Numerical relativity simulations of prompt collapse mergers: Threshold mass and phenomenological constraints on neutron star properties after GW170817

Rahul Kashyap, Abhishek Das, David Radice, Surendra Padamata, Aviral Prakash, Domenico Logoteta, Albino Perego, Daniel A. Godzieba, Sebastiano Bernuzzi, Ignazio Bombaci, Farrukh J. Fattoyev, Brendan T. Reed, André Da Silva Schneider

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

We determine the threshold mass for prompt (no bounce) black hole formation in equal-mass neutron star (NS) mergers using a new set of 227 numerical relativity simulations. We consider 23 phenomenological and microphysical finite-temperature equations of state (EOS), including models with hyperons and first-order phase transitions to deconfined quarks. We confirm the existence of EOS-insensitive relations between the threshold mass, binary tidal parameter at the threshold (Λth), maximum mass of nonrotating NSs, and radii of reference mass NSs. We combine the EOS-insensitive relations, phenomenological constraints on NS properties, and observational data from GW170817 to derive an improved lower limit on radii of maximum mass and a 1.6 M⊙ NS of 9.81 and 10.90 km, respectively. We also constrain the radius and quadrupolar tidal deformability (Λ) of a 1.4 M⊙ NS to be larger than 10.74 km and 172, respectively. We consider uncertainties in all independent parameters - fitting coefficients as well as GW170817 masses while reporting the range of radii constraints. We discuss an approach to constrain the upper as well as lower limit of NS maximum mass using future binary NS detections and their identification as prompt or delayed collapse. With future observations, it will be possible to derive even tighter constraints on the properties of matter at and above nuclear density using the method proposed in this work.

Original languageEnglish (US)
Article number103022
JournalPhysical Review D
Volume105
Issue number10
DOIs
StatePublished - May 15 2022

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics

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