Email
Andrew.Humphrey@astro.up.pt

Biographic Notes
Andrew Humphrey obtained his bachelor and PhD degrees from the University of Hertfordshire, and has worked at various institutes in Europe, the Americas and Asia, before moving to Porto with a Marie Curie Fellowship. Andrew's research interests include the formation/evolution of galaxies as probed by various phenomena, particularly Lyman-alpha nebulae, powerful active galaxies, and dusty star-forming galaxies at high-redshifts.

Publications
ADS public library

Lastest publications at IA (or with IA Researchers)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, L. Bisigello, M. Massimo, C. Tortora, S. Fotopoulou, V. Allevato, M. Bolzonella, C. Gruppioni, L. Pozzetti, G. Rodighiero et al. (including: P. A. C. Cunha, A. Humphrey, A. C. da Silva, J. Dinis, I. Tereno, C. S. Carvalho), 2024,
Euclid preparation. XLIX. Selecting active galactic nuclei using observed colours,
Astronomy & Astrophysics, 691, 24
>> 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
>> AbstractF. Zhong, N. R. Napolitano, C. Heneka, R. Zambelli, F. E. Bauer, N. Bouche, J. Comparat, Y. Kim, J. Krogager, M. Longhetti et al. (including: A. Humphrey), 2024,
Galaxy Spectra neural Network (GaSNet). II. Using deep learning for spectral classification and redshift predictions,
Monthly Notices of the Royal Astronomical Society, 532, 22
>> AbstractP. A. C. Cunha, A. Humphrey, J. Brinchmann, S. G. Morais, R. Carvajal, J. M. Gomes, I. Matute, A. Paulino-Afonso, 2024,
Identifying type II quasars at intermediate redshift with few-shot learning photometric classification,
Astronomy & Astrophysics, 687, 20
>> AbstractT. Signor, G. Rodighiero, L. Bisigello, M. Bolzonella, K. Caputi, E. Daddi, G. De Lucia, A. Enia, L. Gabarra, C. Gruppioni et al. (including: A. Humphrey, J. Brinchmann, A. C. da Silva, J. Dinis, I. Tereno), 2024,
Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees,
Astronomy & Astrophysics, 685, 18
>> Abstract