Bayesian Inference for Gravitational Waves from Binary Neutron Star Mergers in Third Generation Observatories
Name
PhysRevLett.127.081102.pdf
Description
Published version
Size
504.13 KB
Format
Adobe PDF
Checksum (MD5)
3f54683ff0f4cb74ede2e92dbc48e1a6
Author(s)
Smith, Rory
Borhanian, Ssohrab
Sathyaprakash, Bangalore
Hernandez Vivanco, Francisco
Field, Scott E
Lasky, Paul
Mandel, Ilya
Morisaki, Soichiro
Ottaway, David
Slagmolen, Bram JJ
Date Issued
2021
Journal
Physical Review Letters
Publisher
American Physical Society (APS)
Citation
Smith, Rory, Borhanian, Ssohrab, Sathyaprakash, Bangalore, Hernandez Vivanco, Francisco, Field, Scott E et al. 2021. "Bayesian Inference for Gravitational Waves from Binary Neutron Star Mergers in Third Generation Observatories." Physical Review Letters, 127 (8).
Version
Final published version
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 ∼1.3×10^{4} 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.
MIT Department
Massachusetts Institute of Technology. Department of Physics
MIT Kavli Institute for Astrophysics and Space Research
LIGO (Observatory : Massachusetts Institute of Technology)
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1103/PHYSREVLETT.127.081102
