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Eirini Angeloudi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1

Across the 1 of 3 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA3
ORCID 0009-0002-9769-0388

identity via Semantic Scholar / OpenAlex

most citedERGO-ML: Towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic maps

14 citations · 21 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.GA2024

Constraints on the in-situ and ex-situ stellar masses in nearby galaxies with Artificial Intelligence

Eirini Angeloudi, Jesús Falcón-Barroso, Marc Huertas-Company +4

The hierarchical model of galaxy evolution suggests that the impact of mergers is substantial on the intricate processes that drive stellar assembly within a galaxy. However, accur…

astro-ph.GA2023★ 14 cited

ERGO-ML: Towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic maps

Eirini Angeloudi, Jesús Falcón-Barroso, Marc Huertas-Company +4

Quantifying the contribution of mergers to the stellar mass of galaxies is key for constraining the mechanisms of galaxy assembly across cosmic time. However, the mapping between o…

astro-ph.GA2023★ 7 cited

Galaxy Morphology from z∼6 through the eyes of JWST

M. Huertas-Company, K. G. Iyer, E. Angeloudi +26

We analyze the Near Infrared (∼0.8−1μm) rest-frame morphologies of galaxies with logM∗​/M⊙​>9 in the redshift range 0<z<6, compare with previous HST-based results an…

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