Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering

Fuente: arXiv
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Dettagli Bibliografici
Autori principali: Fumagalli, A., Costanzi, M., Castro, T., Saro, A., Borgani, S., Romanello, M., Marulli, F., Tsaprazi, E., Monaco, P., Altieri, B., Amara, A., Amendola, L., Andreon, S., Auricchio, N., Baccigalupi, C., Baldi, M., Balestra, A., Bardelli, S., Biviano, A., Branchini, E., Brescia, M., Camera, S., Cañas-Herrera, G., Capobianco, V., Carbone, C., Carretero, J., Casas, S., Castellano, M., Castignani, G., Cavuoti, S., Chambers, K. C., Cimatti, A., Colodro-Conde, C., Congedo, G., Conversi, L., Copin, Y., Courbin, F., Courtois, H. M., Da Silva, A., Degaudenzi, H., de la Torre, S., De Lucia, G., Di Giorgio, A. M., Dole, H., Douspis, M., Dubath, F., Duncan, C. A. J., Dupac, X., Dusini, S., Escoffier, S., Farina, M., Farinelli, R., Faustini, F., Ferriol, S., Finelli, F., Fosalba, P., Fourmanoit, N., Frailis, M., Franceschi, E., Fumana, M., Galeotta, S., George, K., Gillis, B., Giocoli, C., Gracia-Carpio, J., Grazian, A., Grupp, F., Guzzo, L., Haugan, S. V. H., Holmes, W., Hormuth, F., Hornstrup, A., Jahnke, K., Jhabvala, M., Joachimi, B., Keihänen, E., Kermiche, S., Kiessling, A., Kubik, B., Kümmel, M., Kunz, M., Kurki-Suonio, H., Brun, A. M. C. Le, Ligori, S., Lilje, P. B., Lindholm, V., Lloro, I., Mainetti, G., Maino, D., Maiorano, E., Mansutti, O., Marggraf, O., Martinelli, M., Martinet, N., Massey, R. J., Medinaceli, E., Mei, S., Mellier, Y., Meneghetti, M., Merlin, E., Meylan, G., Mohr, J. J., Mora, A., Moresco, M., Moscardini, L., Munari, E., Nakajima, R., Neissner, C., Niemi, S. -M., Padilla, C., 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., Rosset, C., Saglia, R., Sakr, Z., Sánchez, A. G., Sapone, D., Sartoris, B., 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., Tallada-Crespí, P., Tavagnacco, D., Taylor, A. N., Tereno, I., Tessore, N., Toft, S., Toledo-Moreo, R., Torradeflot, F., Tutusaus, I., Valenziano, L., Valiviita, J., Vassallo, T., Kleijn, G. Verdoes, Veropalumbo, A., Wang, Y., Weller, J., Zamorani, G., Zerbi, F. M., Zucca, E., Burigana, C., Gabarra, L., Maturi, M., Porciani, C., Scottez, V., Sereno, M., Viel, M.
Natura: Preprint
Pubblicazione: 2025
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author Fumagalli, A.
Costanzi, M.
Castro, T.
Saro, A.
Borgani, S.
Romanello, M.
Marulli, F.
Tsaprazi, E.
Monaco, P.
Altieri, B.
Amara, A.
Amendola, L.
Andreon, S.
Auricchio, N.
Baccigalupi, C.
Baldi, M.
Balestra, A.
Bardelli, S.
Biviano, A.
Branchini, E.
Brescia, M.
Camera, S.
Cañas-Herrera, G.
Capobianco, V.
Carbone, C.
Carretero, J.
Casas, S.
Castellano, M.
Castignani, G.
Cavuoti, S.
Chambers, K. C.
Cimatti, A.
Colodro-Conde, C.
Congedo, G.
Conversi, L.
Copin, Y.
Courbin, F.
Courtois, H. M.
Da Silva, A.
Degaudenzi, H.
de la Torre, S.
De Lucia, G.
