Lastest publications at CAUP/IAA. Humphrey,
P. A. C. Cunha,
A. Paulino-Afonso, S. Amarantidis,
R. Carvajal,
J. M. Gomes,
I. Matute,
P. Papaderos, 2023,
Improving machine learning-derived photometric redshifts and physical property estimates using unlabelled observations,
Monthly Notices of the Royal Astronomical Society, 520, 305 - 313
>> Abstract A. Humphrey, W. Kuberski, J. Bialek, N. Perrakis, W. Cools, N. Nuyttens, H. Elakhrass,
P. A. C. Cunha, 2022,
Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truth,
Monthly Notices of the Royal Astronomical Society: Letters, 517, L116 - L120
>> Abstract S. E. van Mierlo, K. Caputi, M. L. N. Ashby, H. Atek, M. Bolzonella, R. A. A. Bowler, G. Brammer, C. J. Conselice, J.-G. Cuby, P. Dayal et al. (
including: A. Humphrey,
J. Brinchmann,
A. C. da Silva,
I. Tereno,
C. S. Carvalho), 2022,
Euclid preparation. XXI. Intermediate-redshift contaminants in the search for z > 6 galaxies within the Euclid Deep Survey,
Astronomy & Astrophysics, 666, 27
>> AbstractP. A. C. Cunha,
A. Humphrey, 2022,
Photometric redshift-aided classification using ensemble learning,
Astronomy & Astrophysics, 666, 10
>> Abstract M. S. Cagliari, B. R. Granett, L. Guzzo, M. Bolzonella, L. Pozzetti, I. Tutusaus, S. Camera, A. Amara, N. Auricchio, R. Bender et al. (
including: I. Tereno,
A. Humphrey), 2022,
Euclid: Constraining ensemble photometric redshift distributions with stacked spectroscopy,
Astronomy & Astrophysics, 660, 16
>> AbstractP. Papaderos,
I. P. Breda,
A. Humphrey,
J. M. Gomes, B. Ziegler,
C. Pappalardo, 2022,
Inside-out star formation quenching and the need for a revision of bulge-disk decomposition concepts for spiral galaxies,
Astronomy & Astrophysics, 658, 20
>> Abstract