2020
DOI: 10.1126/science.abb4317
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Multimessenger constraints on the neutron-star equation of state and the Hubble constant

Abstract: Observations of neutron-star mergers with distinct messengers, including gravitational waves and electromagnetic signals, can be used to study the behavior of matter denser than an atomic nucleus and to measure the expansion rate of the Universe as quantified by the Hubble constant. We performed a joint analysis of the gravitational-wave event GW170817 with its electromagnetic counterparts AT2017gfo and GRB170817A, and the gravitational-wave event GW190425, both originating from neutron-star mergers. We combin… Show more

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citations
Cited by 346 publications
(336 citation statements)
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References 106 publications
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“…Interestingly, the most probable hadron-quark transition density ρ t /ρ 0 = 1.6 +1.2 −0.4 was found to be rather low, while the transition strength ∆ε/ε t = 0.4 +0. 20 −0.15 was modest and the speed of sound in QM c 2 QM /c 2 = 0.95 +0.05 −0.35 very high. The latter is understandable as the most probable transition density is very low, so the stiffness of QM EOS represented by its c 2 QM value has to be high enough to support the neutron star with a large QM core.…”
Section: Bayesian Inference Of Hadronic and Quark Matter Eos Parameters From Observations Of Canonical Neutron Starsmentioning
confidence: 95%
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“…Interestingly, the most probable hadron-quark transition density ρ t /ρ 0 = 1.6 +1.2 −0.4 was found to be rather low, while the transition strength ∆ε/ε t = 0.4 +0. 20 −0.15 was modest and the speed of sound in QM c 2 QM /c 2 = 0.95 +0.05 −0.35 very high. The latter is understandable as the most probable transition density is very low, so the stiffness of QM EOS represented by its c 2 QM value has to be high enough to support the neutron star with a large QM core.…”
Section: Bayesian Inference Of Hadronic and Quark Matter Eos Parameters From Observations Of Canonical Neutron Starsmentioning
confidence: 95%
“…By comparing Equation (19) with the first relation of Equation (22) or Equation (20) with the second relation of Equation (22), one can immediately find that if the new expansion element ν sym is constructed reasonably, the dependence of E sym (ρ f ) on K sym or J sym at high densities should be reduced, as compared with the conventional approach, where the expansion element χ is unbounded from above.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
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“…At this point, we have two optional features implemented. The first employs automated fits to kilonova light curve model grids, such as those provided by Kasen et al (2017) and Bulla (2019), combined with a Gaussian Process Regression framework (Coughlin et al 2018(Coughlin et al , 2019aDietrich et al 2020). In particular, due to the limited number of light curve points, we reduce dimensionality with single component light curve models by default; however, multiple component models with both "dynamical ejecta" and disk winds driven by neutrino energy, magnetic fields, viscous evolution and/or nuclear recombination are also available (e.g., Metzger et al 2008;Bauswein et al 2013;Dietrich & Ujevic 2017;Siegel & Metzger 2017).…”
Section: Kilonova Model Fittingmentioning
confidence: 99%
“…With a Bayesian analysis (Pang et al, in preparation) on the data with a light curve model of a GRB afterglow (Ryan et al 2020), kilonova (Dietrich et al 2020) and the combination of both, the evidence for these 3 hypotheses are estimated. The Bayes factors for GRB afterglow against the combination of GRB afterglow and kilonova is found to be ∼ 10 3.42±0.08 .…”
Section: Optical and Near-infraredmentioning
confidence: 99%