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Impact of level densities and γ-strength functions on r-process simulations

2023/05/05 by Francesco Pogliano, A. C. Larsen, Ann-Cecilie Larsen · 1 voice
Engineering · Physics and Astronomy · #Astronomical and nuclear sciences #Nuclear physics research studies #Nuclear reactor physics and engineering #nucl-th

paper · pdf · doi:10.1103/physrevc.108.025807

arxiv published 2023/05/05 · openalex publication_date 2023/08/14 · arxiv updated 2023/08/14 · openalex created_date 2023/08/15 · openalex updated_date 2026/08/01

Abstract

Studies attempting to quantify the sensitivity of the r-process abundances to nuclear input have to cope with the fact that the theoretical models they rely on, rarely come with confidence intervals. This problem has been dealt with by either estimating these intervals and propagating them statistically to the final abundances using reaction networks within simplified astrophysical models, or by running more realistic astrophysical simulations using different nuclear-physics models consistently for all the involved nuclei. Both of these approaches have their strengths and weaknesses. In this work, we run r-process calculations for five trajectories using 49 different neutron-capture rate models. Our results shed light on the importance of taking into account shell effects and pairing correlations in the network calculations.

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