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Extension of the Advanced Spectral Leakage scheme for neutron star merger simulations
Stockholm University, Faculty of Science, Department of Astronomy. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).ORCID iD: 0000-0003-1686-1393
Stockholm University, Faculty of Science, Department of Astronomy. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Astronomy. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).ORCID iD: 0000-0002-8228-796x
Stockholm University, Faculty of Science, Department of Astronomy. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).ORCID iD: 0000-0002-3833-8520
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2021 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 505, no 2, p. 2575-2593Article in journal (Refereed) Published
Abstract [en]

We calibrate a neutrino transport approximation, called Advanced Spectral Leakage (ASL), with the purpose of modelling neutrino-driven winds in neutron star mergers. Based on a number of snapshots, we gauge the ASL parameters by comparing against both the two-moment (M1) scheme implemented in the FLASH code and the Monte Carlo neutrino code SEDONU. The ASL scheme contains three parameters, the least robust of which results to be a blocking parameter for electron neutrinos and antineutrinos. The parameter steering the angular distribution of neutrino heating is recalibrated compared to the earlier work. We also present a new, fast and mesh-free algorithm for calculating spectral optical depths, which, when using smoothed-particle hydrodynamics (SPH), makes the neutrino transport completely particle-based. We estimate a speed-up of a factor of ≳100 in the optical depth calculation when comparing to a grid-based approach. In the suggested calibration we recover luminosities and mean energies within 25 per cent. A comparison of the rates of change of internal energy and electron fraction in the neutrino-driven wind suggests comparable accuracies of ASL and M1, but a higher computational efficiency of the ASL scheme. We estimate that the ratio between the CPU hours spent on the ASL neutrino scheme and those spent on the hydrodynamics is ≲0.8 per time-step when considering the SPH code MAGMA2 as source code for the Lagrangian hydrodynamics, to be compared with a factor of 10 from the M1 in FLASH.

Place, publisher, year, edition, pages
2021. Vol. 505, no 2, p. 2575-2593
Keywords [en]
hydrodynamics, neutrinos, radiative transfer, stars: neutron, supernovae: general
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:su:diva-191474DOI: 10.1093/mnras/stab1432ISI: 000672803400077Scopus ID: 2-s2.0-85120582931OAI: oai:DiVA.org:su-191474DiVA, id: diva2:1538977
Available from: 2021-03-22 Created: 2021-03-22 Last updated: 2022-06-03Bibliographically approved
In thesis
1. The Advanced Spectral Leakage (ASL) scheme for simulations of merging neutron stars
Open this publication in new window or tab >>The Advanced Spectral Leakage (ASL) scheme for simulations of merging neutron stars
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The detection of a blue macronova following the event GW170817 has emphasized the role that neutrinos play in merging neutron stars. In particular, neutrinos are able to drive mass ejection, the so-called neutrino-driven winds, and change the neutron richness of the matter by absorption. Since the amount of neutrons in the ejecta sets the r-process nucleosynthesis and the matter opacity, the macronova signal arising from the decay of unstable r-process nuclei in the wind carries the signature of weak interactions in mergers as it shines in the optical wavelength band. However, other mass ejection channels have been shown to potentially contribute to this optical counterpart of the macronova. Looking forward to future, new macronovae detections, it is therefore important to systematically explore the impact of neutrino-driven winds in shaping macronovae light curves. For this purpose, in this thesis we introduce a computationally efficient neutrino scheme, called Advanced Spectral Leakage (ASL), that, together with hydrodynamic simulations of binary neutron star mergers, will allow to characterize macronovae and link the physics of binary neutron star mergers with observations. 

Place, publisher, year, edition, pages
Stockholm: Department of Astronomy, Stockholm University, 2021. p. 89
Keywords
hydrodynamics, radiative transfer, neutrinos, stars: neutron, supernovae: general
National Category
Astronomy, Astrophysics and Cosmology
Research subject
Astronomy
Identifiers
urn:nbn:se:su:diva-191475 (URN)978-91-7911-466-4 (ISBN)978-91-7911-467-1 (ISBN)
Public defence
2021-05-18, online via Zoom, public link is available at the department website, Stockholm, 14:00 (English)
Opponent
Supervisors
Available from: 2021-04-23 Created: 2021-03-26 Last updated: 2022-02-25Bibliographically approved

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Gizzi, DavideLundman, ChristofferO'Connor, EvanRosswog, Stephan

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