Implementing a new recovery scheme for primitive variables in the general relativistic magnetohydrodynamic code Spritz

Jay V. Kalinani, Riccardo Ciolfi, Wolfgang Kastaun, Bruno Giacomazzo, Federico Cipolletta, and Lorenzo Ennoggi
Phys. Rev. D 105, 103031 – Published 26 May 2022

Abstract

General relativistic magnetohydrodynamic (GRMHD) simulations represent a fundamental tool to probe various underlying mechanisms at play during binary neutron star (BNS) and neutron star (NS)—black hole (BH) mergers. Contemporary flux-conservative GRMHD codes numerically evolve a set of conservative equations based on “conserved” variables which then need to be converted back into the fundamental (“primitive”) variables. The corresponding conservative-to-primitive variable recovery procedure, based on root-finding algorithms, constitutes one of the core elements of such GRMHD codes. Recently, a new robust, accurate and efficient recovery scheme called RePrimAnd was introduced, which has demonstrated the ability to always converge to a unique solution. The scheme provides fine-grained error policies to handle invalid states caused by evolution errors, and also provides analytical bounds for the error of all primitive variables. In this work, we describe the technical aspects of implementing the RePrimAnd scheme into the GRMHD code spritz. To check our implementation as well as to assess the various features of the scheme, we perform a number of GRMHD tests in three dimensions. Our tests, which include critical cases such as a NS collapse to a BH as well as the early evolution (50ms) of a Fishbone-Moncrief BH-accrection disk system, show that RePrimAnd is able to support magnetized, low density environments with magnetic-to-fluid pressure ratios as high as 104, in situations where the previously used recovery scheme fails.

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  • Received 22 July 2021
  • Accepted 11 May 2022

DOI:https://doi.org/10.1103/PhysRevD.105.103031

© 2022 American Physical Society

Physics Subject Headings (PhySH)

Gravitation, Cosmology & AstrophysicsFluid Dynamics

Authors & Affiliations

Jay V. Kalinani1,2, Riccardo Ciolfi3,2, Wolfgang Kastaun4,5, Bruno Giacomazzo6,7,8, Federico Cipolletta9,10, and Lorenzo Ennoggi10

  • 1Università di Padova, Dipartimento di Fisica e Astronomia, Via Francesco Marzolo 8, I-35131 Padova, Italy
  • 2INFN, Sezione di Padova, Via Francesco Marzolo 8, I-35131 Padova, Italy
  • 3INAF, Osservatorio Astronomico di Padova, Vicolo dell’Osservatorio 5, I-35122 Padova, Italy
  • 4Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Callinstrasse 38, 30167 Hannover, Germany
  • 5Leibniz Universität Hannover, 30167 Hannover, Germany
  • 6Università degli Studi di Milano—Bicocca, Dipartimento di Fisica G. Occhialini, Piazza della Scienza 3, I-20126 Milano, Italy
  • 7INFN, Sezione di Milano-Bicocca, Piazza della Scienza 3, I-20126 Milano, Italy
  • 8INAF, Osservatorio Astronomico di Brera, Via E. Bianchi 46, I-23807 Merate (LC), Italy
  • 9Leonardo Corporate LABS, Via Raffaele Pieragostini 80, 16149 Genova (GE), Italy
  • 10Center for Computational Relativity and Gravitation, School of Mathematical Sciences, Rochester Institute of Technology, 85 Lomb Memorial Drive, Rochester, New York 14623, USA

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Issue

Vol. 105, Iss. 10 — 15 May 2022

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