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Neutrinos in generic binary neutron star configurations

Grant number: 19/26287-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): April 01, 2020
Effective date (End): March 31, 2022
Field of knowledge:Physical Sciences and Mathematics - Astronomy - Stellar Astrophysics
Principal Investigator:Maximiliano Ujevic Tonino
Grantee:Henrique Leonhard Gieg
Home Institution: Centro de Ciências Naturais e Humanas (CCNH). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil

Abstract

Binary Neutrons Star (BNS) evolutions are regarded as a research topic of central importance due to two major reasons: (i) the scientific revolution represented by the direct detection of Gravitational Waves (GW) and Electromagnetic (EM) signals from the same event (a BNS merger) in 2017 and (ii) the potential of such systems as natural laboratories for Physics under extreme conditions. The EM and GW signals produced during a BNS inspiral and merger carry a broad variety of information about its source, concerning from the neutron star matter behavior up to the very nature of spacetime. This project is founded on the search to extend our current abilitiy to theoretically approach generic BNSs configurations, aiming to implement modifications in already existent numerical routines of SGRID and BAM codes, which are employed by our group to perform computational simulations of BNS' late inspiral, merger and post-merger stages. These modifications consist in the addition of finite-temperature effects and neutrinos transport as manifestation of the weak-interaction, in order to model the underlying microphysics of neutron star matter. We intend to perform BNS evolutions combining the implemented enhancements and the exclusive features of SGRID and BAM codes (BNSs with rotation/precession, large orbital eccentricities and high mass ratios) for the purpose of extracting physical observables of interest such as the GWs, lightcurve estimates, the ejecta and remnant matter properties and finally the neutrinos distribution function. (AU)