Reconstruction of Chirp Mass in the Search of Compact Binaries

TL;DR

This paper introduces a method that uses reconstructed chirp mass and goodness of fit parameters to improve gravitational wave searches from compact binary coalescences by reducing background noise.

Contribution

It proposes a novel approach combining chirp mass reconstruction with goodness of fit metrics to enhance GW detection confidence for compact binaries.

Findings

Improved background suppression in GW searches.

Enhanced detection confidence for compact binary signals.

Potential for better discrimination of true signals from noise.

Abstract

Excess energy method is used in searches of gravitational waves (GWs) produced from sources with poorly modeled characteristics. It identifies GW events by searching for a coincidence appearance of excess energy in a GW detector network. While it is sensitive to a wide range of signal morphologies, the energy outliers can be populated by background noise events (background), thereby reducing the statistical confidence of a true signal. However, if the physics of the source is partially understood, weak model dependent constraints can be imposed to suppress the background. This letter presents a novel idea of using the reconstructed chirp mass along with two goodness of fit parameters for suppressing background when search is focused on GW produced from the compact binary coalescence.