Open this publication in new window or tab >>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
2021-04-232021-03-262022-02-25Bibliographically approved