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

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...

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Autores: Signor, T., Rodighiero, G., Bisigello, L., Bolzonella, M., Caputi, K.I., Daddi, E., De Lucia, G., Enia, A., Gabarra, L., Gruppioni, C., Humphrey, A., La Franca, F., Mancini, C., Pozzetti, L., Serjeant, S., Spinoglio, L., Van Mierlo, S.E., Andreon, S., Auricchio, N., Baldi, M., Bardelli, S., Battaglia, P., Bender, R., Bodendorf, C., Bonino, D., Branchini, E., Brescia, M., Brinchmann, J., Camera, S., Capobianco, V., Carbone, C., Carretero, J., Casas, S., Castellano, M., Cavuoti, S., Cimatti, A., Cledassou, R., Congedo, G., Conselice, C.J., Conversi, L., Copin, Y., Corcione, L., Courbin, Frédéric, Courtois, H.M., Da Silva, A., Degaudenzi, H., Di Giorgio, A.M., Dinis, J., Dubath, F., Dupac, X., Dusini, S., Ealet, A., Farina, M., Farrens, S., Ferriol, S., Fotopoulou, S., Franceschi, E., Galeotta, S., Garilli, B., Gillard, W., Gillis, B., Giocoli, C., Grazian, A., Grupp, F., Guzzo, L., Haugan, S.V.H., Hook, I., Hormuth, F., Hornstrup, A., Jahnke, K., Kümmel, M., Kermiche, S., Kiessling, A., Kilbinger, M., Kitching, T., Kurki-Suonio, H., Ligori, S., Lilje, P.B., Lindholm, V., Lloro, I., Maino, D., Maiorano, E., Mansutti, O., Marggraf, O., Martinet, N., Marulli, F., Massey, R., Medinaceli, E., Melchior, M., Mellier, Y., Meneghetti, M., Merlin, E., Moresco, M., Moscardini, L., Munari, E., Nichol, R.C., Niemi, S.-M., Padilla, C., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L.A., Raison, F., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sapone, D., Sartoris, B., Schneider, P., Schrabback, T., Secroun, A., Seidel, G., Serrano, S., Sirignano, C., Sirri, G., Stanco, L., Surace, C., Tallada-Crespí, P., Teplitz, H.I., Tereno, I., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valentijn, E.A., Vassallo, T., Veropalumbo, A., Wang, Yan, Weller, J., Williams, O.R., Zoubian, J., Zucca, E., Burigana, C., Scottez, V.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/221025
Acceso en línea:https://hdl.handle.net/2445/221025
Access Level:acceso abierto
Palabra clave:Galàxies actives
Galàxies
Evolució de les galàxies
Active galaxies
Galaxies
Galaxies evolution
id ES_c29fc4dac67b74cf29885c4afbb9ce7d
oai_identifier_str oai:diposit.ub.edu:2445/221025
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
title Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
spellingShingle Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
Signor, T.
Galàxies actives
Galàxies
Evolució de les galàxies
Active galaxies
Galaxies
Galaxies evolution
title_short Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
title_full Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
title_fullStr Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
title_full_unstemmed Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
title_sort Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees
dc.creator.none.fl_str_mv Signor, T.
Rodighiero, G.
Bisigello, L.
Bolzonella, M.
Caputi, K.I.
Daddi, E.
De Lucia, G.
Enia, A.
Gabarra, L.
Gruppioni, C.
Humphrey, A.
La Franca, F.
Mancini, C.
Pozzetti, L.
Serjeant, S.
Spinoglio, L.
Van Mierlo, S.E.
Andreon, S.
Auricchio, N.
Baldi, M.
Bardelli, S.
Battaglia, P.
Bender, R.
Bodendorf, C.
Bonino, D.
Branchini, E.
Brescia, M.
Brinchmann, J.
Camera, S.
Capobianco, V.
Carbone, C.
Carretero, J.
Casas, S.
Castellano, M.
Cavuoti, S.
Cimatti, A.
Cledassou, R.
Congedo, G.
Conselice, C.J.
Conversi, L.
Copin, Y.
Corcione, L.
Courbin, Frédéric
Courtois, H.M.
Da Silva, A.
