17 citations · 58 across the 12 of their papers we have counts for
12 papers
A Pixel-by-Pixel Path to Population III Discovery with JWST
Patricia Iglesias-Navarro, Thomas Harvey, Marc Huertas-Company +11
The identification of the first generation of metal-free stars, known as Population III (Pop~III), remains a primary goal of modern observational astronomy. While JWST has discover…
JWST Advanced Deep Extragalactic Survey (JADES) Data Release 5: stellar population catalogue for galaxies in GOODS-N and GOODS-S
Qiao Duan, Sandro Tacchella, Benjamin D. Johnson +37
We present the galaxy stellar population catalogue from the JWST Advanced Deep Extragalactic Survey (JADES) Data Release 5 (DR5), providing homogeneous Bayesian inference of physic…
Simulation-based inference from the Lyman-alpha forest 1D power spectrum with CAMELS
Francesco Sinigaglia, Patricia Iglesias-Navarro, Matteo Viel
We perform for the first time full simulation-based inference on the Lyman- forest 1D power spectrum. In particular, we consider the prediction of the Lyman- forest $P_{\rm 1…
Euclid preparation: LXXXI. The impact of nonparametric star formation histories on spatially resolved galaxy property estimation using synthetic Euclid images
Euclid Collaboration, A. Nersesian, Abdurro'uf +283
We analyzed the spatially resolved and global star formation histories (SFHs) for a sample of 25 TNG50-SKIRT Atlas galaxies to assess the feasibility of reconstructing accurate SFH…
Flexible Simulation Based Inference for Galaxy Photometric Fitting with Synthesizer
Thomas Harvey, Christopher C. Lovell, Sophie Newman +13
We introduce Synference, a new, flexible Python framework for galaxy SED fitting using simulation-based inference (SBI). Synference leverages the Synthesizer package for flexible f…
Simulation-based inference of galaxy properties from JWST pixels
Patricia Iglesias-Navarro, Marc Huertas-Company, Pablo Pérez-González +6
We present an efficient Bayesian SED-fitting framework tailored to multiwavelength pixel photometry from the JWST Advanced Deep Extragalactic Survey (JADES). Our method employs sim…
Euclid Quick Data Release (Q1) Exploring galaxy properties with a multi-modal foundation model
Euclid Collaboration, M. Siudek, M. Huertas-Company +321
Modern astronomical surveys, such as the Euclid mission, produce high-dimensional, multi-modal data sets that include imaging and spectroscopic information for millions of galaxies…
Euclid Quick Data Release (Q1), A first look at the fraction of bars in massive galaxies at
Euclid Collaboration, M. Huertas-Company, M. Walmsley +336
Stellar bars are key structures in disc galaxies, driving angular momentum redistribution and influencing processes such as bulge growth and star formation. Quantifying the bar fra…
ZF-UDS-7329: A relic galaxy in the early Universe
Eduardo A. Hartmann, Ignacio Martín-Navarro, Marc Huertas-Company +4
The formation time scales of quiescent galaxies can be estimated in two different ways: by their star formation history and by their chemistry. Previously, the methods yielded conf…
Euclid preparation. LXVIII. Extracting physical parameters from galaxies with machine learning
Euclid Collaboration, I. Kovačić, M. Baes +287
The Euclid mission is generating a vast amount of imaging data in four broadband filters at high angular resolution. This will allow the detailed study of mass, metallicity, and st…
Deriving the star formation histories of galaxies from spectra with simulation-based inference
Patricia Iglesias-Navarro, Marc Huertas-Company, Ignacio Martín-Navarro +2
High-resolution galaxy spectra encode information about the stellar populations within galaxies. The properties of the stars, such as their ages, masses, and metallicities, provide…
The building up of observed stellar scaling relations of massive galaxies and the connection to black hole growth in the TNG50 simulation
S. Varma, M. Huertas-Company, A. Pillepich +7
[abridged] We study how mock-observed stellar morphological and structural properties of massive galaxies are built up between and in the TNG50 cosmological simulatio…