2-process Model and Residual Abundance Analysis of the Milky Way Massive Satellites
Sten Hasselquist, Christian R. Hayes, Emily J. Griffith, David, Weinberg, Tawny Sit, Rachael L. Beaton, Danny Horta

TL;DR
This study applies the 2-process model to Milky Way and satellite galaxy stars, revealing its effectiveness in characterizing abundance patterns and highlighting systematic differences likely due to gas inflow effects.
Contribution
It demonstrates the 2-process model's ability to accurately fit satellite galaxy abundances and explores the origins of abundance pattern differences between galaxies.
Findings
The model fits satellite galaxy data with small residuals across elements.
Large residuals occur when fitting the Milky Way sample, especially at high metallicity.
Differences in abundance patterns suggest gas inflow influenced the Milky Way's chemical evolution.
Abstract
The ``2-process Model'' is a promising technique for interpreting stellar chemical abundance data from large-scale surveys (e.g., SDSS-IV/V, GALAH), enabling more quantitative empirical studies of differences in chemical enrichment history between galaxies without relying on detailed yield and evolution models. In this work, we fit 2-process model parameters to (1) a luminous giant Milky Way (MW) sample and (2) stars comprising the Sagittarius Dwarf Galaxy (Sgr). We then use these two sets of model parameters to predict the abundances of 14 elements of stars belonging to the MW and in five of its massive satellite galaxies, analyzing the residuals between the predicted and observed abundances. We find that the model fit to (1) results in large residuals (0.1-0.3 dex) for most metallicity-dependent elements in the metal-rich ([Mg/H] -0.8) stars of the satellite galaxies. However, 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.
Taxonomy
TopicsSpacecraft Design and Technology · Space Satellite Systems and Control · Astro and Planetary Science
