BibTeX

@article{2411.17269v1,
Author        = {Giuseppe Viterbo and Tobias Buck},
Title         = {CASBI -- Chemical Abundance Simulation-Based Inference for Galactic
  Archeology},
Eprint        = {2411.17269v1},
ArchivePrefix = {arXiv},
PrimaryClass  = {astro-ph.GA},
Abstract      = {Galaxies evolve hierarchically through merging with lower-mass systems and
the remnants of destroyed galaxies are a key indicator of the past assembly
history of our Galaxy. However, accurately measuring the properties of the
accreted galaxies and hence unraveling the Milky Way's (MW) formation history
is a challenging task. Here we introduce CASBI (Chemical Abundance Simulation
Based Inference), a novel inference pipeline for Galactic Archeology based on
Simulation-based Inference methods. CASBI leverages on the fact that there is a
well defined mass-metallicity relation for galaxies and performs inference of
key galaxy properties based on multi-dimensional chemical abundances of stars
in the stellar halo. Hence, we recast the problem of unraveling the merger
history of the MW into a SBI problem to recover the properties of the building
blocks (e.g. total stellar mass and infall time) using the multi-dimensional
chemical abundances of stars in the stellar halo as observable. With CASBI we
are able to recover the full posterior probability of properties of building
blocks of Milky Way like galaxies. We highlight CASBI's potential by inferring
posteriors for the stellar masses of completely phase mixed dwarf galaxies
solely from the 2d-distributions of stellar abundance in the iron vs. oxygen
plane and find accurate and precise inference results.},
Year          = {2024},
Month         = {Nov},
Url           = {http://arxiv.org/abs/2411.17269v1},
File          = {2411.17269v1.pdf}
}