Degaudenzi, H.
Di Giorgio, A.M.
Dinis, J.
Dubath, F.
Dupac, X.
Dusini, S.
Ealet, A.
Farina, M.
Farrens, S.
Ferriol, S.
Fotopoulou, S.
Franceschi, E.
Galeotta, S.
Garilli, B.
Gillard, W.
Gillis, B.
Giocoli, C.
Grazian, A.
Grupp, F.
Guzzo, L.
Haugan, S.V.H.
Hook, I.
Hormuth, F.
Hornstrup, A.
Jahnke, K.
Kümmel, M.
Kermiche, S.
Kiessling, A.
Kilbinger, M.
Kitching, T.
Kurki-Suonio, H.
Ligori, S.
Lilje, P.B.
Lindholm, V.
Lloro, I.
Maino, D.
Maiorano, E.
Mansutti, O.
Marggraf, O.
Martinet, N.
Marulli, F.
Massey, R.
Medinaceli, E.
Melchior, M.
Mellier, Y.
Meneghetti, M.
Merlin, E.
Moresco, M.
Moscardini, L.
Munari, E.
Nichol, R.C.
Niemi, S.-M.
Padilla, C.
Paltani, S.
Pasian, F.
Pedersen, K.
Pettorino, V.
Pires, S.
Polenta, G.
Poncet, M.
Popa, L.A.
Raison, F.
Renzi, A.
Rhodes, J.
Riccio, G.
Romelli, E.
Roncarelli, M.
Rossetti, E.
Saglia, R.
Sapone, D.
Sartoris, B.
Schneider, P.
Schrabback, T.
Secroun, A.
Seidel, G.
Serrano, S.
Sirignano, C.
Sirri, G.
Stanco, L.
Surace, C.
Tallada-Crespí, P.
Teplitz, H.I.
Tereno, I.
Toledo-Moreo, R.
Torradeflot, F.
Tutusaus, I.
Valentijn, E.A.
Vassallo, T.
Veropalumbo, A.
Wang, Yan
Weller, J.
Williams, O.R.
Zoubian, J.
Zucca, E.
Burigana, C.
Scottez, V.
author Signor, T.
author_facet Signor, T.
Rodighiero, G.
Bisigello, L.
Bolzonella, M.
Caputi, K.I.
Daddi, E.
De Lucia, G.
Enia, A.
Gabarra, L.
Gruppioni, C.
Humphrey, A.
La Franca, F.
Mancini, C.
Pozzetti, L.
Serjeant, S.
Spinoglio, L.
Van Mierlo, S.E.
Andreon, S.
Auricchio, N.
Baldi, M.
Bardelli, S.
Battaglia, P.
Bender, R.
Bodendorf, C.
Bonino, D.
Branchini, E.
Brescia, M.
Brinchmann, J.
Camera, S.
Capobianco, V.
Carbone, C.
Carretero, J.
Casas, S.
Castellano, M.
Cavuoti, S.
Cimatti, A.
Cledassou, R.
Congedo, G.
Conselice, C.J.
Conversi, L.
Copin, Y.
Corcione, L.
Courbin, Frédéric
Courtois, H.M.
Da Silva, A.
Degaudenzi, H.
Di Giorgio, A.M.
Dinis, J.
Dubath, F.
Dupac, X.
Dusini, S.
Ealet, A.
Farina, M.
Farrens, S.
Ferriol, S.
Fotopoulou, S.
Franceschi, E.
Galeotta, S.
Garilli, B.
Gillard, W.
Gillis, B.
Giocoli, C.
Grazian, A.
Grupp, F.
Guzzo, L.
Haugan, S.V.H.
Hook, I.
Hormuth, F.
Hornstrup, A.
Jahnke, K.
Kümmel, M.
Kermiche, S.
Kiessling, A.
Kilbinger, M.
Kitching, T.
Kurki-Suonio, H.
Ligori, S.
Lilje, P.B.
Lindholm, V.
Lloro, I.
Maino, D.
Maiorano, E.
Mansutti, O.
Marggraf, O.
Martinet, N.
Marulli, F.
Massey, R.
Medinaceli, E.
Melchior, M.
Mellier, Y.
