The Role of Fission in Neutron Star Mergers and its Impact on the r-Process Peaks
Marius Eichler, Almudena Arcones, Alexandra Kelic, Oleg Korobkin,, Karlheinz Langanke, Tomislav Marketin, Gabriel Martinez-Pinedo, Igor V., Panov, Thomas Rauscher, Stephan Rosswog, Christian Winteler, Nikolaj T., Zinner, Friedrich-Karl Thielemann

TL;DR
This study examines how different nuclear physics inputs, especially fission processes and half-lives, influence the predicted abundance patterns of heavy elements produced in neutron star mergers, focusing on the r-process peaks.
Contribution
It compares the effects of three nuclear mass models and four fission fragment distributions on r-process nucleosynthesis predictions, highlighting the impact on abundance peaks and the shift in the third peak.
Findings
Fission during freeze-out causes a shift in the third r-process peak.
Different nuclear mass models significantly affect abundance predictions.
Recent beta-decay data can mitigate peak shifts and alter abundance distributions.
Abstract
Comparing observational abundance features with nucleosynthesis predictions of stellar evolution or explosion simulations can scrutinize two aspects: (a) the conditions in the astrophysical production site and (b) the quality of the nuclear physics input utilized. We test the abundance features of r-process nucleosynthesis calculations for the dynamical ejecta of neutron star merger simulations based on three different nuclear mass models: The Finite Range Droplet Model (FRDM), the (quenched version of the) Extended Thomas Fermi Model with Strutinsky Integral (ETFSI-Q), and the Hartree-Fock-Bogoliubov (HFB) mass model. We make use of corresponding fission barrier heights and compare the impact of four different fission fragment distribution models on the final r-process abundance distribution. In particular, we explore the abundance distribution in the second r-process peak and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
