Accès ouvert déclaré
2024
preprint
Euclid preparation : XLII. A unified catalogue-level reanalysis of weak lensing by galaxy clusters in five imaging surveys
Euclid Collaboration, M. Sereno, S. Farrens, L. Ingoglia, G.F Lesci, Lucie Baumont, G. Covone, C. Giocoli, F. Marulli, S. Miranda La Hera, Michael W. Vannier, A. Biviano, S. Maurogordato, L. Moscardini, N. Aghanim, S. Andreon, N. Auricchio, Marco Baldi, S. Bardelli, F. Bellagamba, C. Bodendorf, D. Bonino, E. Branchini, M. Brescia, J. Brinchmann, S. Camera, V. Capobianco, C. Carbone, V. F. Cardone, J. Carretero, Santiago Casas, M. Castellano, S. Cavuoti, A. Cimatti, R. Clédassou, G. Congedo, Christopher J. Conselice, L. Conversi, Y. Copin, L. Corcione, F. Courbin, H. M. Courtois, M. Cropper, A. Da Silva, H. Degaudenzi, A. M. Di Giorgio, J. Dinis, F. Dubath, C. A. J. Duncan, X. Dupac, S. Dusini, M. Farina, S. Ferriol, M. Frailis, E. Franceschi, M. Fumana, S. Galeotta, B. Garilli, B. Gillis, A. Grazian, F. Grupp, S. V. H. Haugan, W. A. Holmes, I. Hook, F. Hormuth, A. Hornstrup, P. Hudelot, K. Jahnkę, Benjamin Joachimi, E. Keihänen, S. Kermiche, A. Kiessling, B. Kubik, M. Kunz, H. Kurki‐Suonio, S. Ligori, P. B. Lilje, V. Lindholm, I. Lloro, D. Maino, E. Maiorano, O. Mansutti, O. Marggraf, K. Markovič, N. Martinet, R. Massey, E. Medinaceli, S. Mei, Y. Mellier, M. Meneghetti, E. Merlin, G. Meylan, M. Moresco, E. Munari, S. -M. Niemi, T. Nutma, S. Paltani, F. Pasian, K. Pedersen, V. Pettorino, S. Pires, G. Polenta, M. Poncet, L. Popa, F. Raison, R. Rébolo, A. Renzi, J. Rhodes, G. Riccio, E. Romelli, M. Roncarelli, E. Rossetti, R. P. Saglia, D. Sapone, B. Sartoris, M. Schirmer, T. Schrabback, A. Secroun, G. Seidel, S. Serrano, C. Sirignano, G. Sirri, L. Stančo, Jean‐Luc Starck, P. Tallada-Crespí, A. N. Taylor, I. Tereno, R. Toledo-Moreo, F. Torradeflot, I. Tutusaus, E. A. Valentijn, L. Valenziano, T. Vassallo, A. Veropalumbo, Yun Wang, J. Weller, A. Zacchei, G. Zamorani, J. Zoubian, E. Zucca, A. Boucaud, E. Bozzo, C. Cerna, C. Colodro-Conde, D. Di Ferdinando, R. Farinelli, H. Israel, N. Mauri, C. Neissner, V Scottez, M. Tenti, M. Wiesmann, Y. Akrami, V. Allevato, C. Baccigalupi, M. Ballardini, D. Benielli, S. Borgani, A. S. Borlaff, C. Burigana, R Cabanac, A Cappi, C. S. Carvalho, G. Castignani, T. Castro, G Cañas-Herrera, K. C. Chambers, J. Coupon, S. Davini, G. De Lucia, G. Desprez, S. Di Domizio, H. Dole, J.A. Escartin Vigo, S. Escoffier, I. Ferrero, L. Gabarra, E. Gaztañaga, Koshy George, F. Giacomini, G. Gozaliasl, H. Hildebrandt, J. J. E. Kajava, V. Kansal, C.C Kirkpatrick, L. Legrand, P. Liebing, A. Loureiro, J. F. Macías–Pérez, M. Magliocchetti, G. Mainetti, M. Martinelli, C. J. A. P. Martins, S Matthew, M. Maturi, L. Maurin, R. B. Metcalf, Pierluigi Monaco, G. Morgante, S. Nadathur, Achille Nucita, L. Patrizii, A. Peel, M. Pöntinen, V. Popa, C. Porciani, D. Potter, P. Reimberg, Z. Sakr, Ariel G. Sánchez, Aurel Schneider, E. Sefusatti, P. Šimon, A. Spurio Mancini, Joachim Stadel, S. A. Stanford, J. Steinwagner, Romain Teyssier, J. Väliviita, Matteo Viel
0Citations signalées, ce qui n’est pas une note de qualité
1Institutions déclarées
1Pays d’affiliation déclarés
Rattachement africain : de.
Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Precise and accurate mass calibration is required to exploit galaxy clusters as astrophysical and cosmological probes in the Euclid era. Systematic errors in lensing signals by galaxy clusters can be empirically estimated by comparing different surveys with independent and uncorrelated systematics. To assess the robustness of the lensing results to systematic errors, we carried out end-to-end tests across different data sets. We performed a unified analysis at the catalogue level by leveraging the Euclid combined cluster and weak-lensing pipeline (COMB-CL). COMB-CL will measure weak lensing cluster masses for the Euclid Survey. Heterogeneous data sets from five independent, recent, lensing surveys (CHFTLenS, DES~SV1, HSC-SSP~S16a, KiDS~DR4, and RCSLenS), which exploited different shear and photometric redshift estimation algorithms, were analysed with a consistent pipeline under the same model assumptions. We performed a comparison of the amplitude of the reduced excess surface density and of the mass estimates using lenses from the Planck PSZ2 and SDSS redMaPPer cluster samples. Mass estimates agree with literature results collected in the LC2 catalogues. Mass accuracy was further investigated considering the AMICO detected clusters in the HSC-SSP XXL North field. The consistency of the data sets was tested using our unified analysis framework. We found agreement between independent surveys, at the level of systematic noise in Stage-III surveys or precursors. This indicates successful control over systematics. If such control continues in Stage-IV, Euclid will be able to measure the weak lensing masses of around 13000 (considering shot noise only) or 3000 (noise from shape and large-scale-structure) massive clusters with a signal-to-noise ratio greater than 3.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
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Les sujets associés
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