Takip et
Giuseppe Riccio
Giuseppe Riccio
INAF - OACN
inaf.it üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Euclid preparation-i. the euclid wide survey
R Scaramella, J Amiaux, Y Mellier, C Burigana, CS Carvalho, ...
Astronomy & Astrophysics 662, A112, 2022
3752022
The Hi-GAL compact source catalogue – I. The physical properties of the clumps in the inner Galaxy (−710 < ℓ < 670)
D Elia, S Molinari, E Schisano, M Pestalozzi, S Pezzuto, M Merello, ...
Monthly Notices of the Royal Astronomical Society 471 (1), 100-143, 2017
1892017
Euclid preparation: IX. EuclidEmulator2 – power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations
Euclid Collaboration, M Knabenhans, J Stadel, D Potter, J Dakin, ...
Monthly Notices of the Royal Astronomical Society 505 (2), 2840-2869, 2021
1462021
Euclid preparation-X. The Euclid photometric-redshift challenge
G Desprez, S Paltani, J Coupon, I Almosallam, A Alvarez-Ayllon, V Amaro, ...
Astronomy & Astrophysics 644, A31, 2020
852020
Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation
O Laurino, R D’Abrusco, G Longo, G Riccio
Monthly Notices of the Royal Astronomical Society 418 (4), 2165-2195, 2011
702011
Euclid preparation-XVIII. The NISP photometric system
M Schirmer, K Jahnke, G Seidel, H Aussel, C Bodendorf, F Grupp, ...
Astronomy & Astrophysics 662, A92, 2022
672022
The Hi-GAL catalogue of dusty filamentary structures in the Galactic plane
E Schisano, S Molinari, D Elia, M Benedettini, L Olmi, S Pezzuto, ...
Monthly Notices of the Royal Astronomical Society 492 (4), 5420-5456, 2020
662020
An analysis of feature relevance in the classification of astronomical transients with machine learning methods
A D'Isanto, S Cavuoti, M Brescia, C Donalek, G Longo, G Riccio, ...
Monthly Notices of the Royal Astronomical Society 457 (3), 3119-3132, 2016
632016
Euclid preparation-XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields
A Moneti, HJ McCracken, M Shuntov, OB Kauffmann, P Capak, I Davidzon, ...
Astronomy & Astrophysics 658, A126, 2022
602022
Euclid preparation-XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis
S Ilić, N Aghanim, C Baccigalupi, JR Bermejo-Climent, G Fabbian, ...
Astronomy & Astrophysics 657, A91, 2022
532022
Euclid preparation-XIX. Impact of magnification on photometric galaxy clustering
F Lepori, I Tutusaus, C Viglione, C Bonvin, S Camera, FJ Castander, ...
Astronomy & Astrophysics 662, A93, 2022
522022
CLASH-VLT: Abell S1063-Cluster assembly history and spectroscopic catalogue
A Mercurio, P Rosati, A Biviano, M Annunziatella, M Girardi, B Sartoris, ...
Astronomy & Astrophysics 656, A147, 2021
462021
Star formation rates for photometric samples of galaxies using machine learning methods
M Delli Veneri, S Cavuoti, M Brescia, G Longo, G Riccio
Monthly Notices of the Royal Astronomical Society 486 (1), 1377-1391, 2019
362019
Feature selection based on machine learning in MRIs for hippocampal segmentation
S Tangaro, N Amoroso, M Brescia, S Cavuoti, A Chincarini, R Errico, ...
Computational and mathematical methods in medicine 2015 (1), 814104, 2015
352015
Euclid preparation. XIV. The complete calibration of the color–redshift relation (C3R2) survey: data release 3
SA Stanford, D Masters, B Darvish, D Stern, JG Cohen, P Capak, ...
The Astrophysical Journal Supplement Series 256 (1), 9, 2021
342021
A comparison of photometric redshift techniques for large radio surveys
RP Norris, M Salvato, G Longo, M Brescia, T Budavari, S Carliles, ...
Publications of the Astronomical Society of the Pacific 131 (1004), 108004, 2019
332019
Improving the reliability of photometric redshift with machine learning
O Razim, S Cavuoti, M Brescia, G Riccio, M Salvato, G Longo
Monthly Notices of the Royal Astronomical Society 507 (4), 5034-5052, 2021
302021
Photometric redshifts with machine learning, lights and shadows on a complex data science use case
M Brescia, S Cavuoti, O Razim, V Amaro, G Riccio, G Longo
Frontiers in Astronomy and Space Sciences 8, 658229, 2021
302021
Euclid preparation-XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models
H Bretonnière, A Boucaud, F Lanusse, E Jullo, E Merlin, D Tuccillo, ...
Astronomy & Astrophysics 657, A90, 2022
282022
Euclid preparation. X. The Euclid photometric-redshift challenge
E Collaboration, G Desprez, S Paltani, J Coupon, I Almosallam, ...
Astronomy & Astrophysics 644, 2020
272020
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