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

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.

4 pages, text only, accepted for publication in the proceedings of the 3rd Amaldi conference on gravitational waves

Cited by in corpus (9)

• Searches for Continuous-Wave Gravitational Radiation
• First search for long-duration transient gravitational waves after glitches in the Vela and Crab pulsars
• Implementing a semicoherent search for continuous gravitational waves using optimally-constructed template banks
• Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic
• Convolutional neural network search for long-duration transient gravitational waves from glitching pulsars
• Scalable data-analysis framework for long-duration gravitational waves from compact binaries using short Fourier transforms
• Bayesian $\mathcal{F}$-statistic-based parameter estimation of continuous gravitational waves from known pulsars
• Implementation of a new weave-based search pipeline for continuous gravitational waves from known binary systems
• One-stop strategy to search for long-duration gravitational-wave signals