An efficient Matched Filtering Algorithm for the Detection of Continuous Gravitational Wave Signals

TL;DR

This paper introduces an efficient matched filtering method for detecting continuous gravitational waves from pulsars, utilizing Fourier transforms of short data segments to reduce computational costs over long observation periods.

Contribution

It presents a novel computationally efficient matched filtering algorithm that improves the search for continuous gravitational waves from pulsars.

Findings

The method reduces computational costs significantly.

It maintains high sensitivity in gravitational wave detection.

The approach is effective for long-duration data analysis.

Abstract

We describe an efficient method of matched filtering over long (greater than 1 day) time baselines starting from Fourier transforms of short durations (roughly 30 minutes) of the data stream. This method plays a crucial role in the search algorithm developed by Schutz and Papa for the detection of continuous gravitational waves from pulsars. Also, we discuss the computational cost--saving approximations used in this method, and the resultant performance of the search algorithm.