2019
DOI: 10.3847/1538-4365/ab09fc
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νbhlight: Radiation GRMHD for Neutrino-driven Accretion Flows

Abstract: The 2017 detection of the in-spiral and merger of two neutron stars was a landmark discovery in astrophysics. We now know that such mergers are central engines of short gamma ray bursts and sites of r-process nucleosynthesis, where the heaviest elements in our universe are formed. In the coming years, we expect many more such mergers. Modeling such systems presents a significant computational challenge along with the observational one. To meet this challenge, we present νbhlight, a scheme for solving general r… Show more

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Cited by 37 publications
(44 citation statements)
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“…We captured the output flux from the accretion disk simulations with νbhlight [16] as initial data for the kilonova expansion. [15]. The velocity is sampled at the times when particles exit the outflow boundary of the spherical grid.…”
Section: Astrophysical Modelmentioning
confidence: 99%
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“…We captured the output flux from the accretion disk simulations with νbhlight [16] as initial data for the kilonova expansion. [15]. The velocity is sampled at the times when particles exit the outflow boundary of the spherical grid.…”
Section: Astrophysical Modelmentioning
confidence: 99%
“…There are several mechanisms that can unbind neutron-rich matter from a BNS merger [14]. Here, we focus on the wind ejecta from a post-merger accretion disk [15]. Such a disk is left after the central hypermassive merger remnant collapses to a BH.…”
Section: Introductionmentioning
confidence: 99%
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“…The relevant radiation transfer problem must be solved, taking into account frequency dependence and directionality. In current models this is done at different levels of sophistication, starting from some kind of leakage scheme alongside a suitable closure condition for the moment expansion of the radiation stresses (recent examples include [31][32][33] with, in particular [34] paying attention to the multi-frequency aspects), increasing realism by considering the angular dependency (as in [35,36]) or taking a full-blown Monte-Carlo approach (as in [37][38][39]). In essence, the problem is complex and extremely expensive computationally.…”
Section: Going Furthermentioning
confidence: 99%