Tracing birth properties of stars with abundance clustering
Bridget L. Ratcliffe, Melissa K. Ness, Tobias Buck, Kathryn V., Johnston, Bodhisattva Sen, Leandro Beraldo e Silva, Victor P. Debattista

TL;DR
This study uses cosmological simulations and abundance clustering to trace stars' birth properties, demonstrating potential to infer their origins and galaxy formation history from chemical signatures.
Contribution
It introduces a method to link stellar chemical abundances to their birth location and time, improving understanding of galaxy evolution.
Findings
Abundance clusters can identify stars' birth radius and age with high precision.
Using 15-element abundances, up to 10 clusters can be distinguished despite observational errors.
Abundance clustering is ineffective in certain formation scenarios inconsistent with Milky Way observations.
Abstract
To understand the formation and evolution of the Milky Way disk, we must connect its current properties to its past. We explore hydrodynamical cosmological simulations to investigate how the chemical abundances of stars might be linked to their origins. Using hierarchical clustering of abundance measurements in two Milky Way-like simulations with distributed and steady star formation histories, we find that abundance clusters of stars comprise different groups in birth place () and time (age). Simulating observational abundance errors (0.05 dex), we find that to trace discrete groups of (, age) requires a large vector of abundances. Using 15-element abundances (Fe, O, Mg, S, Si, C, P, Mn, Ne, Al, N, V, Ba, Cr, Co), up to 10 clusters can be defined with 25% overlap in (, age). We build a simple model to show that it is…
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