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Euclid: Photometric redshift calibration with the clustering redshifts technique

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Main Authors:	d'Assignies, W., Manera, M., Padilla, C., Ilbert, O., Hildebrandt, H., Reynolds, L., Chaves-Montero, J., Wright, A. H., Tallada-Crespí, P., Eriksen, M., Carretero, J., Roster, W., Kang, Y., Naidoo, K., Miquel, R., Altieri, B., Amara, A., Andreon, S., Auricchio, N., Baccigalupi, C., Bagot, D., Baldi, M., Balestra, A., Bardelli, S., Battaglia, P., Biviano, A., Branchini, E., Brescia, M., Camera, S., Capobianco, V., Carbone, C., Cardone, V. F., Casas, S., Castander, F. J., Castellano, M., Castignani, G., Cavuoti, S., Chambers, K. C., Cimatti, A., Colodro-Conde, C., Congedo, G., Conselice, C. J., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Crocce, M., Da Silva, A., Degaudenzi, H., de la Torre, S., De Lucia, G., Douspis, M., Dupac, X., Ealet, A., Escoffier, S., Farina, M., Faustini, F., Ferriol, S., Finelli, F., Fosalba, P., Fotopoulou, S., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., George, K., Gillis, B., Giocoli, C., Gómez-Alvarez, P., Gracia-Carpio, J., Grazian, A., Grupp, F., Holmes, W., Hook, I. M., Hornstrup, A., Jahnke, K., Jhabvala, M., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kubik, B., Kümmel, M., Kunz, M., Kurki-Suonio, H., Lahav, O., Brun, A. M. C. Le, Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Mainetti, G., Maino, D., Maiorano, E., Mansutti, O., Marcin, S., Marggraf, O., Markovic, K., Martinelli, M., Martinet, N., Marulli, F., Massey, R., Masters, D. C., Medinaceli, E., Mei, S., Melchior, M., Mellier, Y., Meneghetti, M., Merlin, E., Meylan, G., Mora, A., Moresco, M., Moscardini, L., Neissner, C., Niemi, S. -M., Paltani, S., Pasian, F., Pedersen, K., Pettorino, V., Pires, S., Polenta, G., Poncet, M., Popa, L. A., Pozzetti, L., Raison, F., Rebolo, R., Renzi, A., Rhodes, J., Riccio, G., Romelli, E., Roncarelli, M., Rossetti, E., Saglia, R., Sakr, Z., Sapone, D., Sartoris, B., Schewtschenko, J. A., Schneider, P., Schrabback, T., Secroun, A., Sefusatti, E., Seidel, G., Seiffert, M., Serrano, S., Simon, P., Sirignano, C., Sirri, G., Mancini, A. Spurio, Stanco, L., Steinwagner, J., Tavagnacco, D., Taylor, A. N., Teplitz, H. I., Tereno, I., Tessore, N., Toft, S., Toledo-Moreo, R., Torradeflot, F., Tsyganov, A., Tutusaus, I., Valenziano, L., Valiviita, J., Vassallo, T., Kleijn, G. Verdoes, Wang, Y., Weller, J., Zamorani, G., Zucca, E., Bolzonella, M., Burigana, C., Gabarra, L., Martín-Fleitas, J., Risso, I., Scottez, V., Viel, M.
