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R-Process Nucleosynthesis in Neutron Star Merger Ejecta and Nuclear Dependences

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Handbook of Nuclear Physics
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Abstract

Despite the recent success of hydrodynamical simulations of binary compact objects, the details of r-processing in these events are still affected by a variety of uncertainties, including in particular those associated with the still complex nuclear physics description of exotic neutron-rich nuclei. R-process nucleosynthesis calculations require a reaction network consisting of about 5000 species from protons up to Z ≃ 110 lying between the valley of β-stability and the neutron drip line. Since only an extremely tiny amount of experimental data on neutron-rich nuclei produced during the r-process are known experimentally, theoretical models are crucial in providing the various predictions. Our capacity to predict fundamental nuclear ingredients, namely, nuclear masses, β-decay rates, radiative neutron capture rates, and fission probabilities, for all those 5000 nuclei is discussed in the present chapter. To analyze their impact on the r-process nucleosynthesis, a neutron star merger model including both the dynamical and wind ejecta and based on state-of-the-art hydrodynamical simulations is considered, and the model uncertainties are consistently propagated to illustrate their impact on the composition of the ejected material.

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Acknowledgements

SG acknowledges financial support from F.R.S.-FNRS (Belgium). This work has been supported by the Fonds de la Recherche Scientifique (FNRS, Belgium) and the Research Foundation Flanders (FWO, Belgium) under the EOS Project nr O022818F. Computational resources have been provided by the Consortium des Equipements de Calcul Intensif (CECI), funded by the Fonds de la Recherche Scientifique de Belgique (F.R.S.-FNRS) under Grant No. 2.5020.11 and by the Walloon Region.

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Goriely, S., Kullmann, I. (2023). R-Process Nucleosynthesis in Neutron Star Merger Ejecta and Nuclear Dependences. In: Tanihata, I., Toki, H., Kajino, T. (eds) Handbook of Nuclear Physics . Springer, Singapore. https://doi.org/10.1007/978-981-15-8818-1_91-1

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