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Davide GizziPostdoc

About me

PhD student in the group of Stephan Rosswog.

My research interest is in compact binaries and high energy astrophysical phenomena.

My research project is aimed at modeling neutrino-driven winds from binary neutron star mergers for different Equation Of States and binary parameters. This requires the modeling of the neutrino transport, which is performed by means of the Advanced Spectral neutrino Leakage scheme.


During the third year of my PhD, I have been the tutor of the Bachelor course 'Digital tools', aimed at introducing the Unix system, Latex and Python.


My research project focuses on modeling neutrino driven-winds from binary neutron star mergers.  These winds are thought to be behind the observed blue kilonova following GW170817. The main ingredients to model neutrino driven-winds are hydrodynamics and, most importantly, neutrino transport. The latter covers the main part of the project.


A selection from Stockholm University publication database

  • A multidimensional implementation of the Advanced Spectral neutrino Leakage scheme

    2019. Davide Gizzi (et al.). Monthly notices of the Royal Astronomical Society 490 (3), 4211-4229


    We present a new, multidimensional implementation of the Advanced Spectral Leakage (ASL) scheme with the purpose of modelling neutrino–matter interactions in neutron star mergers. A major challenge is the neutrino absorption in the semitransparent regime, which is responsible for driving winds from the merger remnant. The composition of such winds is crucial in the understanding of the electromagnetic emission in the recently observed macronova following GW170817. Compared to the original version, we introduce an optical-depth-dependent flux factor to model the average angle of neutrino propagation, and a modulation that accounts for flux anisotropies in non-spherical geometries. We scrutinize our approach by first comparing the new scheme against the original one for a spherically symmetric core-collapse supernova snapshot, both in 1D and in 3D, and additionally against a two-moment (M1) scheme as implemented in 1D into the code GR1D. The luminosities and mean energies agree to a few per cents in most tests. Finally, for the case of a binary merger remnant snapshot we compare the new ASL scheme with the M1 scheme that is implemented in the Eulerian adaptive mesh refinement code FLASH. We find that the neutrino absorption distribution in the semitransparent regime is overall well reproduced. Both approaches agree to within 15 per cent for the average energies and to better than ∼ 35 per cent in the total luminosities.

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