Format:	Preprint
Published:	2025
Subjects:	Cosmology and Nongalactic Astrophysics
Online Access:	Acceder al recurso
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author	d'Assignies, W. Manera, M. Padilla, C. Ilbert, O. Hildebrandt, H. Reynolds, L. Chaves-Montero, J. Wright, A. H. Tallada-Crespí, P. Eriksen, M. Carretero, J. Roster, W. Kang, Y. Naidoo, K. Miquel, R. Altieri, B. Amara, A. Andreon, S. Auricchio, N. Baccigalupi, C. Bagot, D. Baldi, M. Balestra, A. Bardelli, S. Battaglia, P. Biviano, A. Branchini, E. Brescia, M. Camera, S. Capobianco, V. Carbone, C. Cardone, V. F. Casas, S. Castander, F. J. Castellano, M. Castignani, G. Cavuoti, S. Chambers, K. C. Cimatti, A. Colodro-Conde, C. Congedo, G. Conselice, C. J. Conversi, L. Copin, Y. Courbin, F. Courtois, H. M. Crocce, M. Da Silva, A. Degaudenzi, H. de la Torre, S. De Lucia, G. Douspis, M. Dupac, X. Ealet, A. Escoffier, S. Farina, M. Faustini, F. Ferriol, S. Finelli, F. Fosalba, P. Fotopoulou, S. Frailis, M. Franceschi, E. Fumana, M. Galeotta, S. George, K. Gillis, B. Giocoli, C. Gómez-Alvarez, P. Gracia-Carpio, J. Grazian, A. Grupp, F. Holmes, W. Hook, I. M. Hornstrup, A. Jahnke, K. Jhabvala, M. Joachimi, B. Keihänen, E. Kermiche, S. Kiessling, A. Kubik, B. Kümmel, M. Kunz, M. Kurki-Suonio, H. Lahav, O. Brun, A. M. C. Le Ligori, S. Lilje, P. B. Lindholm, V. Lloro, I. Mainetti, G. Maino, D. Maiorano, E. Mansutti, O. Marcin, S. Marggraf, O. Markovic, K. Martinelli, M. Martinet, N. Marulli, F. Massey, R. Masters, D. C. Medinaceli, E. Mei, S. Melchior, M. Mellier, Y. Meneghetti, M. Merlin, E. Meylan, G. Mora, A. Moresco, M. Moscardini, L. Neissner, C. Niemi, S. -M. Paltani, S. Pasian, F. Pedersen, K. Pettorino, V. Pires, S. Polenta, G. Poncet, M. Popa, L. A. Pozzetti, L. Raison, F. Rebolo, R. Renzi, A. Rhodes, J. Riccio, G. Romelli, E. Roncarelli, M. Rossetti, E. Saglia, R. Sakr, Z. Sapone, D. Sartoris, B. Schewtschenko, J. A. Schneider, P. Schrabback, T. Secroun, A. Sefusatti, E. Seidel, G. Seiffert, M. Serrano, S. Simon, P. Sirignano, C. Sirri, G. Mancini, A. Spurio Stanco, L. Steinwagner, J. Tavagnacco, D. Taylor, A. N. Teplitz, H. I. Tereno, I. Tessore, N. Toft, S. Toledo-Moreo, R. Torradeflot, F. Tsyganov, A. Tutusaus, I. Valenziano, L. Valiviita, J. Vassallo, T. Kleijn, G. Verdoes Wang, Y. Weller, J. Zamorani, G. Zucca, E. Bolzonella, M. Burigana, C. Gabarra, L. Martín-Fleitas, J. Risso, I. Scottez, V. Viel, M.
author_facet	d'Assignies, W. Manera, M. Padilla, C. Ilbert, O. Hildebrandt, H. Reynolds, L. Chaves-Montero, J. Wright, A. H. Tallada-Crespí, P. Eriksen, M. Carretero, J. Roster, W. Kang, Y. Naidoo, K. Miquel, R. Altieri, B. Amara, A. Andreon, S. Auricchio, N. Baccigalupi, C. Bagot, D. Baldi, M. Balestra, A. Bardelli, S. Battaglia, P. Biviano, A. Branchini, E. Brescia, M. Camera, S. Capobianco, V. Carbone, C. Cardone, V. F. Casas, S. Castander, F. J. Castellano, M. Castignani, G. Cavuoti, S. Chambers, K. C. Cimatti, A. Colodro-Conde, C. Congedo, G. Conselice, C. J. Conversi, L. Copin, Y. Courbin, F. Courtois, H. M. Crocce, M. Da Silva, A. Degaudenzi, H. de la Torre, S. De