GPU-accelerated broadband analysis of multi-messenger GRB light curves
Maurice H.P.M. van Putten

TL;DR
This paper introduces a GPU-accelerated broadband search algorithm for multi-messenger signals from gamma-ray bursts, enabling faster detection of complex gravitational and electromagnetic wave patterns to better understand GRB central engines and cosmological evolution.
Contribution
It presents a novel GPU-based broadband search method for long-duration chirps in electromagnetic and gravitational data, improving detection speed and sensitivity for multi-messenger astrophysics.
Findings
Identified broadband Kolmogorov spectra in long GRBs.
Detected a long duration ascending chirp in GW170817.
Observed absence of high-frequency bump in GRB spectra.
Abstract
High-frequency multi-messenger observations provide a powerful probe of gamma-ray bursts (GRBs), pioneered by {\em BeppoSAX} in gamma-rays and LIGO-Virgo in gravitational waves. Identifying the central engines - magnetars or black holes - also promises to improve on GRBs as probes of cosmological evolution. THESEUS' design is ideally suited to pursue both science objectives. Here, we present a general-purpose {\em graphics processor units} (GPU)-accelerated broadband search algorithm for long duration ascending and descending chirps, post-merger or from core-collapse of massive stars, in electromagnetic and gravitational radiation. It implements butterfly filtering using banks of up to 8 million templates of 1 second duration at over one million correlations per second by heterogeneous computing using a dozen high-end GPUs. We demonstrate its application with the identification of…
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Taxonomy
TopicsMethane Hydrates and Related Phenomena · Gamma-ray bursts and supernovae
