# Multi-waveform cross-correlation search method for intermediate-duration gravitational waves from gamma-ray bursts

## TL;DR

This paper enhances a cross-correlation method to improve the detection of intermediate-duration gravitational waves from gamma-ray burst remnants by incorporating multiple waveforms and real detector data.

## Contribution

It extends the CoCoA algorithm to include multi-waveform searches and tests it on real GW detector data, addressing uncertainties in GRB remnant models.

## Key findings

- Successful implementation of multi-waveform search capability.
- Validation of the method on real GW data.
- Potential for improved GW detection sensitivity for GRB remnants.

## Abstract

Gamma-ray Bursts (GRBs) are flashes of gamma-rays thought to originate from rare forms of massive star collapse (long GRBs), or from mergers of compact binaries (short GRBs) containing at least one neutron star (NS). The nature of the post-explosion / post-merger remnant (NS versus black hole, BH) remains highly debated. In ~50% of both long and short GRBs, the temporal evolution of the X-ray afterglow that follows the flash of gamma-rays is observed to "plateau" on timescales of 100-10000 s since explosion, possibly signaling the presence of energy injection from a long-lived, highly magnetized NS (magnetar). The Cross-Correlation Algorithm (CoCoA) proposed by [R. Coyne et. al., (2016)] aims to optimize searches for intermediate-duration (100-10000s) gravitational waves (GWs) from GRB remnants. In this work, we test CoCoA on real data collected with ground-based GW detectors. We further develop the detection statistics on which CoCoA is based to allow for multi-waveform searches spanning a physically-motivated parameter space, so as to account for uncertainties in the physical properties of GRB remnants.