Lucia, G. Douspis, M. Dupac, X. Ealet, A. Escoffier, S. Farina, M. Faustini, F. Ferriol, S. Finelli, F. Fosalba, P. Fotopoulou, S. Frailis, M. Franceschi, E. Fumana, M. Galeotta, S. George, K. Gillis, B. Giocoli, C. Gómez-Alvarez, P. Gracia-Carpio, J. Grazian, A. Grupp, F. Holmes, W. Hook, I. M. Hornstrup, A. Jahnke, K. Jhabvala, M. Joachimi, B. Keihänen, E. Kermiche, S. Kiessling, A. Kubik, B. Kümmel, M. Kunz, M. Kurki-Suonio, H. Lahav, O. Brun, A. M. C. Le Ligori, S. Lilje, P. B. Lindholm, V. Lloro, I. Mainetti, G. Maino, D. Maiorano, E. Mansutti, O. Marcin, S. Marggraf, O. Markovic, K. Martinelli, M. Martinet, N. Marulli, F. Massey, R. Masters, D. C. Medinaceli, E. Mei, S. Melchior, M. Mellier, Y. Meneghetti, M. Merlin, E. Meylan, G. Mora, A. Moresco, M. Moscardini, L. Neissner, C. Niemi, S. -M. Paltani, S. Pasian, F. Pedersen, K. Pettorino, V. Pires, S. Polenta, G. Poncet, M. Popa, L. A. Pozzetti, L. Raison, F. Rebolo, R. Renzi, A. Rhodes, J. Riccio, G. Romelli, E. Roncarelli, M. Rossetti, E. Saglia, R. Sakr, Z. Sapone, D. Sartoris, B. Schewtschenko, J. A. Schneider, P. Schrabback, T. Secroun, A. Sefusatti, E. Seidel, G. Seiffert, M. Serrano, S. Simon, P. Sirignano, C. Sirri, G. Mancini, A. Spurio Stanco, L. Steinwagner, J. Tavagnacco, D. Taylor, A. N. Teplitz, H. I. Tereno, I. Tessore, N. Toft, S. Toledo-Moreo, R. Torradeflot, F. Tsyganov, A. Tutusaus, I. Valenziano, L. Valiviita, J. Vassallo, T. Kleijn, G. Verdoes Wang, Y. Weller, J. Zamorani, G. Zucca, E. Bolzonella, M. Burigana, C. Gabarra, L. Martín-Fleitas, J. Risso, I. Scottez, V. Viel, M.
contents	Aims: The precision of cosmological constraints from imaging surveys hinges on accurately estimating the redshift distribution $ n(z) $ of tomographic bins, especially their mean redshifts. We assess the effectiveness of the clustering redshifts technique in constraining Euclid tomographic redshift bins to meet the target uncertainty of $ σ( \langle z \rangle ) < 0.002 (1 + z) $. In this work, these mean redshifts are inferred from the small-scale angular clustering of Euclid galaxies, which are distributed into bins with spectroscopic samples localised in narrow redshift slices. Methods: We generate spectroscopic mocks from the Flagship2 simulation for the Baryon Oscillation Spectroscopic Survey (BOSS), the Dark Energy Spectroscopic Instrument (DESI), and Euclid's Near-Infrared Spectrometer and Photometer (NISP) spectroscopic survey. We evaluate and optimise the clustering redshifts pipeline, introducing a new method for measuring photometric galaxy bias (clustering), which is the primary limitation of this technique. Results: We have successfully constrained the means and standard deviations of the redshift distributions for all of the tomographic bins (with a maximum photometric redshift of 1.6), achieving precision beyond the required thresholds. We have identified the main sources of bias, particularly the impact of the 1-halo galaxy distribution, which imposed a minimal separation scale of 1.5 Mpc for evaluating cross-correlations. These results demonstrate the potential of clustering redshifts to meet the precision requirements for Euclid, and we highlight several avenues for future improvements.
