The History of R-Process Enrichment in the Milky Way
Sijing Shen (Cambridge), Ryan Cooke (UCSC), Enrico Ramirez-Ruiz, (UCSC), Piero Madau (UCSC), Lucio Mayer (U of Zurich), Javiera Guedes

TL;DR
This study uses a cosmological simulation of the Milky Way to explore the origins and history of r-process element enrichment, highlighting the role of compact binary mergers as a primary source.
Contribution
It demonstrates that compact binary mergers can enrich stars with r-process elements early in galaxy evolution, even with a minimum delay time of 100 Myr, and improves chemical evolution modeling.
Findings
Compact binary mergers can produce r-process elements in low-metallicity, early stars.
The model's agreement with observed chemical abundances improves with metal-mixing implementation.
The results suggest mergers could be the dominant r-process source in the Galaxy.
Abstract
We investigate the production sites and the enrichment history of -process elements in the Galaxy, as traced by the [Eu/Fe] ratio, using the high resolution, cosmological zoom-in simulation `Eris'. At , Eris represents a close analog to the Milky Way, making it the ideal laboratory to understand the chemical evolution of our Galaxy. Eris formally traces the production of oxygen and iron due to Type-Ia and Type-II supernovae. We include in post-processing the production of -process elements from compact binary mergers. Unlike previous studies, we find that the nucleosynthetic products from compact binary mergers can be incorporated into stars of very low metallicity and at early times, even with a minimum delay time of 100 Myr. This conclusion is relatively insensitive to modest variations in the merger rate, minimum delay time, and the delay time distribution. By implementing…
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.
