Compact binary waveform recovery from the cross-correlated data of two detectors by matched filtering with spinning templates

TL;DR

This paper explores how cross-correlating data from two LIGO detectors improves the recovery of highly spinning gravitational waveforms using matched filtering with spinning templates.

Contribution

It demonstrates that cross-correlation enhances mass estimation and spin angle recovery in gravitational wave data analysis.

Findings

Cross-correlation improves mass estimates.

Enhanced recovery of spin angles.

Better detection prospects for highly spinning waveforms.

Abstract

We investigate whether the recovery chances of highly spinning waveforms by matched filtering with randomly chosen spinning waveforms generated with the LAL package are improved by a cross-correlation of the simulated output of the L1 and H1 LIGO detectors. We find that a properly defined correlated overlap improves the mass estimates and enhances the recovery of spin angles.