Impact of an improved neutrino energy estimate on outflows in neutron star merger simulations
Francois Foucart, Evan O'Connor, Luke Roberts, Lawrence E. Kidder,, Harald P. Pfeiffer, Mark A. Scheel

TL;DR
This study improves neutrino energy estimates in neutron star merger simulations, revealing significant impacts on ejecta composition and electromagnetic signals, emphasizing the importance of accurate neutrino transport modeling.
Contribution
The paper introduces an enhanced neutrino energy estimation method by evolving neutrino number density, leading to more accurate predictions of ejecta composition in merger simulations.
Findings
Polar ejecta is less neutron-rich with the new method.
Electromagnetic signals depend on the observer's orientation.
Neutrino energy spectrum significantly affects observable merger properties.
Abstract
Binary neutron star mergers are promising sources of gravitational waves for ground-based detectors such as Advanced LIGO. Neutron-rich material ejected by these mergers may also be the main source of r-process elements in the Universe, while radioactive decays in the ejecta can power bright electromagnetic post-merger signals. Neutrino-matter interactions play a critical role in the evolution of the composition of the ejected material, which significantly impacts the outcome of nucleosynthesis and the properties of the associated electromagnetic signal. In this work, we present a simulation of a binary neutron star merger using an improved method for estimating the average neutrino energies in our energy-integrated neutrino transport scheme. These energy estimates are obtained by evolving the neutrino number density in addition to the neutrino energy and flux densities. We show that…
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