Quantifying the uncertainties of chemical evolution studies. II. Stellar yields
D. Romano, A. I. Karakas, M. Tosi, F. Matteucci

TL;DR
This paper assesses how uncertainties in stellar yields impact chemical evolution models, highlighting the need to incorporate processes like rotation and hot bottom burning for more accurate predictions.
Contribution
It systematically quantifies the uncertainties in chemical evolution predictions due to different stellar nucleosynthesis assumptions, emphasizing the importance of including rotation and hot bottom burning.
Findings
Large uncertainties affect predictions for most elements.
Uncertainties stem from supernova explosion models, stellar rotation, and convection treatments.
Inclusion of rotation and hot bottom burning is crucial for accurate models.
Abstract
This is the second paper of a series which aims at quantifying the uncertainties in chemical evolution model predictions related to the underlying model assumptions. Specifically, it deals with the uncertainties due to the choice of the stellar yields. We adopt a widely used model for the chemical evolution of the Galaxy and test the effects of changing the stellar nucleosynthesis prescriptions on the predicted evolution of several chemical species. We find that, except for a handful of elements whose nucleosynthesis in stars is well understood by now, large uncertainties still affect the model predictions. This is especially true for the majority of the iron-peak elements, but also for much more abundant species such as carbon and nitrogen. The main causes of the mismatch we find among the outputs of different models assuming different stellar yields and among model predictions and…
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.
