Maximising the detection probability of kilonovae associated with gravitational wave observations
Man Leong Chan, Yi-Ming Hu, Chris Messenger, Martin Hendry, Ik Siong, Heng

TL;DR
This paper presents an algorithm to optimize telescope observations for detecting kilonovae associated with gravitational wave events, significantly improving detection chances by strategic planning of fields and exposure times.
Contribution
The authors develop a novel optimization algorithm for electromagnetic follow-up observations that maximizes kilonova detection probability considering telescope capabilities and GW localization.
Findings
Optimized number of observation fields depends on GW event localization size.
Telescope sensitivity is more critical than field-of-view for large error regions.
The method improves detection probability across various telescope parameters.
Abstract
Estimates of the source sky location for gravitational wave signals are likely span areas ranging up to hundreds of square degrees or more, making it very challenging for most telescopes to search for counterpart signals in the electromagnetic spectrum. To boost the chance of successfully observing such counterparts, we have developed an algorithm which optimizes the number of observing fields and their corresponding time allocations by maximizing the detection probability. As a proof-of-concept demonstration, we optimize follow-up observations targeting kilonovae using telescopes including CTIO-Dark Energy Camera, Subaru-HyperSuprimeCam, Pan-STARRS and Palomar Transient Factory. We consider three simulated gravitational wave events with 90% credible error regions spanning areas from ~30 deg^2 to ~300 deg^2. Assuming a source at 200 Mpc, we demonstrate that to obtain a maximum detection…
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