Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods
Abstract
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 computing effort while producing equivalent performance measures. However, their performance is limited by the quality and amount of input information, to the point where the recovery of some well-established physical relationships between parameters might not be guaranteed. To forecast the reliability of Euclid photo-s and PPs calculations, we produced two mock catalogs simulating Euclid photometry. We simulated the Euclid Wide Survey (EWS) and Euclid Deep Fields (EDF). We tested the performance of a template-fitting algorithm (Phosphoros) and four ML methods in recovering photo-s, PPs (stellar masses and star formation rates), and the SFMS. To mimic the Euclid processing as closely as possible, the models were trained with Phosphoros-recovered labels. For the EWS, we found that the best results are achieved with a mixed labels approach, training the models with wide survey features and labels from the Phosphoros results on deeper photometry, that is, with the best possible set of labels for a given photometry. This imposes a prior, helping the models to better discern cases in degenerate regions of feature space, that is, when galaxies have similar magnitudes and colors but different redshifts and PPs, with performance metrics even better than those found with Phosphoros. We found no more than 3% performance degradation using a COSMOS-like reference sample or removing u band data, which will not be available until after data release DR1. The best results are obtained for the EDF, with appropriate recovery of photo-, PPs, and the SFMS.
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Cite
@article{arxiv.2407.07940,
title = {Euclid preparation. LI. Forecasting the recovery of galaxy physical properties and their relations with template-fitting and machine-learning methods},
author = {Euclid Collaboration and A. Enia and M. Bolzonella and L. Pozzetti and A. Humphrey and P. A. C. Cunha and W. G. Hartley and F. Dubath and S. Paltani and X. Lopez Lopez and S. Quai and S. Bardelli and L. Bisigello and S. Cavuoti and G. De Lucia and M. Ginolfi and A. Grazian and M. Siudek and C. Tortora and G. Zamorani and N. Aghanim and B. Altieri and A. Amara and S. Andreon and N. Auricchio and C. Baccigalupi and M. Baldi and R. Bender and C. Bodendorf and D. Bonino and E. Branchini and M. Brescia and J. Brinchmann and S. Camera and V. Capobianco and C. Carbone and J. Carretero and S. Casas and F. J. Castander and M. Castellano and G. Castignani and A. Cimatti and C. Colodro-Conde and G. Congedo and C. J. Conselice and L. Conversi and Y. Copin and L. Corcione and F. Courbin and H. M. Courtois and A. Da Silva and H. Degaudenzi and A. M. Di Giorgio and J. Dinis and X. Dupac and S. Dusini and M. Fabricius and M. Farina and S. Farrens and S. Ferriol and P. Fosalba and S. Fotopoulou and M. Frailis and E. Franceschi and M. Fumana and S. Galeotta and B. Gillis and C. Giocoli and F. Grupp and S. V. H. Haugan and W. Holmes and I. Hook and F. Hormuth and A. Hornstrup and K. Jahnke and B. Joachimi and E. Keihänen and S. Kermiche and A. Kiessling and B. Kubik and M. Kümmel and M. Kunz and H. Kurki-Suonio and S. Ligori and P. B. Lilje and V. Lindholm and I. Lloro and E. Maiorano and O. Mansutti and O. Marggraf and K. Markovic and M. Martinelli and N. Martinet and F. Marulli and R. Massey and H. J. McCracken and E. Medinaceli and S. Mei and M. Melchior and Y. Mellier and M. Meneghetti and E. Merlin and G. Meylan and M. Moresco and L. Moscardini and E. Munari and C. Neissner and S. -M. Niemi and J. W. Nightingale and C. Padilla and F. Pasian and K. Pedersen and V. Pettorino and G. Polenta and M. Poncet and L. A. Popa and F. Raison and R. Rebolo and A. Renzi and J. Rhodes and G. Riccio and E. Romelli and M. Roncarelli and E. Rossetti and R. Saglia and Z. Sakr and D. Sapone and P. Schneider and T. Schrabback and M. Scodeggio and A. Secroun and E. Sefusatti and G. Seidel and S. Serrano and C. Sirignano and G. Sirri and L. Stanco and J. Steinwagner and C. Surace and P. Tallada-Crespí and D. Tavagnacco and A. N. Taylor and H. I. Teplitz and I. Tereno and R. Toledo-Moreo and F. Torradeflot and I. Tutusaus and L. Valenziano and T. Vassallo and G. Verdoes Kleijn and A. Veropalumbo and Y. Wang and J. Weller and E. Zucca and A. Biviano and A. Boucaud and C. Burigana and M. Calabrese and J. A. Escartin Vigo and J. Gracia-Carpio and N. Mauri and A. Pezzotta and M. Pöntinen and C. Porciani and V. Scottez and M. Tenti and M. Viel and M. Wiesmann and Y. Akrami and V. Allevato and S. Anselmi and M. Ballardini and P. Bergamini and M. Bethermin and A. Blanchard and L. Blot and S. Borgani and S. Bruton and R. Cabanac and A. Calabro and G. Canas-Herrera and A. Cappi and C. S. Carvalho and T. Castro and K. C. Chambers and S. Contarini and T. Contini and A. R. Cooray and O. Cucciati and S. Davini and B. De Caro and G. Desprez and A. Díaz-Sánchez and S. Di Domizio and H. Dole and S. Escoffier and A. G. Ferrari and P. G. Ferreira and I. Ferrero and A. Finoguenov and F. Fornari and L. Gabarra and K. Ganga and J. García-Bellido and V. Gautard and E. Gaztanaga and F. Giacomini and F. Gianotti and G. Gozaliasl and A. Hall and S. Hemmati and H. Hildebrandt and J. Hjorth and A. Jimenez Muñoz and S. Joudaki and J. J. E. Kajava and V. Kansal and D. Karagiannis and C. C. Kirkpatrick and J. Le Graet and L. Legrand and A. Loureiro and J. Macias-Perez and G. Maggio and M. Magliocchetti and C. Mancini and F. Mannucci and R. Maoli and C. J. A. P. Martins and S. Matthew and L. Maurin and R. B. Metcalf and P. Monaco and C. Moretti and G. Morgante and Nicholas A. Walton and L. Patrizii and V. Popa and D. Potter and I. Risso and P. -F. Rocci and M. Sahlén and A. Schneider and M. Schultheis and M. Sereno and P. Simon and A. Spurio Mancini and S. A. Stanford and K. Tanidis and C. Tao and G. Testera and R. Teyssier and S. Toft and S. Tosi and A. Troja and M. Tucci and C. Valieri and J. Valiviita and D. Vergani and G. Verza and I. A. Zinchenko and G. Rodighiero and M. Talia},
journal= {arXiv preprint arXiv:2407.07940},
year = {2024}
}
Comments
26 pages, 13 figures. Accepted for publication on A&A