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Dynamic Scheduling: Target of Opportunity Observations of Gravitational Wave Events

Almualla, Mouza and Coughlin, Michael W. and Anand, Shreya and Alqassimi, Khalid and Guessoum, Nidhal and Singer, Leo P. (2020) Dynamic Scheduling: Target of Opportunity Observations of Gravitational Wave Events. Monthly Notices of the Royal Astronomical Society, 495 (4). pp. 4366-4371. ISSN 0035-8711. https://resolver.caltech.edu/CaltechAUTHORS:20200415-085522157

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Abstract

The simultaneous detection of electromagnetic and gravitational waves from the coalescence of two neutron stars (GW170817 and GRB170817A) has ushered in a new era of ‘multimessenger’ astronomy, with electromagnetic detections spanning from gamma to radio. This great opportunity for new scientific investigations raises the issue of how the available multimessenger tools can best be integrated to constitute a powerful method to study the transient Universe in particular. To facilitate the classification of possible optical counterparts to gravitational wave events, it is important to optimize the scheduling of observations and the filtering of transients, both key elements of the follow-up process. In this work, we describe the existing workflow whereby telescope networks such as GRANDMA and GROWTH are currently scheduled; we then present modifications we have developed for the scheduling process specifically, so as to face the relevant challenges that have appeared during the latest observing run of Advanced LIGO and Advanced Virgo. We address issues with scheduling more than one epoch for multiple fields within a skymap, especially for large and disjointed localizations. This is done in two ways: by optimizing the maximum number of fields that can be scheduled and by splitting up the lobes within the skymap by right ascension to be scheduled individually. In addition, we implement the ability to take previously observed fields into consideration when rescheduling. We show the improvements that these modifications produce in making the search for optical counterparts more efficient, and we point to areas needing further improvement.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1093/mnras/staa1498DOIArticle
https://arxiv.org/abs/2003.09718arXivDiscussion Paper
ORCID:
AuthorORCID
Coughlin, Michael W.0000-0002-8262-2924
Singer, Leo P.0000-0001-9898-5597
Additional Information:© 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2020 May 27. Received 2020 May 27; in original form 2020 March 21. Published: 01 June 2020. MA and KA thank LIGO Laboratory at the California Institute of Technology for hosting the visit that led to this publication. MWC was supported by the David and Ellen Lee Postdoctoral Fellowship at the California Institute of Technology. SA acknowledges support from the GROWTH project funded by the National Science Foundation under grant no. 1545949. NG acknowledges a research grant from the Mohammed Bin Rashid Space Centre (United Arab Emirates), which supported this work.
Funders:
Funding AgencyGrant Number
David and Ellen Lee Postdoctoral ScholarshipUNSPECIFIED
NSFAST-1545949
Mohammed Bin Rashid Space CentreUNSPECIFIED
Subject Keywords:gravitational waves – telescopes; methods: observational
Issue or Number:4
Record Number:CaltechAUTHORS:20200415-085522157
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20200415-085522157
Official Citation:Mouza Almualla, Michael W Coughlin, Shreya Anand, Khalid Alqassimi, Nidhal Guessoum, Leo P Singer, Dynamic scheduling: target of opportunity observations of gravitational wave events, Monthly Notices of the Royal Astronomical Society, Volume 495, Issue 4, July 2020, Pages 4366–4371, https://doi.org/10.1093/mnras/staa1498
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102547
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:15 Apr 2020 16:07
Last Modified:23 Jul 2020 18:23

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