A Metropolis-Hastings algorithm for extracting periodic gravitational wave signals from laser interferometric detector data

TL;DR

This paper introduces a Metropolis-Hastings algorithm designed to detect and analyze periodic gravitational wave signals from neutron stars using laser interferometric data, especially effective in low signal-to-noise scenarios.

Contribution

The paper presents a novel Metropolis-Hastings algorithm tailored for extracting neutron star parameters from gravitational wave data, improving detection capabilities in noisy environments.

Findings

Effective inference of neutron star spin and orientation parameters

Enhanced detection of weak gravitational wave signals

Demonstrated algorithm performance on simulated data

Abstract

The Markov chain Monte Carlo methods offer practical procedures for detecting signals characterized by a large number of parameters and under conditions of low signal-to-noise ratio. We present a Metropolis-Hastings algorithm capable of inferring the spin and orientation parameters of a neutron star from its periodic gravitational wave signature seen by laser interferometric detectors