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Optimal Search Strategy for Finding Transients in Large-sky Error Regions under Realistic Constraints

Rana, Javed and Anand, Shreya and Bose, Sukanta (2019) Optimal Search Strategy for Finding Transients in Large-sky Error Regions under Realistic Constraints. Astrophysical Journal, 876 (2). Art. No. 104. ISSN 1538-4357. https://resolver.caltech.edu/CaltechAUTHORS:20190508-091132722

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Abstract

In order to identify the rapidly fading, optical transient counterparts of gravitational-wave (GW) sources, an efficient follow-up strategy is required. Since most ground-based optical telescopes aimed at following up GW sources have a small field of view (FOV) as compared to the GW sky error region, we focus on a search strategy that involves dividing the GW patch into tiles of the same area as the telescope FOV to strategically image the entire patch. We present an improvement over the optimal algorithm outlined in Rana et al. by factoring in the effects of air mass, telescope slew, and setting constraints into the scheduling algorithm in order to increase the chances of identifying the GW counterpart. We propose two separate algorithms: the air-mass-weighted algorithm, a solution to the Hungarian algorithm that maximizes probability acquired while minimizing the image air mass, and the slew-optimization algorithm that minimizes the overall slew angle within the observation schedule using the traveling salesman algorithm. We simulate hundreds of telescope-patch configurations to test the performance of our algorithms. Our results indicate that slew optimization can reduce the cumulative slew angle by hundreds of degrees, saving minutes of observation time without any loss of probability. Further, we demonstrate that, as compared to the greedy algorithm, the air-mass-weighted algorithm can acquire up to 20% more probability and 30 deg^2 more in areal coverage for skymaps of all sizes and configurations. Our analysis can be straightforwardly extended to optical counterparts of gamma-ray bursts, as well as to other telescopes or sites.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.3847/1538-4357/ab165aDOIArticle
https://arxiv.org/abs/1902.08378arXivDiscussion Paper
ORCID:
AuthorORCID
Rana, Javed0000-0001-5605-1809
Bose, Sukanta0000-0002-3445-4479
Additional Information:© 2019 The American Astronomical Society. Received 2019 February 19; revised 2019 April 2; accepted 2019 April 3; published 2019 May 8. This work made use of the Python libraries Numpy and Matplotlib. It also made use of Astropy, a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013, http://www.astropy.org). We would like to thank Patrick Brady, Leo Singer, Varun Bhalerao, G. C. Anupama, Om Sharan Salafia, and Shaon Ghosh for helpful discussions. We would like to especially acknowledge Varun Bhalerao for providing us with with both broad and detailed comments and feedback on our manuscript. We would also like to thank Michael Coughlin for carefully reading the manuscript and making useful comments in LIGO P&P review (https://dcc.ligo.org/LIGO-P1900019). Additionally, we thank our anonymous referee from ApJ for carefully reading and critiquing our paper. This work was supported in part by a grant from the Navajbai Ratan Tata trust.
Funders:
Funding AgencyGrant Number
Navajbai Ratan Tata TrustUNSPECIFIED
Subject Keywords:gravitational waves – methods: observational – telescopes
Issue or Number:2
Record Number:CaltechAUTHORS:20190508-091132722
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20190508-091132722
Official Citation:Javed Rana et al 2019 ApJ 876 104
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:95340
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:08 May 2019 23:52
Last Modified:03 Oct 2019 21:12

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