format	Preprint
id	arxiv_https___arxiv_org_abs_2505_10416
institution	arXiv
publishDate	2025
record_format	arxiv
spellingShingle	Euclid: Photometric redshift calibration with the clustering redshifts technique d'Assignies, W. Manera, M. Padilla, C. Ilbert, O. Hildebrandt, H. Reynolds, L. Chaves-Montero, J. Wright, A. H. Tallada-Crespí, P. Eriksen, M. Carretero, J. Roster, W. Kang, Y. Naidoo, K. Miquel, R. Altieri, B. Amara, A. Andreon, S. Auricchio, N. Baccigalupi, C. Bagot, D. Baldi, M. Balestra, A. Bardelli, S. Battaglia, P. Biviano, A. Branchini, E. Brescia, M. Camera, S. Capobianco, V. Carbone, C. Cardone, V. F. Casas, S. Castander, F. J. Castellano, M. Castignani, G. Cavuoti, S. Chambers, K. C. Cimatti, A. Colodro-Conde, C. Congedo, G. Conselice, C. J. Conversi, L. Copin, Y. Courbin, F. Courtois, H. M. Crocce, M. Da Silva, A. Degaudenzi, H. de la Torre, S. De Lucia, G. Douspis, M. Dupac, X. Ealet, A. Escoffier, S. Farina, M. Faustini, F. Ferriol, S. Finelli, F. Fosalba, P. Fotopoulou, S. Frailis, M. Franceschi, E. Fumana, M. Galeotta, S. George, K. Gillis, B. Giocoli, C. Gómez-Alvarez, P. Gracia-Carpio, J. Grazian, A. Grupp, F. Holmes, W. Hook, I. M. Hornstrup, A. Jahnke, K. Jhabvala, M. Joachimi, B. Keihänen, E. Kermiche, S. Kiessling, A. Kubik, B. Kümmel, M. Kunz, M. Kurki-Suonio, H. Lahav, O. Brun, A. M. C. Le Ligori, S. Lilje, P. B. Lindholm, V. Lloro, I. Mainetti, G. Maino, D. Maiorano, E. Mansutti, O. Marcin, S. Marggraf, O. Markovic, K. Martinelli, M. Martinet, N. Marulli, F. Massey, R. Masters, D. C. Medinaceli, E. Mei, S. Melchior, M. Mellier, Y. Meneghetti, M. Merlin, E. Meylan, G. Mora, A. Moresco, M. Moscardini, L. Neissner, C. Niemi, S. -M. Paltani, S. Pasian, F. Pedersen, K. Pettorino, V. Pires, S. Polenta, G. Poncet, M. Popa, L. A. Pozzetti, L. Raison, F. Rebolo, R. Renzi, A. Rhodes, J. Riccio, G. Romelli, E. Roncarelli, M. Rossetti, E. Saglia, R. Sakr, Z. Sapone, D. Sartoris, B. Schewtschenko, J. A. Schneider, P. Schrabback, T. Secroun, A. Sefusatti, E. Seidel, G. Seiffert, M. Serrano, S. Simon, P. Sirignano, C. Sirri, G. Mancini, A. Spurio Stanco, L. Steinwagner, J. Tavagnacco, D. Taylor, A. N. Teplitz, H. I. Tereno, I. Tessore, N. Toft, S. Toledo-Moreo, R. Torradeflot, F. Tsyganov, A. Tutusaus, I. Valenziano, L. Valiviita, J. Vassallo, T. Kleijn, G. Verdoes Wang, Y. Weller, J. Zamorani, G. Zucca, E. Bolzonella, M. Burigana, C. Gabarra, L. Martín-Fleitas, J. Risso, I. Scottez, V. Viel, M. Cosmology and Nongalactic Astrophysics Aims: The precision of cosmological constraints from imaging surveys hinges on accurately estimating the redshift distribution $ n(z) $ of tomographic bins, especially their mean redshifts. We assess the effectiveness of the clustering redshifts technique in constraining Euclid tomographic redshift bins to meet the target uncertainty of $ σ( \langle z \rangle ) < 0.002 (1 + z) $. In this work, these mean redshifts are inferred from the small-scale angular clustering of Euclid galaxies, which are distributed into bins with spectroscopic samples localised in narrow redshift slices. Methods: We generate spectroscopic mocks from the Flagship2 simulation for the Baryon Oscillation Spectroscopic Survey (BOSS), the Dark Energy Spectroscopic Instrument (DESI), and Euclid's Near-Infrared Spectrometer and Photometer (NISP) spectroscopic survey. We evaluate and optimise the clustering redshifts pipeline, introducing a new method for measuring photometric galaxy bias (clustering), which is the primary limitation of this technique. Results: We have successfully constrained the means and standard deviations of the redshift distributions for all of the tomographic bins (with a maximum photometric redshift of 1.6), achieving precision beyond the required thresholds. We have identified the main sources of bias, particularly the impact of the 1-halo galaxy distribution, which imposed a minimal separation scale of 1.5 Mpc for evaluating cross-correlations. These results demonstrate the potential of clustering redshifts to meet the precision requirements for Euclid, and we highlight several avenues for future improvements.
title	Euclid: Photometric redshift calibration with the clustering redshifts technique
topic	Cosmology and Nongalactic Astrophysics
url	https://arxiv.org/abs/2505.10416