Modeling equal and unequal mass binary neutron star mergers using public codes

Roberto De Pietri, Alessandra Feo, Francesco Maione, and Frank Löffler
Phys. Rev. D 93, 064047 – Published 21 March 2016

Abstract

We present three-dimensional simulations of the dynamics of binary neutron star mergers from the late stage of the inspiral process up to 20ms after the system has merged, either to form a hypermassive neutron star or a rotating black hole. We investigate five equal mass models of total gravitational mass 2.207, 2.373, 2.537, 2.697, and 2.854M, respectively, and four unequal mass models with MADM2.53M and q0.94, 0.88, 0.83, and 0.77 (where q=M(1)/M(2) is the mass ratio). We use a semirealistic equation of state, namely, the seven-segment piecewise polytropic SLyPP with a thermal component given by Γth=1.8. We have also compared the resulting dynamics (for one model) using both the BSSN-NOK and CCZ4 methods for the evolution of the gravitational sector and also different reconstruction methods for the matter sector, namely, PPM, WENO, and MP5. Our results show agreement at high resolution, but superiority of BSSN-NOK supplemented by WENO reconstruction at lower resolutions. One of the important characteristics of the present investigation is that for the first time it has been done using only publicly available open source software: the Einstein Toolkit code, deployed for the dynamical evolution, and the LORENE code, for the generation of the initial models. All of the source code and parameters used for the simulations have been made publicly available. This not only makes it possible to rerun and reanalyze our data but also enables others to directly build upon this work for future research.

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  • Received 6 October 2015

DOI:https://doi.org/10.1103/PhysRevD.93.064047

© 2016 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & Astrophysics

Authors & Affiliations

Roberto De Pietri, Alessandra Feo, and Francesco Maione

  • Parma University and INFN Parma, Parco Area delle Scienze 7/A, I-43124 Parma (PR), Italy

Frank Löffler

  • Center for Computation & Technology, Louisiana State University, Baton Rouge, Louisiana 70803, USA

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Issue

Vol. 93, Iss. 6 — 15 March 2016

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