Work

Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees

Year: 2024
Type: article
Abstract: Context. ALMA observations show that dusty, distant, massive (M* ≳ 1011 M⊙) galaxies usually have a remarkable star-formation activity, contributing of the order of 25% of the cosmic star-formation rate density at z ≈ 3–5, and up to 30% at z ∼ 7. Nonetheless, they are elusive in classical optical surveys, and current near-IR surveys are able to detect them only in very small sky areas. Since these objects have low space densities, deep and wide surveys are necessary to obtain statistically relevant results about them. Euclid will potentially be capable of delivering the required information, but, given the lack of spectroscopic features at these distances within its bands, it is still unclear if Euclid will be able to identify and characterise these objects. Aims. The goal of this work is to assess the capability of Euclid, together with ancillary optical and near-IR data, to identify these distant, dusty, and massive galaxies based on broadband photometry. Methods. We used a gradient-boosting algorithm to predict both the redshift and spectral type of objects at high z. To perform such an analysis, we made use of simulated photometric observations that mimic the Euclid Deep Survey, derived using the state-of-the-art Spectro-Photometric Realizations of Infrared-selected Targets at all-z (SPRITZ) software. Results. The gradient-boosting algorithm was found to be accurate in predicting both the redshift and spectral type of objects within the simulated Euclid Deep Survey catalogue at z > 2, while drastically decreasing the runtime with respect to spectral-energy-distribution-fitting methods. In particular, we studied the analogue of HIEROs (i.e. sources selected on the basis of a red H − [4.5]> 2.25), combining Euclid and Spitzer data at the depth of the Deep Fields. These sources include the bulk of obscured and massive galaxies in a broad redshift range, 3 < z < 7. We find that the dusty population at 3 ≲ z ≲ 7 is well identified, with a redshift root mean squared error and catastrophic outlier fraction of only 0.55 and 8.5% (HE ≤ 26), respectively. Our findings suggest that with Euclid we will obtain meaningful insights into the impact of massive and dusty galaxies on the cosmic star-formation rate over time.
Authors: T. Signor, G. Rodighiero, L. Bisigello, M. Bolzonella, K. I. Caputi, E. Daddi, G. De Lucia, A. Enia, L. Gabarra, C. Gruppioni, A. Humphrey, F. La Franca, C. Mancini, L. Pozzetti, S. Serjeant, L. Spinoglio, S. E. van Mierlo, S. Andreon, N. Auricchio, M. Baldi, S. Bardelli, P. Battaglia, R. Bender, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, J. Carretero, S. Casas, M. Castellano, S. Cavuoti, A. Cimatti, R. Cledassou, G. Congedo, C. J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, H. M. Courtois, A. Da Silva, H. Degaudenzi, A. M. Di Giorgio, J. Dinis, F. Dubath, X. Dupac, S. Dusini, A. Ealet, M. Farina, S. Farrens, S. Ferriol, S. Fotopoulou, E. Franceschi, S. Galeotta, B. Garilli, W. Gillard, B. Gillis, C. Giocoli, A. Grazian, F. Grupp, L. Guzzo, S. V. H. Haugan, I. Hook, F. Hormuth, A. Hornstrup, K. Jahnke, M. Kümmel, S. Kermiche, A. Kiessling, M. Kilbinger, T. Kitching, H. Kurki-Suonio, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, D. Maino, E. Maiorano, O. Mansutti, O. Marggraf, N. Martinet, F. Marulli, R. Massey, E. Medinaceli, M. Melchior, Y. Mellier, M. Meneghetti, E. Merlin, M. Moresco, L. Moscardini, E. Munari, R. C. Nichol, S.-M. Niemi, C. Padilla, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. A. Popa, F. Raison, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, E. Rossetti, R. Saglia, D. Sapone, B. Sartoris, P. Schneider, T. Schrabback, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, L. Stanco, C. Surace, P. Tallada-Crespí, H. I. Teplitz, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, T. Vassallo, A. Veropalumbo, Y. Wang, J. Weller, O. R. Williams, J. Zoubian, E. Zucca, C. Burigana, V. Scottez
Institutions: University of Padua, Osservatorio Astronomico di Padova, Osservatorio di Astrofisica e Scienza dello Spazio, National Institute for Astrophysics, University of Groningen, Centre National de la Recherche Scientifique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, CEA Paris-Saclay - Etablissement de Saclay, Astrophysique, Instrumentation et Modélisation, CEA Paris-Saclay, Trieste Astronomical Observatory, University of Bologna, University of Oxford, Universidade do Porto, Institute of Astrophysics and Space Sciences, Centro de Astrofísica da Universidade do Porto, DTX Digital Transformation CoLAB, The Open University, Institute for Space Astrophysics and Planetology, Brera Astronomical Observatory, Max Planck Institute for Extraterrestrial Physics, Ludwig-Maximilians-Universität München, Osservatorio Astrofisico di Torino, Institute for High Energy Physics, Astronomical Observatory of Rome, Institut National de Physique Nucléaire et de Physique des Particules, Port d'Informació Científica, RWTH Aachen University, University of Minho, Astronomical Observatory of Capodimonte, Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Centre National d'Études Spatiales, Institut de Physique des 2 Infinis de Lyon, Centre de physique des particules de Marseille, Laboratoire d’Astrophysique de Marseille, Istituto Nazionale di Fisica Nucleare, Sezione di Bologna, Institut d'Astrophysique de Paris, Institut de Recherche en Astrophysique et Planétologie, Istituto Nazionale di Fisica Nucleare, Sezione di Genova, Evaluation des technologies de santé et des pratiques médicales
Language: English
Open Access status: gold
Estimated APC paid: $1,732
OpenAlex ID: W4391673268
FWCI: 1.33
Cites: 63
Cited by: 7
Related to: 10