Accelerating parameter estimation of gravitational waves from compact binary coalescence using adaptive frequency resolutions
Abstract
Bayesian parameter estimation of gravitational waves from compact binary coalescence (CBC) typically requires the generation of millions of computationally expensive template waveforms. We propose a technique to reduce the cost of waveform generation by exploiting the chirping behavior of CBC signal. Our technique does not require waveforms at all frequencies in the frequency range used in the analysis, and does not suffer from the fixed cost due to the upsampling of waveforms. Our technique speeds up the parameter estimation of typical binary neutron star signal by a factor of O (10 ) for the lowfrequency cutoff of 20 Hz, and O (10^{2}) for 5 Hz. It does not require any offline preparations or accurate estimates of source parameters provided by detection pipelines.
 Publication:

Physical Review D
 Pub Date:
 August 2021
 DOI:
 10.1103/PhysRevD.104.044062
 arXiv:
 arXiv:2104.07813
 Bibcode:
 2021PhRvD.104d4062M
 Keywords:

 General Relativity and Quantum Cosmology;
 Astrophysics  High Energy Astrophysical Phenomena;
 Astrophysics  Instrumentation and Methods for Astrophysics
 EPrint:
 13 pages, 6 figures