4.7 Article

The Challenges Ahead for Multimessenger Analyses of Gravitational Waves and Kilonova: A Case Study on GW190425

期刊

ASTROPHYSICAL JOURNAL
卷 922, 期 2, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.3847/1538-4357/ac222d

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资金

  1. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO)
  2. NWO sectorplan
  3. NASA [80NSSC18K0565]
  4. DOE [DE-SC0020435]
  5. NSF [PHY1806278]
  6. National Science Foundation [1545949, 2012086, PHY-2010970]
  7. David and Lucille Packard Foundation
  8. Swedish Research Council [202003330]
  9. Natural Sciences and Engineering Research Council of Canada (NSERC) [RGPIN-2017-04286]
  10. Faculty of Science at the University of Alberta
  11. John Bahcall Fellowship at the Institute for Advanced Study
  12. Vetenskapsradet (Swedish Research Council) [638-2013-8993]
  13. Oskar Klein Centre for Cosmoparticle Physics

向作者/读者索取更多资源

In recent years, significant advances have been made in multimessenger astronomy, allowing for joint analyses of gravitational wave and electromagnetic data to provide additional constraints on the fundamental properties of binary progenitors and merger remnants. A new Bayesian framework has been proposed to allow inference of these properties while considering systematic modeling uncertainties. Enhanced mapping between binary progenitor and outflow properties, along with an increase in the quantity and quality of electromagnetic data, is necessary to break degeneracies in the fundamental source parameters.
In recent years, there have been significant advances in multimessenger astronomy due to the discovery of the first, and so far only confirmed, gravitational wave event with a simultaneous electromagnetic (EM) counterpart, as well as improvements in numerical simulations, gravitational wave (GW) detectors, and transient astronomy. This has led to the exciting possibility of performing joint analyses of the GW and EM data, providing additional constraints on fundamental properties of the binary progenitor and merger remnant. Here, we present a new Bayesian framework that allows inference of these properties, while taking into account the systematic modeling uncertainties that arise when mapping from GW binary progenitor properties to photometric light curves. We extend the relative binning method presented in Zackay et al. to include extrinsic GW parameters for fast analysis of the GW signal. The focus of our EM framework is on light curves arising from r-process nucleosynthesis in the ejected material during and after merger, the so-called kilonova, and particularly on black hole-neutron star systems. As a case study, we examine the recent detection of GW190425, where the primary object is consistent with being either a black hole or a neutron star. We show quantitatively how improved mapping between binary progenitor and outflow properties, and/or an increase in EM data quantity and quality are required in order to break degeneracies in the fundamental source parameters.

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