The detection efficiency of on-axis short gamma ray burst optical afterglows triggered by aLIGO/Virgo
David Coward, Marica Branchesi, Eric Howell, Paul Lasky, Michel Boer

TL;DR
This paper models the efficiency of detecting on-axis optical afterglows of short gamma-ray bursts triggered by gravitational wave events, emphasizing telescope capabilities, sky localization, and network configurations.
Contribution
It introduces a simple analysis tool to evaluate detection efficiency and explores how telescope features and network configurations affect the likelihood of observing optical afterglows.
Findings
Detection efficiency exceeds 80% with imaging times under 200 min for NS-NS mergers.
Small telescopes can match larger ones' efficiency if they respond quickly within 10-15 min.
Adding LIGO India reduces imaging time and improves detection prospects.
Abstract
Assuming neutron star (NS) or neutron star/stellar-mass black hole (BH) mergers as progenitors of the short gamma ray bursts, we derive and demonstrate a simple analysis tool for modelling the efficiency of recovering on-axis optical afterglows triggered by a candidate gravitational wave event detected by the Advanced LIGO and Virgo network. The coincident detection efficiency has been evaluated for different classes of operating telescopes using observations of gamma ray bursts. We show how the efficiency depends on the luminosity distribution of the optical afterglows, the telescope features, and the sky localisation of gravitational wave triggers. We estimate a plausible optical afterglow and gravitational wave coincidence rate of 1 yr (0.1 yr) for NS-NS (NS-BH), and how this rate is scaled down in detection efficiency by the time it takes to image the gravitational…
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.
