Chasing Gamma-Ray Signals from Binary Neutron Star Coalescences with the Cherenkov Telescope Array: Prospects and Observing Strategies
S. Abe, J. Abhir, A. Abhishek, F. Acero, A. Acharyya, R. Adam, A. Aguasca-Cabot, I. Agudo, I. Albanese, J. Alfaro, C. Alispach, R. Alves Batista, E. Amato, G. Ambrosi, D. Ambrosino, F. Ambrosino, L. Angel, C. Aramo, A. Arbet-Engels, C. Arcaro, C. Arena, T. T. H. Arnesen

TL;DR
This paper evaluates strategies for detecting gamma-ray signals from binary neutron star mergers with the Cherenkov Telescope Array, estimating detection rates and optimizing follow-up observations in multi-messenger astronomy.
Contribution
It introduces a simulation framework to assess GeV--TeV follow-up strategies for GW events, highlighting the importance of viewing angles and optimized observation plans.
Findings
Approximately 5% of simulated GW-associated short GRBs are detectable by CTAO.
Detection likelihood depends heavily on jet opening and viewing angles.
Optimized follow-up strategies can significantly improve detection prospects.
Abstract
The detection of gravitational waves (GWs) from a binary neutron star (BNS) merger by Advanced LIGO and Advanced Virgo (GW170817), together with its electromagnetic counterpart, the short gamma-ray burst GRB~170817A, heralded the birth of multi-messenger astronomy. The detection of TeV emission from GRBs motivates follow-up observations with the Cherenkov Telescope Array Observatory (CTAO), ideal for detecting such signals due to its unprecedented sensitivity, rapid response, and wide-field survey capabilities. The aim of this work is to evaluate GeV--TeV GW follow-up strategies for CTAO using a multi-step simulation pipeline and to estimate the expected rate of joint GW-GRB detections during observing run O5. Using a simulated sample of BNS systems with corresponding GW detections, gamma-ray emission is simulated through phenomenological prescriptions based on the observed population…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
