
5
with αvis = 0.03. We switch to this viscosity model 5 ms
post-merger, after formation of a clear accretion disk.
This subgrid model is expected to qualitatively cap-
ture heating and angular momentum transport. It does
not however capture the effects of a large scale magnetic
field. Accordingly, we cannot use this model to study rel-
ativistic jets, gamma-ray bursts, or magnetically-driven
winds. High-resolution 3D MHD simulations would be
required to accomplish those objectives.
Unless otherwise noted, all figures in this manuscript
for simulations LS220-178-106 and SFHo-178106 are for
the simulations including a subgrid viscosity model. The
simulations without viscosity performed for case LS220-
178-106 are only used to estimate the impact of that
model.
D. Neutrino transport
Neutrinos are evolved using our recently developed
Monte-Carlo algorithm [41]. In this algorithm, neutrino
packets directly sample the distribution function of neu-
trinos, allowing for the evolution of Boltzmann’s equa-
tions of radiation transport. Packets are emitted isotrop-
ically in the fluid frame, sampling the emission spectrum
of neutrinos, then propagate along geodesics. During this
propagation, each packet has a finite probability of being
absorbed or scattered by the fluid, determined by tab-
ulated values of the absorption and scattering opacities.
We consider 3 species of neutrinos: electron neutrinos
νe, electron antineutrinos ¯νe, and heavy-lepton neutri-
nos νx(which include muon and tau neutrinos and an-
tineutrinos). We use tables generated by the public code
NuLib [30]. We include in the reaction rates absorptions
of νeand ¯νeby neutrons and protons, elastic scattering of
all neutrinos on neutrons, protons, alpha particles, and
heavy nuclei, and emission of νxdue to e+e−pair an-
nihilation and nucleon-nucleon Bremsstrahlung. Inverse
reactions are all calculated assuming Kirchoff’s law. We
currently ignore pair processes for electron type neutri-
nos, inelastic scattering, and all types of neutrino oscil-
lations. Neutrino emissivities η, absorption opacities κa,
and scattering opacities κsare tabulated in 16 energy
bins (logarithmically spaced up to 528 MeV), 82 den-
sity bins (logarithmically spaced between 106and 1015.5
g/cc), 65 temperature bins (logarithmically spaced be-
tween 0.05 and 150 MeV) and 51 values of the electron
fraction Ye(linearly spaced between 0.01 and 0.6).
To handle the densest/hottest regions of neutron
stars, our Monte-Carlo algorithms makes two notable ap-
proximations. In regions with large scattering opacity
(κs∆t≥3), we do not perform each scattering event
individually, but instead directly move packets to a lo-
cation drawn from the solution of a diffusion equation
matching the outcome of individual scatterings in the
limit of many neutrino-matter interactions [42, 43]. In
regions with large absorption opacities (κa∆t≥0.5),
we reduce the absorption opacity while keeping the to-
tal opacity κa+κsand the equilibrium energy density
η/κaconstant [41]. This maintains the expected diffusion
rate of neutrinos through the star and their equilibrium
energy density, but effectively increase the equilibration
timescale of neutrinos from κ−1
ato (2∆t). This method,
inspired by implicit Monte-Carlo algorithms [44], has the
dual advantage of avoiding stiff coupling between the
neutrinos and the fluid and of avoiding large numbers
of emissions / absorptions during each time step. We
have verified that for the short timescales considered here
and the fluid configurations found in merger remnants,
this approximation likely introduces errors that are sig-
nificantly smaller than our current numerical errors [41].
We also note that this approximation is not used much in
the simulations presented in this manuscript, as the bi-
naries evolved in this work rapidly form a black hole-disk
system in which nearly all cells on our computational grid
are optically thin to neutrinos (even if the disk in its en-
tirety is not). This type or remnant is significantly easier
to evolve using Monte-Carlo methods than the neutron
star-disk remnants considered in our first Monte-Carlo
simulation [14]. A detailed discussion of our Monte-Carlo
algorithm can be found in [41].
In the simulations presented here, we use 106neutrino
packets per species up to the collision of the neutron
stars, and 4 ×107neutrino packets per species (107at
low resolution) thereafter. We note that this high num-
ber of packets is only really needed around the time of
the collapse of the remnant to a black hole. We have also
been able to evolve the post-merger remnant (after black
hole formation) with as few as 106packets, due to the rel-
atively low neutrino luminosity of the remnant and the
fact that it is optically thin to neutrinos. However, after
merger our numerical grid is large enough that evolving
more packets does not significant impact the cost of the
simulations (we use 5 ×106grid cells in our post-merger
evolution, and each fluid cell is significantly more expen-
sive to evolve than a MC packet).
During the collapse to a black hole, on the other hand,
a high number of packets is actually crucial to the sta-
bility of the evolution, at least with the distribution
of packets currently implemented in the SpEC code 1.
With those methods, the simulations are unstable with
(106,4×106) packets. With 107packets, shot noise re-
mains visible in the composition of the low-density re-
gions, and the average Yeof the outflows increases no-
ticeably (see results). With 4 ×107packets, shot noise
is only observed close to the black hole, and the compo-
sition of the outflows largely matches expectations for a
cold tidal tail unimpacted by neutrinos. We note how-
ever that the mass, temperature, and structure of the
post-merger accretion disk and the other properties of the
matter outflows are not notably impacted by the choice of
1It might be reasonable to simply ignore neutrino interactions in
the very high density, hot matter formed during collapse to a
black hole instead, but we have not so far attempted to do this