NuGrid Stellar Data Set. II. Stellar Yields from H to Bi for Stellar Models with Mzams = 1 to 25Msun and Z = 0.0001 to 0.02
C. Ritter, F. Herwig, S. Jones, M. Pignatari, C. Fryer, R. Hirschi

TL;DR
This paper extends the NuGrid stellar yield data set to include a broader range of initial masses and lower metallicities, using advanced stellar models to improve nucleosynthesis predictions across different stellar evolution stages.
Contribution
It provides an expanded, detailed set of stellar yields from 1 to 25 solar masses and multiple metallicities, incorporating updated physics and nucleosynthesis calculations for diverse stellar models.
Findings
Convective O-C shell mergers produce odd-Z elements P, Cl, K, Sc.
H-ingestion events at low metallicity lead to i-process nucleosynthesis.
The data set includes comprehensive yield tables and online access.
Abstract
We provide here a significant extension of the NuGrid Set 1 models in mass coverage and toward lower metallicity, adopting the same physics assumptions. The combined data set now includes the initial masses M/Msun = 1, 1.65, 2, 3, 4, 5, 6, 7, 12, 15, 20, 25 for Z = 0.02, 0.01, 0.006, 0.001, 0.0001 with alpha-enhanced composition for the lowest three metallicities. These models are computed with the MESA stellar evolution code and are evolved up to the AGB, the white dwarf stage, or until core collapse. The nucleosynthesis was calculated for all isotopes in post-processing with the NuGrid mppnp code. Explosive nucleosynthesis is based on semi-analytic 1D shock models. Metallicity-dependent mass loss, convective boundary mixing in low- and intermediate mass models and H and He core burning massive star models is included. Convective O-C shell mergers in some stellar models lead to 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.
