Detection of TeV emission during early afterglow from poorly localized GRBs with ground based IACTs

TL;DR

This paper explores optimized follow-up strategies for ground-based telescopes to detect TeV emission from poorly localized gamma-ray bursts, potentially doubling detection rates with current and upcoming observatories.

Contribution

It introduces a new observational approach using rapid tiling of large localization regions to improve TeV GRB detection prospects.

Findings

Detection rate increases up to a factor of two for ASTRI and LACT.

Up to four VHE detections per year predicted for CTAO.

Simulations based on 15+ years of GRB data support strategy effectiveness.

Abstract

Gamma-ray bursts (GRBs) are among the most luminous and rapidly evolving transients in the Universe. While space-based instruments have extended GRB observations up to energies of $\sim$100 GeV, the detection of very-high-energy (VHE; $E>100$ GeV) emission from ground-based telescopes, especially during prompt or/and the early afterglow phase, remains challenging. These difficulties arise from the rapid temporal decay of GRB afterglows, strong attenuation by the extragalactic background light (EBL), observational latency, and the typical poor sky localization provided by MeV-detectors such as Fermi/GBM. In this work, we investigate the prospects for detecting TeV ($\sim$100 GeV--1 TeV) emission from poorly localized GRBs by adopting optimized follow-up strategies based on rapid tiling of large localization regions. We simulate a realistic population of GRBs informed by more than fifteen years of Fermi/GBM and Swift/XRT detections and recent progresses in the afterglow emission modeling. Using these simulations, we evaluate the detectability of GRB early afterglows by the next-generation Imaging Atmospheric Cherenkov Telescopes, equipped with larger field-of-view (FoV), as a function of latency, exposure time, and observational strategy. Our strategy can significantly enhance the detection rate; for instruments such as ASTRI and LACT, it increases by up to a factor of two compared to strategies limited to well-localized (Swift-like) events. For CTAO, our proposed approach provides up to four VHE detections per year.