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https://hdl.handle.net/2440/132908
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Type: | Journal article |
Title: | Bayesian inference for gravitational waves from binary neutron star mergers in third generation observatories |
Author: | Smith, R. Borhanian, S. Sathyaprakash, B. Hernandez Vivanco, F. Field, S.E. Lasky, P. Mandel, I. Morisaki, S. Ottaway, D. Slagmolen, B.J.J. Thrane, E. Töyrä, D. Vitale, S. |
Citation: | Physical Review Letters, 2021; 127(8):081102-1-081102-7 |
Publisher: | American Physical Society |
Issue Date: | 2021 |
ISSN: | 0031-9007 1079-7114 |
Statement of Responsibility: | Rory Smith, Ssohrab Borhanian, Bangalore Sathyaprakash, Francisco Hernandez Vivanco, Scott E. Field, Paul Lasky, Ilya Mandel, Soichiro Morisaki, David Ottaway, Bram J. J. Slagmolen, Eric Thrane, Daniel Töyrä, and Salvatore Vitale |
Abstract: | Third generation (3G) gravitational-wave detectors will observe thousands of coalescing neutron star binaries with unprecedented fidelity. Extracting the highest precision science from these signals is expected to be challenging owing to both high signal-to-noise ratios and long-duration signals. We demonstrate that current Bayesian inference paradigms can be extended to the analysis of binary neutron star signals without breaking the computational bank. We construct reduced-order models for ∼90-min-long gravitational-wave signals covering the observing band (5–2048 Hz), speeding up inference by a factor of ∼1.3×104 compared to the calculation times without reduced-order models. The reduced-order models incorporate key physics including the effects of tidal deformability, amplitude modulation due to Earth’s rotation, and spin-induced orbital precession. We show how reduced-order modeling can accelerate inference on data containing multiple overlapping gravitational-wave signals, and determine the speedup as a function of the number of overlapping signals. Thus, we conclude that Bayesian inference is computationally tractable for the long-lived, overlapping, high signal-to-noise-ratio events present in 3G observatories. |
Rights: | © 2021 American Physical Society |
DOI: | 10.1103/PhysRevLett.127.081102 |
Grant ID: | http://purl.org/au-research/grants/arc/CE170100004 http://purl.org/au-research/grants/arc/FT160100112 http://purl.org/au-research/grants/arc/DP180103155 http://purl.org/au-research/grants/arc/FT190100574 http://purl.org/au-research/grants/arc/FT150100281 |
Published version: | http://dx.doi.org/10.1103/physrevlett.127.081102 |
Appears in Collections: | Physics publications |
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