Modeling Kilonova Light Curves: Dependence on Nuclear Inputs
Y. L. Zhu, K. Lund, J. Barnes, T. M. Sprouse, N. Vassh, G. C., McLaughlin, M. R. Mumpower, and R. Surman

TL;DR
This paper investigates how uncertainties in nuclear physics inputs affect the modeling of kilonova light curves, revealing significant variability in predicted luminosities and ejected mass estimates.
Contribution
It systematically analyzes the impact of different nuclear input combinations on kilonova light curve predictions, highlighting key nuclear processes affecting electromagnetic signals.
Findings
Nuclear physics uncertainties cause at least one order of magnitude variation in heating and luminosity.
Key nuclei undergoing decay processes are identified as critical for modeling kilonova signals.
Uncertainty in inferred ejecta mass can reach a factor of eight due to nuclear input variations.
Abstract
The mergers of binary neutron stars, as well as black hole-neutron star systems, are expected to produce an electromagnetic counterpart that can be analyzed to infer the element synthesis that occurred in these events. We investigate one source of uncertainties pertinent to lanthanide-rich outflows: the nuclear inputs to rapid neutron capture nucleosynthesis calculations. We begin by examining thirty-two different combinations of nuclear inputs: eight mass models, two types of spontaneous fission rates, and two types of fission daughter product distributions. We find that such nuclear physics uncertainties typically generate at least one order of magnitude uncertainty in key quantities such as the nuclear heating (one and a half orders of magnitude at one day post-merger), the bolometric luminosity (one order of magnitude at five days post-merger), and the inferred mass of material from…
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