Di Giorgio, A. M.
Dole, H.
Douspis, M.
Dubath, F.
Duncan, C. A. J.
Dupac, X.
Dusini, S.
Escoffier, S.
Farina, M.
Farinelli, R.
Faustini, F.
Ferriol, S.
Finelli, F.
Fosalba, P.
Fourmanoit, N.
Frailis, M.
Franceschi, E.
Fumana, M.
Galeotta, S.
George, K.
Gillis, B.
Giocoli, C.
Gracia-Carpio, J.
Grazian, A.
Grupp, F.
Guzzo, L.
Haugan, S. V. H.
Holmes, W.
Hormuth, F.
Hornstrup, A.
Jahnke, K.
Jhabvala, M.
Joachimi, B.
Keihänen, E.
Kermiche, S.
Kiessling, A.
Kubik, B.
Kümmel, M.
Kunz, M.
Kurki-Suonio, H.
Brun, A. M. C. Le
Ligori, S.
Lilje, P. B.
Lindholm, V.
Lloro, I.
Mainetti, G.
Maino, D.
Maiorano, E.
Mansutti, O.
Marggraf, O.
Martinelli, M.
Martinet, N.
Massey, R. J.
Medinaceli, E.
Mei, S.
Mellier, Y.
Meneghetti, M.
Merlin, E.
Meylan, G.
Mohr, J. J.
Mora, A.
Moresco, M.
Moscardini, L.
Munari, E.
Nakajima, R.
Neissner, C.
Niemi, S. -M.
Padilla, C.
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.
Rosset, C.
Saglia, R.
Sakr, Z.
Sánchez, A. G.
Sapone, D.
Sartoris, B.
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.
Tallada-Crespí, P.
Tavagnacco, D.
Taylor, A. N.
Tereno, I.
Tessore, N.
Toft, S.
Toledo-Moreo, R.
Torradeflot, F.
Tutusaus, I.
Valenziano, L.
Valiviita, J.
Vassallo, T.
Kleijn, G. Verdoes
Veropalumbo, A.
Wang, Y.
Weller, J.
Zamorani, G.
Zerbi, F. M.
Zucca, E.
Burigana, C.
Gabarra, L.
Maturi, M.
Porciani, C.
Scottez, V.
Sereno, M.
Viel, M.
author_facet Fumagalli, A.
Costanzi, M.
Castro, T.
Saro, A.
Borgani, S.
Romanello, M.
Marulli, F.
Tsaprazi, E.
Monaco, P.
Altieri, B.
Amara, A.
Amendola, L.
Andreon, S.
Auricchio, N.
Baccigalupi, C.
Baldi, M.
Balestra, A.
Bardelli, S.
Biviano, A.
Branchini, E.
Brescia, M.
Camera, S.
Cañas-Herrera, G.
Capobianco, V.
Carbone, C.
Carretero, J.
Casas, S.
Castellano, M.
Castignani, G.
Cavuoti, S.
Chambers, K. C.
Cimatti, A.
Colodro-Conde, C.
Congedo, G.
Conversi, L.
Copin, Y.
Courbin, F.
Courtois, H. M.
Da Silva, A.
Degaudenzi, H.
de la Torre, S.
De Lucia, G.
Di Giorgio, A. M.
Dole, H.
Douspis, M.
Dubath, F.
Duncan, C. A. J.
Dupac, X.
Dusini, S.
Escoffier, S.
Farina, M.
Farinelli, R.
Faustini, F.
Ferriol, S.
Finelli, F.
Fosalba, P.
Fourmanoit, N.
Frailis, M.
Franceschi, E.
Fumana, M.
Galeotta, S.
George, K.
Gillis, B.
Giocoli, C.
Gracia-Carpio, J.
Grazian, A.
Grupp, F.
Guzzo, L.
Haugan, S. V. H.
Holmes, W.
Hormuth, F.
Hornstrup, A.
Jahnke, K.
Jhabvala, M.
