Stellar Nucleosynthesis Nuclear Data Mining
Boris Pritychenko

TL;DR
This paper reviews nuclear reaction data and computational tools essential for modeling stellar nucleosynthesis, highlighting the importance of nuclear data in understanding element formation in the universe.
Contribution
It provides a comprehensive review of theoretical and experimental nuclear reaction data, databases, and computational tools used in modeling stellar nucleosynthesis processes.
Findings
Compilation of evaluated nuclear reaction data
Discussion of major nuclear reaction databases
Examples of nuclear data application in astrophysics
Abstract
Stellar nucleosynthesis is an important nuclear physics phenomenon that is responsible for presently observed chemical elements and isotope abundances. It is also one of the corner stone hypotheses that provides basis for our understanding of Nature. Its theoretical predictions are often verified through the astrophysical observation and comparison of calculated isotopic abundances with the observed values. These calculations depend heavily on the availability of nuclear reaction rate, cross section and decay data. In this work, we will provide a review of theoretical and experimental nuclear reaction data for Big Bang, stellar and explosive nucleosynthesis and modern computer tools. Examples of evaluated and compiled nuclear reaction data will be given. Major databases and their input in nuclear reaction calculations will be discussed.
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.
Taxonomy
TopicsNuclear physics research studies · Astronomical and nuclear sciences · Astro and Planetary Science
