The search for black hole binaries using a genetic algorithm

TL;DR

This paper presents a genetic algorithm approach to detect gravitational wave signals from massive black hole binaries in simulated LISA data, demonstrating performance comparable or superior to existing methods.

Contribution

It introduces an extended genetic algorithm tailored for gravitational wave signal detection in LISA data, advancing the analysis techniques for black hole binary signals.

Findings

Performance comparable or better than existing algorithms

Effective in simulated LISA data with Gaussian noise

First step towards analyzing mock LISA data challenge

Abstract

In this work we use genetic algorithm to search for the gravitational wave signal from the inspiralling massive Black Hole binaries in the simulated LISA data. We consider a single signal in the Gaussian instrumental noise. This is a first step in preparation for analysis of the third round of the mock LISA data challenge. We have extended a genetic algorithm utilizing the properties of the signal and the detector response function. The performance of this method is comparable, if not better, to already existing algorithms.