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An Early-warning System for Electromagnetic Follow-up of Gravitational-wave Events

Sachdev, Surabhi and Magee, Ryan and Hanna, Chad and Cannon, Kipp and Singer, Leo and Rana SK, Javed and Mukherjee, Debnandini and Caudill, Sarah and Chan, Chiwai and Creighton, Jolien D. E. and Ewing, Becca and Fong, Heather and Godwin, Patrick and Huxford, Rachael and Kapadia, Shasvath and Li, Alvin K. Y. and Lo, Rico Ka Lok and Meacher, Duncan and Messick, Cody and Mohite, Siddharth R. and Nishizawa, Atsushi and Ohta, Hiroaki and Pace, Alexander and Reza, Amit and Sathyaprakash, B. S. and Shikauchi, Minori and Singh, Divya and Tsukada, Leo and Tsuna, Daichi and Tsutsui, Takuya and Ueno, Koh (2020) An Early-warning System for Electromagnetic Follow-up of Gravitational-wave Events. Astrophysical Journal Letters, 905 (2). Art. No. L25. ISSN 2041-8213. https://resolver.caltech.edu/CaltechAUTHORS:20201224-085807154

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Abstract

Binary neutron stars (BNSs) will spend ≃10–15 minutes in the band of Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo detectors at design sensitivity. Matched-filtering of gravitational-wave (GW) data could in principle accumulate enough signal-to-noise ratio (S/N) to identify a forthcoming event tens of seconds before the companions collide and merge. Here we report on the design and testing of an early-warning GW detection pipeline. Early-warning alerts can be produced for sources that are at low enough redshift so that a large enough S/N accumulates ~10–60 s before merger. We find that about 7% (49%) of the total detectable BNS mergers will be detected 60 s (10 s) before the merger. About 2% of the total detectable BNS mergers will be detected before merger and localized to within 100 deg² (90% credible interval). Coordinated observing by several wide-field telescopes could capture the event seconds before or after the merger. LIGO–Virgo detectors at design sensitivity could facilitate observing at least one event at the onset of merger.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.3847/2041-8213/abc753DOIArticle
https://arxiv.org/abs/2008.04288arXivDiscussion Paper
ORCID:
AuthorORCID
Sachdev, Surabhi0000-0002-0525-2317
Magee, Ryan0000-0001-9769-531X
Cannon, Kipp0000-0003-4068-6572
Singer, Leo0000-0001-9898-5597
Rana SK, Javed0000-0001-5605-1809
Mukherjee, Debnandini0000-0001-7335-9418
Caudill, Sarah0000-0002-8927-6673
Creighton, Jolien D. E.0000-0003-3600-2406
Ewing, Becca0000-0001-9178-5744
Kapadia, Shasvath0000-0001-5318-1253
Li, Alvin K. Y.0000-0001-6728-6523
Lo, Rico Ka Lok0000-0003-1561-6716
Messick, Cody0000-0002-8230-3309
Nishizawa, Atsushi0000-0002-6109-2397
Reza, Amit0000-0001-7934-0259
Sathyaprakash, B. S.0000-0003-3845-7586
Ueno, Koh0000-0003-0424-3045
Alternate Title:An early warning system for electromagnetic follow-up of gravitational-wave events
Additional Information:© 2020. The American Astronomical Society. Received 2020 September 8; revised 2020 November 2; accepted 2020 November 4; published 2020 December 21. This work was supported by the NSF grant OAC-1841480. S.S. is supported by the Eberly Research Funds of Penn State, The Pennsylvania State University, University Park, Pennsylvania. D.M. acknowledges the support of NSF PHY-1454389, ACI-1642391, and OAC-1841480. S.R.M. thanks the LSSTC Data Science Fellowship Program, which is funded by LSSTC, NSF Cybertraining grant #1829740, the Brinson Foundation, and the Moore Foundation; his participation in the program has benefited this work. B.S.S. is supported in part by NSF grant No. PHY-1836779 and AST-1708146. Computations for this research were performed on the Pennsylvania State Universitys Institute for Computational and Data Sciences Advanced CyberInfrastructure (ICDS-ACI). We also thank the LIGO Laboratory for use of its computing facility to make this work possible. The research leading to these results has also received funding from the European Union's Horizon 2020 Programme under the AHEAD2020 project (grant agreement No. 871158). Data: The data that were used to infer the results in this Letter are described in https://gstlal.docs.ligo.org/ewgw-data-release (Sachdev et al. 2020). Software: The analysis of the data and the detections of the simulation signals were made using the GstLAL-based inspiral software pipeline (Cannon et al. 2012; Privitera et al. 2014; Messick et al. 2017; Sachdev et al. 2019; Hanna et al. 2020). These are built on the LALSuite software library (LIGO Scientific Collaboration 2018). The sky localizations made use of ligo.skymap15 , which uses Astropy,16 a community-developed core Python package for Astronomy (Astropy Collaboration et al. 2013; Price-Whelan et al. 2018). The plots were prepared using Matplotlib (Hunter 2007).
Group:LIGO
Funders:
Funding AgencyGrant Number
NSFOAC-1841480
Pennsylvania State UniversityUNSPECIFIED
Eberly College of ScienceUNSPECIFIED
NSFPHY-1454389
NSFACI-1642391
LSSTC Institutional MembersUNSPECIFIED
NSFOAC-1829740
Brinson FoundationUNSPECIFIED
Gordon and Betty Moore FoundationUNSPECIFIED
NSFPHY-1836779
NSFAST-1708146
European Research Council (ERC)871158
Subject Keywords:Neutron stars ; Gravitational waves
Issue or Number:2
Classification Code:Unified Astronomy Thesaurus concepts: Neutron stars (1108); Gravitational waves (678)
Record Number:CaltechAUTHORS:20201224-085807154
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20201224-085807154
Official Citation:Surabhi Sachdev et al 2020 ApJL 905 L25
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107275
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:04 Jan 2021 15:00
Last Modified:04 Jan 2021 15:00

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