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  • The capability of the Australian Square Kilometre Array Pathfinder to detect prompt radio bursts from neutron star mergers
Title: The capability of the Australian Square Kilometre Array Pathfinder to detect prompt radio bursts from neutron star mergers
Abstract We discuss observational strategies to detect prompt bursts associated with gravitational wave (GW) events using the Australian Square Kilometre Array Pathfinder (ASKAP). Many theoretical models of binary neutron stars mergers predict that bright, prompt radio emission would accompany the merger. The detection of such prompt emission would greatly improve our knowledge of the physical conditions, environment, and location of the merger. However, searches for prompt emission are complicated by the relatively poor localisation for GW events, with the 90% credible region reaching hundreds or even thousands of square degrees. Operating in fly’s eye mode, the ASKAP field of view can reach $$\sim1\,000$$ deg $^2$ at $$\sim$$ $$888\,{\rm MHz}$$ . This potentially allows observers to cover most of the 90% credible region quickly enough to detect prompt emission. We use skymaps for GW170817 and GW190814 from LIGO/Virgo’s third observing run to simulate the probability of detecting prompt emission for GW events in the upcoming fourth observing run. With only alerts released after merger, we find it difficult to slew the telescope sufficiently quickly as to capture any prompt emission. However, with the addition of alerts released before merger by negative-latency pipelines, we find that it should be possible to search for nearby, bright prompt fast radio burst-like emission from GW events. Nonetheless, the rates are low: we would expect to observe $$\sim$$ 0.012 events during the fourth observing run, assuming that the prompt emission is emitted microseconds around the merger.  more » « less
Award ID(s):
1816492
PAR ID:
10294250
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Publications of the Astronomical Society of Australia
Volume:
37
ISSN:
1323-3580
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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