Meneghetti, M.
Merlin, E.
Moresco, M.
Moscardini, L.
Munari, E.
Nichol, R.C.
Niemi, S.-M.
Padilla, C.
Paltani, S.
Pasian, F.
Pedersen, K.
Pettorino, V.
Pires, S.
Polenta, G.
Poncet, M.
Popa, L.A.
Raison, F.
Renzi, A.
Rhodes, J.
Riccio, G.
Romelli, E.
Roncarelli, M.
Rossetti, E.
Saglia, R.
Sapone, D.
Sartoris, B.
Schneider, P.
Schrabback, T.
Secroun, A.
Seidel, G.
Serrano, S.
Sirignano, C.
Sirri, G.
Stanco, L.
Surace, C.
Tallada-Crespí, P.
Teplitz, H.I.
Tereno, I.
Toledo-Moreo, R.
Torradeflot, F.
Tutusaus, I.
Valentijn, E.A.
Vassallo, T.
Veropalumbo, A.
Wang, Yan
Weller, J.
Williams, O.R.
Zoubian, J.
Zucca, E.
Burigana, C.
Scottez, V.
author_role author
author2 Rodighiero, G.
Bisigello, L.
Bolzonella, M.
Caputi, K.I.
Daddi, E.
De Lucia, G.
Enia, A.
Gabarra, L.
Gruppioni, C.
Humphrey, A.
La Franca, F.
Mancini, C.
Pozzetti, L.
Serjeant, S.
Spinoglio, L.
Van Mierlo, S.E.
Andreon, S.
Auricchio, N.
Baldi, M.
Bardelli, S.
Battaglia, P.
Bender, R.
Bodendorf, C.
Bonino, D.
Branchini, E.
Brescia, M.
Brinchmann, J.
Camera, S.
Capobianco, V.
Carbone, C.
Carretero, J.
Casas, S.
Castellano, M.
Cavuoti, S.
Cimatti, A.
Cledassou, R.
Congedo, G.
Conselice, C.J.
Conversi, L.
Copin, Y.
Corcione, L.
Courbin, Frédéric
Courtois, H.M.
Da Silva, A.
Degaudenzi, H.
Di Giorgio, A.M.
Dinis, J.
Dubath, F.
Dupac, X.
Dusini, S.
Ealet, A.
Farina, M.
Farrens, S.
Ferriol, S.
Fotopoulou, S.
Franceschi, E.
Galeotta, S.
Garilli, B.
Gillard, W.
Gillis, B.
Giocoli, C.
Grazian, A.
Grupp, F.
Guzzo, L.
Haugan, S.V.H.
Hook, I.
Hormuth, F.
Hornstrup, A.
Jahnke, K.
Kümmel, M.
Kermiche, S.
Kiessling, A.
Kilbinger, M.
Kitching, T.
Kurki-Suonio, H.
Ligori, S.
Lilje, P.B.
Lindholm, V.
Lloro, I.
Maino, D.
Maiorano, E.
Mansutti, O.
Marggraf, O.
Martinet, N.
Marulli, F.
Massey, R.
Medinaceli, E.
Melchior, M.
Mellier, Y.
Meneghetti, M.
Merlin, E.
Moresco, M.
Moscardini, L.
Munari, E.
Nichol, R.C.
Niemi, S.-M.
Padilla, C.
Paltani, S.
Pasian, F.
Pedersen, K.
Pettorino, V.
Pires, S.
Polenta, G.
Poncet, M.
Popa, L.A.
Raison, F.
Renzi, A.
Rhodes, J.
Riccio, G.
Romelli, E.
Roncarelli, M.
Rossetti, E.
Saglia, R.
Sapone, D.
Sartoris, B.
Schneider, P.
Schrabback, T.
Secroun, A.
Seidel, G.
Serrano, S.
Sirignano, C.
Sirri, G.
Stanco, L.
Surace, C.
Tallada-Crespí, P.
Teplitz, H.I.
Tereno, I.
Toledo-Moreo, R.
Torradeflot, F.
Tutusaus, I.
Valentijn, E.A.
Vassallo, T.
Veropalumbo, A.
Wang, Yan
Weller, J.
Williams, O.R.
