Predicting electromagnetic counterparts using low-latency gravitational-wave data products
Predicting electromagnetic counterparts using low-latency gravitational-wave data products
复制标题
使用低延迟引力波数据产品预测电磁对应物
DOI:
10.1093/mnras/stab1492
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发表时间:
2021
影响因子:
4.8
通讯作者:
Schianchi, Federico
中科院分区:
文献类型:
--
作者:
Stachie, Cosmin;Coughlin, Michael W;Dietrich, Tim;Antier, Sarah;Bulla, Mattia;Christensen, Nelson;Essick, Reed;Landry, Philippe;Mours, Benoit;Schianchi, Federico
Searches for gravitational-wave counterparts have been going in earnest since GW170817 and the discovery of AT2017gfo. Since then, the lack of detection of other optical counterparts connected to binary neutron star or black hole–neutron star candidates has highlighted the need for a better discrimination criterion to support this effort. At the moment, low-latency gravitational-wave alerts contain preliminary information about binary properties and hence whether a detected binary might have an electromagnetic counterpart. The current alert method is a classifier that estimates the probability that there is a debris disc outside the black hole created during the merger as well as the probability of a signal being a binary neutron star, a black hole–neutron star, a binary black hole, or of terrestrial origin. In this work, we expand upon this approach to both predict the ejecta properties and provide contours of potential light curves for these events, in order to improve the follow-up observation strategy. The various sources of uncertainty are discussed, and we conclude that our ignorance about the ejecta composition and the insufficient constraint of the binary parameters by low-latency pipelines represent the main limitations. To validate the method, we test our approach on real events from the second and third Advanced Laser Interferometer Gravitational-Wave Observatory (LIGO)–Virgo observing runs.
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影响因子:
56.9
作者:
Dietrich, Tim;Coughlin, Michael W.;Antier, Sarah
通讯作者:
Antier, Sarah
DOI:
10.3847/1538-4357/aabaec
发表时间:
2017-11
期刊:
The Astrophysical Journal
影响因子:
--
作者:
D. Siegel;B. Metzger
通讯作者:
D. Siegel;B. Metzger
影响因子:
14.1
作者:
Capano, Collin D.;Tews, Ingo;Reddy, Sanjay
通讯作者:
Reddy, Sanjay
影响因子:
5
作者:
Lee Lindblom;Nathaniel M. Indik
通讯作者:
Nathaniel M. Indik
影响因子:
3.4
作者:
K. Cannon;S. Caudill;C. Chan;B. Cousins;J. Creighton;B. Ewing;H. Fong;P. Godwin;C. Hanna
通讯作者:
K. Cannon;S. Caudill;C. Chan;B. Cousins;J. Creighton;B. Ewing;H. Fong;P. Godwin;C. Hanna