D. A. D. Vaz, J. Brinchmann, S. Kamann, S. Saracino, P. A. C. Cunha, M. P. Júlio, 2026,
The MUSE-Faint survey: V. The binary fraction of Leo T,
Astronomy & Astrophysics, 708, 15
>> Abstract

Euclid Collaboration, A. Humphrey, P. A. C. Cunha, L. Bisigello, C. Tortora, M. Bolzonella, L. Pozzetti, M. Baes, B. R. Granett, A. Amara et al. (including: J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2025,
Euclid preparation: LXXV. Estimating galaxy physical properties using CatBoost chained regressors with attention,
Astronomy & Astrophysics, 702, 22
>> Abstract

A. M. A. Vale, A. Paulino-Afonso, A. Humphrey, P. A. C. Cunha, B. Ribeiro, B. Cerqueira, R. Carvajal, J. Fonseca, 2025,
A gradient boosting and broadband approach to finding Lyman-α emitting galaxies beyond narrowband surveys,
Astronomy & Astrophysics, 701, 18
>> Abstract

Euclid Collaboration, Y. Mellier, Abdurro'uf, J. A. Acevedo Barroso, A. Achúcarro, J. Adamek, R. Adam, G. E. Addison, N. Aghanim, M. Aguena et al. (including: I. S. Albuquerque, L. Atayde, P. P. Avelino, T. Barreiro, B. J. Barros, J. Brinchmann, F. Buitrago, A. S. C. Carvalho, C. S. Carvalho, D. Castelao, P. A. C. Cunha, A. C. da Silva, J. D. F. Dias, J. Dinis, J. Fonseca, A. Humphrey, F. S. N. Lobo, C. J. A. P. Martins, J. P. Mimoso, N. J. Nunes, D. M. Oliveira, P. Papaderos, A. Paulino-Afonso, J. Retre, A. Rozas-Fernández, I. Tereno), 2025,
Euclid: I. Overview of the Euclid mission,
Astronomy & Astrophysics, 697, 94
>> Abstract

P. A. C. Cunha, A. Humphrey, J. Brinchmann, A. Paulino-Afonso, L. Bisigello, M. Bolzonella, D. A. D. Vaz, 2025,
Exploring the physical properties of type II quasar candidates at intermediate redshifts with CIGALE,
Astronomy & Astrophysics, 696, 18
>> Abstract

Euclid Collaboration, A. Enia, M. Bolzonella, L. Pozzetti, A. Humphrey, P. A. C. Cunha, W. G. Hartley, F. Dubath, S. Paltani, X. Lopez Lopez et al. (including: J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho, C. J. A. P. Martins), 2024,
Euclid preparation: LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods,
Astronomy & Astrophysics, 691, 26
>> Abstract