When models fail: An introduction to posterior predictive checks and model misspecification in gravitational-wave astronomy [PDF]
Publications Astronomical Society of Australia, 2022 Bayesian inference is a powerful tool in gravitational-wave astronomy. It enables us to deduce the properties of merging compact-object binaries and to determine how these mergers are distributed as a population according to mass, spin, and redshift.
I. Romero-Shaw, E. Thrane, P. Lasky
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Progress towards gravitational-wave astronomy [PDF]
Classical and Quantum Gravity, 2008 I will review the most recent and interesting results from gravitational wave detection experiments, concentrating on recent results from the LIGO Scientific Collaboration (LSC). I will outline the methodologies utilized in the searches, explain what can be said in the case of a null result, what quantities may be constrained.
M. A. Papa
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Nanohertz gravitational wave astronomy during SKA era: An InPTA perspective [PDF]
Journal of astrophysics and astronomy, 2022 Decades long monitoring of millisecond pulsars, which exhibit highly stable rotational periods in pulsar timing array experiments is on the threshold of discovering nanohertz stochastic gravitational wave background.
B. C. Joshi +65 more
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iScience, 2021 Summary: Gravitational-wave observations of binary black holes allow new tests of general relativity (GR) to be performed on strong, dynamical gravitational fields.
Christopher J. Moore +3 more
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Do unequal-mass binary black hole systems have larger $\chi_\text{eff}$? Probing correlations with copulas in gravitational-wave astronomy [PDF]
, 2022 The formation history of binary black hole systems is imprinted on the distribution of their masses, spins, and eccentricity. While much has been learned studying these parameters in turn , recent studies have explored the joint distribution of binary ...
C. Adamcewicz, E. Thrane
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Gaussian processes for Glitch-robust Gravitational-wave astronomy [PDF]
Monthly notices of the Royal Astronomical Society, 2022 Interferometric gravitational-wave observatories have opened a new era in astronomy. The rich data produced by an international network enables detailed analysis of the curved space-time around black holes.
G. Ashton
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A Broadband Signal Recycling Scheme for Approaching the Quantum Limit from Optical Losses
Galaxies, 2021 Quantum noise limits the sensitivity of laser interferometric gravitational-wave detectors. Given the state-of-the-art optics, the optical losses define the lower bound of the best possible quantum-limited detector sensitivity.
Teng Zhang, Joe Bentley, Haixing Miao
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Accelerating multimodel Bayesian inference, model selection, and systematic studies for gravitational wave astronomy [PDF]
Physical Review D, 2022 Gravitational wave models are used to infer the properties of black holes in merging binaries from the observed gravitational wave signals through Bayesian inference.
C. Hoy
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Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy [PDF]
Astrophysical Journal Supplement Series, 2018 Bayesian parameter estimation is fast becoming the language of gravitational-wave astronomy. It is the method by which gravitational-wave data is used to infer the sources’ astrophysical properties. We introduce a user-friendly Bayesian inference library
G. Ashton +20 more
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Model exploration in gravitational-wave astronomy with the maximum population likelihood [PDF]
Physical Review Research, 2022 Hierarchical Bayesian inference is an essential tool for studying the population properties of compact binaries with gravitational waves. The basic premise is to infer the unknown prior distribution of binary black hole and/or neutron star parameters ...
E. Payne, E. Thrane
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