Joachimi, B.
Keihänen, E.
Kermiche, S.
Kiessling, A.
Kubik, B.
Kümmel, M.
Kunz, M.
Kurki-Suonio, H.
Brun, A. M. C. Le
Ligori, S.
Lilje, P. B.
Lindholm, V.
Lloro, I.
Mainetti, G.
Maino, D.
Maiorano, E.
Mansutti, O.
Marggraf, O.
Martinelli, M.
Martinet, N.
Massey, R. J.
Medinaceli, E.
Mei, S.
Mellier, Y.
Meneghetti, M.
Merlin, E.
Meylan, G.
Mohr, J. J.
Mora, A.
Moresco, M.
Moscardini, L.
Munari, E.
Nakajima, R.
Neissner, C.
Niemi, S. -M.
Padilla, C.
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.
Rosset, C.
Saglia, R.
Sakr, Z.
Sánchez, A. G.
Sapone, D.
Sartoris, B.
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.
Tallada-Crespí, P.
Tavagnacco, D.
Taylor, A. N.
Tereno, I.
Tessore, N.
Toft, S.
Toledo-Moreo, R.
Torradeflot, F.
Tutusaus, I.
Valenziano, L.
Valiviita, J.
Vassallo, T.
Kleijn, G. Verdoes
Veropalumbo, A.
Wang, Y.
Weller, J.
Zamorani, G.
Zerbi, F. M.
Zucca, E.
Burigana, C.
Gabarra, L.
Maturi, M.
Porciani, C.
Scottez, V.
Sereno, M.
Viel, M.
contents This study explores the impact of observational and modelling systematic effects on cluster number counts and cluster clustering and provides model prescriptions for their joint analysis, in the context of the \Euclid survey. Using 1000 \Euclid-like cluster catalogues, we investigate the effect of systematic uncertainties on cluster summary statistics and their auto- and cross-covariance, and perform a likelihood analysis to evaluate their impact on cosmological constraints, with a focus on the matter density parameter $Ω_{\rm m}$ and on the power spectrum amplitude $σ_8$. Combining cluster clustering with number counts significantly improves cosmological constraints, with the figure of merit increasing by over 300\% compared to number counts alone. We confirm that the two probes are uncorrelated, and the cosmological constraints derived from their combination are almost insensitive to the cosmology dependence of the covariance. We find that photometric redshift uncertainties broaden cosmological posteriors by 20--30\%, while secondary effects like redshift-space distortions (RSDs) have a smaller impact on the posteriors -- 5\% for clustering alone, 10\% when combining probes -- but can significantly bias the constraints if neglected. We show that clustering data below $60\,h^{-1}\,$Mpc provides additional constraining power, while scales larger than acoustic oscillation scale add almost no information on $Ω_{\rm m}$ and $σ_8$ parameters. RSDs and photo-$z$ uncertainties also influence the number count covariance, with a significant impact, of about 15--20\%, on the parameter constraints.
format Preprint
id arxiv_https___arxiv_org_abs_2510_13509
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering
Fumagalli, A.
Costanzi, M.
Castro, T.
Saro, A.
Borgani, S.
Romanello, M.
Marulli, F.
Tsaprazi, E.
Monaco, P.
Altieri, B.
Amara, A.
Amendola, L.
Andreon, S.
Auricchio, N.
Baccigalupi, C.
Baldi, M.
Balestra, A.
Bardelli, S.
Biviano, A.
Branchini, E.
Brescia, M.
Camera, S.
Cañas-Herrera, G.
Capobianco, V.
Carbone, C.
Carretero, J.
Casas, S.
Castellano, M.
Castignani, G.
Cavuoti, S.
Chambers, K. C.
Cimatti, A.
Colodro-Conde, C.
Congedo, G.
Conversi, L.
Copin, Y.
Courbin, F.
Courtois, H. M.
Da Silva, A.
Degaudenzi, H.
de la Torre, S.
De Lucia, G.
