Patricia Iglesias Navarro

Patricia Iglesias Navarro

she/her

PhD researcher in galaxy formation and evolution at the IAC. Working on Bayesian SED fitting, machine learning and simulation-based inference applied to JWST, Euclid and LSST.

Posts by Collection

portfolio

publications

Deriving the star formation histories of galaxies from spectra with simulation-based inference

Published in Astronomy & Astrophysics, 2024

We explore a simulation-based inference workflow to infer posterior distributions of metallicities and star formation histories from optical absorption spectra. Trained on MILES stellar population models, we achieve R²=0.97 for the time at which a galaxy formed 50% of its stellar mass, with posterior sampling in 10⁻⁴ s — up to five orders of magnitude faster than classical methods.

Recommended citation: Iglesias-Navarro, P., Huertas-Company, M., Martín-Navarro, I., Knapen, J. H., Pernet, E. (2024). A&A, 689, A58.

Simulation-based inference of galaxy properties from JWST pixels

Published in Astronomy & Astrophysics, 2025

We present an efficient Bayesian SED-fitting framework for multiwavelength pixel photometry from JWST/JADES using simulation-based inference. The pipeline produces spatially resolved maps of stellar population properties for 1083 galaxies and ~2 million pixels. We assess the outshining phenomenon and find limited impact except in low-mass galaxies.

Recommended citation: Iglesias-Navarro, P., Huertas-Company, M., Pérez-González, P., Knapen, J. H., et al. (2025). A&A, 703, A229.

A Pixel-by-Pixel Path to Population III Discovery with JWST

Published in arXiv, 2026

We present a pixel-by-pixel approach to search for Population III star signatures in JWST imaging using simulation-based inference.

Recommended citation: Iglesias-Navarro, P., Harvey, T., Huertas-Company, M., Lovell, C. C., Knapen, J. H., et al. (2026). arXiv:2606.30750.

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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