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Published November 1, 2018 | Supplemental Material + Published + Submitted
Journal Article Open

Constraints on the neutron star equation of state from AT2017gfo using radiative transfer simulations

Abstract

The detection of the binary neutron star merger GW170817 together with the observation of electromagnetic counterparts across the entire spectrum inaugurated a new era of multimessenger astronomy. In this study, we incorporate wavelength-dependent opacities and emissivities calculated from atomic-structure data enabling us to model both the measured light curves and spectra of the electromagnetic transient AT2017gfo. Best fits of the observational data are obtained by Gaussian Process Regression, which allows us to present posterior samples for the kilonova and source properties connected to GW170817. Incorporating constraints obtained from the gravitational wave signal measured by the LIGO-Virgo Scientific Collaboration, we present a 90 per cent upper bound on the mass ratio q ≲ 1.38 and a lower bound on the tidal deformability of Λ ≳ 197, which rules out sufficiently soft equations of state. Our analysis is a path-finder for more realistic kilonova models and shows how the combination of gravitational wave and electromagnetic measurements allow for stringent constraints on the source parameters and the supranuclear equation of state.

Additional Information

© 2018 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 2018 August 7. Received 2018 August 07; in original form 2018 May 25. Published: 09 August 2018. MC is supported by the David and Ellen Lee Postdoctoral Fellowship at the California Institute of Technology. TD acknowledges support by the European Union's Horizon 2020 research and innovation programme under grant agreement no. 749145, BNSmergers. ZD is supported by NSF Graduate Research Fellowship grant DGE-1144082. SJS acknowledges funding from STFC grant ST/P000312/1. AJ acknowledges funding by the European Union's Framework Program for Research and Innovation Horizon 2020 under Marie Sklodowska-Curie grant agreement no. 702538. GL is supported by a research grant (19054) from VILLUM FONDEN. ROS is supported by NSF award PHY-1707965.

Attached Files

Published - sty2174.pdf

Submitted - 1805.09371.pdf

Supplemental Material - sty2174_supplemental_files.zip

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Created:
August 19, 2023
Modified:
October 19, 2023