Di Giorgio, A. M.
Dole, H.
Douspis, M.
Dubath, F.
Duncan, C. A. J.
Dupac, X.
Dusini, S.
Escoffier, S.
Farina, M.
Farinelli, R.
Faustini, F.
Ferriol, S.
Finelli, F.
Fosalba, P.
Fourmanoit, N.
Frailis, M.
Franceschi, E.
Fumana, M.
Galeotta, S.
George, K.
Gillis, B.
Giocoli, C.
Gracia-Carpio, J.
Grazian, A.
Grupp, F.
Guzzo, L.
Haugan, S. V. H.
Holmes, W.
Hormuth, F.
Hornstrup, A.
Jahnke, K.
Jhabvala, M.
Joachimi, B.
Keihänen, E.
Kermiche, S.
Kiessling, A.
Kubik, B.
Kümmel, M.
Kunz, M.
Kurki-Suonio, H.
Brun, A. M. C. Le
Ligori, S.
Lilje, P. B.
Lindholm, V.
Lloro, I.
Mainetti, G.
Maino, D.
Maiorano, E.
Mansutti, O.
Marggraf, O.
Martinelli, M.
Martinet, N.
Massey, R. J.
Medinaceli, E.
Mei, S.
Mellier, Y.
Meneghetti, M.
Merlin, E.
Meylan, G.
Mohr, J. J.
Mora, A.
Moresco, M.
Moscardini, L.
Munari, E.
Nakajima, R.
Neissner, C.
Niemi, S. -M.
Padilla, C.
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.
Rosset, C.
Saglia, R.
Sakr, Z.
Sánchez, A. G.
Sapone, D.
Sartoris, B.
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.
Tallada-Crespí, P.
Tavagnacco, D.
Taylor, A. N.
Tereno, I.
Tessore, N.
Toft, S.
Toledo-Moreo, R.
Torradeflot, F.
Tutusaus, I.
Valenziano, L.
Valiviita, J.
Vassallo, T.
Kleijn, G. Verdoes
Veropalumbo, A.
Wang, Y.
Weller, J.
Zamorani, G.
Zerbi, F. M.
Zucca, E.
Burigana, C.
Gabarra, L.
Maturi, M.
Porciani, C.
Scottez, V.
Sereno, M.
Viel, M.
Cosmology and Nongalactic Astrophysics
85A40
This study explores the impact of observational and modelling systematic effects on cluster number counts and cluster clustering and provides model prescriptions for their joint analysis, in the context of the \Euclid survey. Using 1000 \Euclid-like cluster catalogues, we investigate the effect of systematic uncertainties on cluster summary statistics and their auto- and cross-covariance, and perform a likelihood analysis to evaluate their impact on cosmological constraints, with a focus on the matter density parameter $Ω_{\rm m}$ and on the power spectrum amplitude $σ_8$. Combining cluster clustering with number counts significantly improves cosmological constraints, with the figure of merit increasing by over 300\% compared to number counts alone. We confirm that the two probes are uncorrelated, and the cosmological constraints derived from their combination are almost insensitive to the cosmology dependence of the covariance. We find that photometric redshift uncertainties broaden cosmological posteriors by 20--30\%, while secondary effects like redshift-space distortions (RSDs) have a smaller impact on the posteriors -- 5\% for clustering alone, 10\% when combining probes -- but can significantly bias the constraints if neglected. We show that clustering data below $60\,h^{-1}\,$Mpc provides additional constraining power, while scales larger than acoustic oscillation scale add almost no information on $Ω_{\rm m}$ and $σ_8$ parameters. RSDs and photo-$z$ uncertainties also influence the number count covariance, with a significant impact, of about 15--20\%, on the parameter constraints.
title Euclid: Exploring observational systematics in cluster cosmology -- a comprehensive analysis of cluster counts and clustering
topic Cosmology and Nongalactic Astrophysics
85A40
url https://arxiv.org/abs/2510.13509