Email
fbuitrago@oal.ul.pt
Personal webpage
http://fbuitrago.github.io/

Biographic Notes
I am a FCT Fellow whose main research topic is the understanding of the most massive galaxies at all redshifts. These "monsters" were already formed at very large cosmic distances (> 12 Gyr!), being extremely compact disk-like galaxies and some of them "dead and dead" at this very early stage in the life of the Universe. My aim is to characterise how they transformed to the huge elliptical galaxies we see in the nearby Universe, while at the same time looking for new Physics in this metamorphosis.

Lastest publications at IA (or with IA Researchers)J. Vega-Ferrero, F. Buitrago, J. Fernández-Iglesias, S. Raji, B. Sahelices, H. Domínguez Sánchez, 2025,
Automated galaxy sizes in Euclid images using the Segment Anything Model,
Astronomy & Astrophysics, 693, 11
>> AbstractA. Contreras-Santos, F. Buitrago, A. Knebe, E. Rasia, F. R. Pearce, W. Cui, C. Power, J. Winstanley, 2024,
The Three Hundred: The existence of massive dark matter-deficient satellite galaxies in cosmological simulations,
Astronomy & Astrophysics, 690, 12
>> AbstractM. Huertas-Company, K. G. Iyer, E. Angeloudi, M. B. Bagley, S. L. Finkelstein, J. S. Kartaltepe, E. J. McGrath, R. Sarmiento, J. Vega-Ferrero, P. A. Haro et al. (including: F. Buitrago), 2024,
Galaxy morphology from z ∼ 6 through the lens of JWST,
Astronomy & Astrophysics, 685, 28
>> AbstractJ. Fernández-Iglesias, F. Buitrago, B. Sahelices, 2024,
Detecting the edges of galaxies with deep learning,
Acta Applicandae Mathematicae, 683, 23
>> AbstractF. Buitrago, I. Trujillo, 2024,
Strong size evolution of disc galaxies since z = 1. Readdressing galaxy growth using a physically motivated size indicator,
Astronomy & Astrophysics, 682, 22
>> AbstractJ. Vega-Ferrero, M. Huertas-Company, L. Costantin, Pablo G. Perez-Gonzalez, R. Sarmiento, J. S. Kartaltepe, A. Pillepich, M. B. Bagley, S. L. Finkelstein, E. J. McGrath et al. (including: F. Buitrago), 2024,
On the Nature of Disks at High Redshift Seen by JWST/CEERS with Contrastive Learning and Cosmological Simulations,
The Astrophysical Journal, 961, 28
>> Abstract