activity
20212026
most citedMaNGIA: 10,000 mock galaxies for stellar population analysis

27 citations · 82 across the 9 of their papers we have counts for

collaborators

10 papers

astro-ph.IM2026

An Assessment of the Triangulation Capabilities of a Multi-Site All-Sky Infrared Camera Array

Abraham Loeb, Alex Delacroix, Ezra Kelderman +2

The Galileo Project operates three autonomous multi-camera observing sites near Las Vegas, Nevada, separated by baselines of and km, with the goal of characterizing the p…

astro-ph.GA2024

Simulation-based inference of the 2D ex-situ stellar mass fraction distribution of galaxies using variational autoencoders

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

Galaxies grow through star formation (in-situ) and accretion (ex-situ) of other galaxies. Reconstructing the relative contribution of these two growth channels is crucial for const…

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.IM2023★ 2 cited

A brief review of contrastive learning applied to astrophysics

Marc Huertas-Company, Regina Sarmiento, Johan Knapen

Reliable tools to extract patterns from high-dimensionality spaces are becoming more necessary as astronomical datasets increase both in volume and complexity. Contrastive Learning…

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 through the eyes of JWST

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

We analyze the Near Infrared (m) rest-frame morphologies of galaxies with in the redshift range , compare with previous HST-based results an…

astro-ph.CO2023★ 4 cited

On the nature of disks at high redshift seen by JWST/CEERS with contrastive learning and cosmological simulations

J. Vega-Ferrero, M. Huertas-Company, L. Costantin +26

Visual inspections of the first optical rest-frame images from JWST have indicated a surprisingly high fraction of disk galaxies at high redshifts. Here, we alternatively apply sel…

astro-ph.GA2022★ 27 cited

MaNGIA: 10,000 mock galaxies for stellar population analysis

Regina Sarmiento, Marc Huertas-Company, Johan H. Knapen +4

Modern astronomical observations give unprecedented access to the physical properties of nearby galaxies, including spatially resolved stellar populations. However, observations ca…

astro-ph.GA2022★ 5 cited

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar and APOGEE-2 Data

Abdurro'uf, Katherine Accetta, Conny Aerts +337

This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). DR17 contains the complete…

astro-ph.GA2021★ 23 cited

Capturing the physics of MaNGA galaxies with self-supervised Machine Learning

Regina Sarmiento, Marc Huertas-Company, Johan H. Knapen +4

As available data sets grow in size and complexity, advanced visualization tools enabling their exploration and analysis become more important. In modern astronomy, integral field…