Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations w...
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
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Collaboration, Euclid , Enia, A , Bolzonella, M , Hartley, W G , Bardelli, S , Bisigello, L , Siudek, M , Tortora, C , Zamorani, G , Amara, A , Bender, R , Bonino, D , Brescia, M , Brinchmann, J , Camera, S , Castignani, G , Colodro-Conde, C , Congedo, G , Conversi, L , Copin, Y , Courbin, F , Courtois, H M , Dinis, J , Fabricius, M , Fotopoulou, S , Galeotta, S , Holmes, W , Hook, I , Hornstrup, A , Jahnke, K , Joachimi, B , Keihänen, E , Kermiche, S , Kunz, M , Lindholm, V , Maiorano, E , Marggraf, O , Markovic, K , Massey, R , Medinaceli, E , Mellier, Y , S -M Niemi , Pasian, F , Pettorino, V , Poncet, M , Popa, L A , Rebolo, R , Renzi, A , Rhodes, J , Riccio, G , Romelli, E , Rossetti, E , Saglia, R , Schneider, P , Scodeggio, M , Serrano, S , Sirignano, C , Sirri, G , Steinwagner, J , Tereno, I , Toledo-Moreo, R , Wang, Y , Zucca, E , Biviano, A , Calabrese, M , Escartin Vigo, J A , Pezzotta, A , Porciani, C , Scottez, V , Viel, M , Akrami, Y , Anselmi, S , Carvalho, C S , Castro, T , Chambers, K C , Contarini, S , S Di Domizio , Dole, H , Gianotti, F , Hildebrandt, H , Karagiannis, D , Legrand, L , Loureiro, A , Maoli, R , C J A P Martins , Metcalf, R B , Walton, Nicholas A , Patrizii, L , Popa, V , Sahlén, M , Schneider, A , Mancini, A Spurio , Tanidis, K , Tao, C , Troja, A , Valieri, C , Verza, G , Zinchenko, I A , Rodighiero, G and Talia, M
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
Formats
Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
Subjects
More information
Scope and Contents
Contents
Euclid will collect an enormous amount of data during the mission's lifetime, observing billions of galaxies in the extragalactic sky. Along with traditional template-fitting methods, numerous machine learning algorithms have been presented for computing their photometric redshifts and physical parameters (PPs), requiring significantly less computi...
Alternative Titles
Full title
Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
Authors, Artists and Contributors
Author / Creator
Enia, A
Bolzonella, M
Hartley, W G
Bardelli, S
Bisigello, L
Siudek, M
Tortora, C
Zamorani, G
Amara, A
Bender, R
Bonino, D
Brescia, M
Brinchmann, J
Camera, S
Castignani, G
Colodro-Conde, C
Congedo, G
Conversi, L
Copin, Y
Courbin, F
Courtois, H M
Dinis, J
Fabricius, M
Fotopoulou, S
Galeotta, S
Holmes, W
Hook, I
Hornstrup, A
Jahnke, K
Joachimi, B
Keihänen, E
Kermiche, S
Kunz, M
Lindholm, V
Maiorano, E
Marggraf, O
Markovic, K
Massey, R
Medinaceli, E
Mellier, Y
S -M Niemi
Pasian, F
Pettorino, V
Poncet, M
Popa, L A
Rebolo, R
Renzi, A
Rhodes, J
Riccio, G
Romelli, E
Rossetti, E
Saglia, R
Schneider, P
Scodeggio, M
Serrano, S
Sirignano, C
Sirri, G
Steinwagner, J
Tereno, I
Toledo-Moreo, R
Wang, Y
Zucca, E
Biviano, A
Calabrese, M
Escartin Vigo, J A
Pezzotta, A
Porciani, C
Scottez, V
Viel, M
Akrami, Y
Anselmi, S
Carvalho, C S
Castro, T
Chambers, K C
Contarini, S
S Di Domizio
Dole, H
Gianotti, F
Hildebrandt, H
Karagiannis, D
Legrand, L
Loureiro, A
Maoli, R
C J A P Martins
Metcalf, R B
Walton, Nicholas A
Patrizii, L
Popa, V
Sahlén, M
Schneider, A
Mancini, A Spurio
Tanidis, K
Tao, C
Troja, A
Valieri, C
Verza, G
Zinchenko, I A
Rodighiero, G
Talia, M
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_3079572962
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3079572962
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2407.07940