Zoubian, J.
Zucca, E.
Burigana, C.
Scottez, V.
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dc.subject.none.fl_str_mv Galàxies actives
Galàxies
Evolució de les galàxies
Active galaxies
Galaxies
Galaxies evolution
topic Galàxies actives
Galàxies
Evolució de les galàxies
Active galaxies
Galaxies
Galaxies evolution
description 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. 
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/221025
url https://hdl.handle.net/2445/221025
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1051/0004-6361/202348737
Astronomy & Astrophysics, 2024, vol. 685, num.A127
https://doi.org/10.1051/0004-6361/202348737
dc.rights.none.fl_str_mv (c) The European Southern Observatory (ESO), 2024
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) The European Southern Observatory (ESO), 2024
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
dc.source.none.fl_str_mv Articles publicats en revistes (Institut de Ciències del Cosmos (ICCUB))
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418703386312704
spelling Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted treesSignor, T.Rodighiero, G.Bisigello, L.Bolzonella, M.Caputi, K.I.Daddi, E.De Lucia, G.Enia, A.Gabarra, L.Gruppioni, C.Humphrey, A.La Franca, F.Mancini, C.Pozzetti, L.Serjeant, S.Spinoglio, L.Van Mierlo, S.E.Andreon, S.Auricchio, N.Baldi, M.Bardelli, S.Battaglia, P.Bender, R.Bodendorf, C.Bonino, D.Branchini, E.Brescia, M.Brinchmann, J.Camera, S.Capobianco, V.Carbone, C.Carretero, J.Casas, S.Castellano, M.Cavuoti, S.Cimatti, A.Cledassou, R.Congedo, G.Conselice, C.J.Conversi, L.Copin, Y.Corcione, L.Courbin, FrédéricCourtois, H.M.Da Silva, A.Degaudenzi, H.Di Giorgio, A.M.Dinis, J.Dubath, F.Dupac, X.Dusini, S.Ealet, A.Farina, M.Farrens, S.Ferriol, S.Fotopoulou, S.Franceschi, E.Galeotta, S.Garilli, B.Gillard, W.Gillis, B.Giocoli, C.Grazian, A.Grupp, F.Guzzo, L.Haugan, S.V.H.Hook, I.Hormuth, F.Hornstrup, A.Jahnke, K.Kümmel, M.Kermiche, S.Kiessling, A.Kilbinger, M.Kitching, T.Kurki-Suonio, H.Ligori, S.Lilje, P.B.Lindholm, V.Lloro, I.Maino, D.Maiorano, E.Mansutti, O.Marggraf, O.Martinet, N.Marulli, F.Massey, R.Medinaceli, E.Melchior, M.Mellier, Y.Meneghetti, M.Merlin, E.Moresco, M.Moscardini, L.Munari, E.Nichol, R.C.Niemi, S.-M.Padilla, C.Paltani, S.Pasian, F.Pedersen, K.Pettorino, V.Pires, S.Polenta, G.Poncet, M.Popa, L.A.Raison, F.Renzi, A.Rhodes, J.Riccio, G.Romelli, E.Roncarelli, M.Rossetti, E.Saglia, R.Sapone, D.Sartoris, B.Schneider, P.Schrabback, T.Secroun, A.Seidel, G.Serrano, S.Sirignano, C.Sirri, G.Stanco, L.Surace, C.Tallada-Crespí, P.Teplitz, H.I.Tereno, I.Toledo-Moreo, R.Torradeflot, F.Tutusaus, I.Valentijn, E.A.Vassallo, T.Veropalumbo, A.Wang, YanWeller, J.Williams, O.R.Zoubian, J.Zucca, E.Burigana, C.Scottez, V.Galàxies activesGalàxiesEvolució de les galàxiesActive galaxiesGalaxiesGalaxies evolutionContext. 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. EDP Sciences2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/221025Articles publicats en revistes (Institut de Ciències del Cosmos (ICCUB))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1051/0004-6361/202348737Astronomy & Astrophysics, 2024, vol. 685, num.A127https://doi.org/10.1051/0004-6361/202348737(c) The European Southern Observatory (ESO), 2024info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2210252026-05-27T06:46:51Z
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