-wave Events
Binary neutron stars (BNSs) will spend ≃10–15 minutes in the band of Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo detectors at design sensitivity. Matched-filtering of gravitational-wave (GW) data could in principle accumulate enough signal-to-noise ratio (S/N) to identify a forthcoming event tens of seconds before the companions collide and merge. Here we report on the design and testing of an early-warning GW detection pipeline. Early-warning alerts can be produced for sources that are at low enough redshift so that a large enough S/N accumulates ~10–60 s before merger. We find that about 7% (49%) of the total detectable BNS mergers will be detected 60 s (10 s) before the merger. About 2% of the total detectable BNS mergers will be detected before merger and localized to within 100 deg² (90% credible interval). Coordinated observing by several wide-field telescopes could capture the event seconds before or after the merger. LIGO–Virgo detectors at design sensitivity could facilitate observing at least one event at the onset of merger
An early warning system for electromagnetic follow-up of gravitational-wave events
Binary neutron stars (BNSs) will spend -- 15 minutes in the band
of Advanced LIGO and Virgo detectors at design sensitivity. Matched-filtering
of gravitational-wave (GW) data could in principle accumulate enough
signal-to-noise ratio (SNR) to identify a forthcoming event tens of seconds
before the companions collide and merge. Here we report on the design and
testing of an early warning gravitational-wave detection pipeline. Early
warning alerts can be produced for sources that are at low enough redshift so
that a large enough SNR accumulates before merger. We
find that about 7% (respectively, 49%) of the total detectable BNS mergers will
be detected () before the merger. About 2% of the
total detectable BNS mergers will be detected before merger and localized to
within (90% credible interval). Coordinated observing
by several wide-field telescopes could capture the event seconds before or
after the merger. LIGO-Virgo detectors at design sensitivity could facilitate
observing at least one event at the onset of merger.Comment: small update in numbers caused by using a more updated local BNS rate
estimat