Towards accelerated nuclear-physics parameter estimation from binary neutron star mergers: Emulators for the Tolman-Oppenheimer-Volkoff equations

ORAL

Abstract

Gravitational-wave observations of binary neutron-star (BNS) mergers have the potential to revolutionize our understanding of the nuclear equation of state (EOS) and the fundamental interactions that determine its properties. However, Bayesian parameter estimation frameworks do not typically sample over microscopic nuclear-physics parameters that determine the EOS. One of the major hurdles in doing so is the computational cost involved in solving the neutron-star structure equations, known as the Tolman-Oppenheimer-Volkoff (TOV) equations. In this talk, we explore approaches to emulating solutions for the TOV equations: Multilayer Perceptrons (MLP), Gaussian Processes (GP), and a data-driven variant of the reduced basis method (RBM). We implement these emulators for three different parameterizations of the nuclear EOS, each with a different degree of complexity represented by the number of model parameters.

*B.T.R. was supported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project number 20230785PRD1. R.S. and D.A.B. acknowledge support from the Nuclear Physics from Multi-Messenger Mergers (NP3M) Focused Research Hub which is funded by the National Science Foundation under Grant Number 21-16686. R.S. acknowledges support from the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project number 20220541ECR. S.D., C.L.A., and I.T. were supported by the Laboratory Directed Research and Development program of Los Alamos National Laboratory under project number 20230315ER. I.T. was also supported by the U.S. Department of Energy, Office of Science, Office of Nuclear Physics, under contract No.~DE-AC52-06NA25396, and by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Scientific Discovery through Advanced Computing (SciDAC) NUCLEI program. P.G. was supported by the National Science Foundation CSSI program under Grant No. OAC-2004601 (BAND Collaboration), and Michigan State University and the Facility for Rare Isotope Beams. C.C. acknowledges support from NSF award PHY-2309356.

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Publication: Submitted to ApJ, arXiv:2405.20558

Presenters

  • Brendan T Reed

    • Los Alamos National Laboratory

Authors

  • Brendan T Reed

    • Los Alamos National Laboratory

  • Rahul Somasundaram

    • Syracuse University
    • Los Alamos National Lab (LANL), Syracuse University

  • Soumi De

    • Los Alamos National Laboratory

  • Cassandra L Armstrong

    • Los Alamos National Laboratory (LANL)

  • Pablo G Giuliani

    • Facility for Rare Isotopes Beams
    • Facility for Rare Isotope Beams

  • Collin D Capano

    • Syracuse University

  • Duncan A. Brown

    • Syracuse University

  • Ingo Tews

    • Los Alamos National Laboratory
    • Los Alamos National Laboratory (LANL)