volume 9 issue 1 publication number 1

Neutrino transport in general relativistic neutron star merger simulations

Publication typeJournal Article
Publication date2023-02-23
SJR
CiteScore
Impact factor
ISSN23650524, 23673621
General Medicine
Abstract

Numerical simulations of neutron star–neutron star and neutron star–black hole binaries play an important role in our ability to model gravitational-wave and electromagnetic signals powered by these systems. These simulations have to take into account a wide range of physical processes including general relativity, magnetohydrodynamics, and neutrino radiation transport. The latter is particularly important in order to understand the properties of the matter ejected by many mergers, the optical/infrared signals powered by nuclear reactions in the ejecta, and the contribution of that ejecta to astrophysical nucleosynthesis. However, accurate evolutions of the neutrino transport equations that include all relevant physical processes remain beyond our current reach. In this review, I will discuss the current state of neutrino modeling in general relativistic simulations of neutron star mergers and of their post-merger remnants. I will focus on the three main types of algorithms used in simulations so far: leakage, moments, and Monte-Carlo scheme. I will review the advantages and limitations of each scheme, as well as the various neutrino–matter interactions that should be included in simulations. We will see that the quality of the treatment of neutrinos in merger simulations has greatly increased over the last decade, but also that many potentially important interactions remain difficult to take into account in simulations (pair annihilation, oscillations, inelastic scattering).

Found 
Found 

Top-30

Journals

5
10
15
20
25
30
Physical Review D
26 publications, 45.61%
Physical Review C
6 publications, 10.53%
Classical and Quantum Gravity
3 publications, 5.26%
Astrophysical Journal
3 publications, 5.26%
Physical Review Letters
3 publications, 5.26%
Springer Series in Astrophysics and Cosmology
3 publications, 5.26%
Astrophysical Journal, Supplement Series
1 publication, 1.75%
European Physical Journal A
1 publication, 1.75%
Journal of High Energy Physics
1 publication, 1.75%
Progress in Particle and Nuclear Physics
1 publication, 1.75%
Astronomy and Astrophysics
1 publication, 1.75%
Astrophysical Journal Letters
1 publication, 1.75%
Journal of Computational Physics
1 publication, 1.75%
Journal of Cosmology and Astroparticle Physics
1 publication, 1.75%
Universe
1 publication, 1.75%
Physical Review Research
1 publication, 1.75%
Quantum
1 publication, 1.75%
5
10
15
20
25
30

Publishers

5
10
15
20
25
30
35
40
American Physical Society (APS)
36 publications, 63.16%
American Astronomical Society
5 publications, 8.77%
Springer Nature
5 publications, 8.77%
IOP Publishing
4 publications, 7.02%
Elsevier
3 publications, 5.26%
EDP Sciences
1 publication, 1.75%
MDPI
1 publication, 1.75%
Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften
1 publication, 1.75%
5
10
15
20
25
30
35
40
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
57
Share
Cite this
GOST |
Cite this
GOST Copy
Foucart F. Neutrino transport in general relativistic neutron star merger simulations // Living Reviews in Computational Astrophysics. 2023. Vol. 9. No. 1. 1
GOST all authors (up to 50) Copy
Foucart F. Neutrino transport in general relativistic neutron star merger simulations // Living Reviews in Computational Astrophysics. 2023. Vol. 9. No. 1. 1
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1007/s41115-023-00016-y
UR - https://doi.org/10.1007/s41115-023-00016-y
TI - Neutrino transport in general relativistic neutron star merger simulations
T2 - Living Reviews in Computational Astrophysics
AU - Foucart, Francois
PY - 2023
DA - 2023/02/23
PB - Springer Nature
IS - 1
VL - 9
PMID - 36852009
SN - 2365-0524
SN - 2367-3621
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Foucart,
author = {Francois Foucart},
title = {Neutrino transport in general relativistic neutron star merger simulations},
journal = {Living Reviews in Computational Astrophysics},
year = {2023},
volume = {9},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1007/s41115-023-00016-y},
number = {1},
pages = {1},
doi = {10.1007/s41115-023-00016-y}
}