We constrain the ΛCDM cosmological parameter s(8) by applying the extreme value statistics for galaxy cluster mass on the AMICO KiDS-DR3 catalogue. We sample the posterior distribution of the parameters by considering the likelihood of observing the largest cluster mass value in a sample of N-obs = 3644 clusters with intrinsic richness λ(*) > 20 in the redshift range z ∈ [0.10, 0.60]. We obtain s(8) = 0 . 90( + 0 .20) (-0.18), consistent within 1s with the measurements obtained by the Planck collaboration and with previous results from cluster cosmology exploiting AMICO KiDS-DR3. The constraints could improve by applying this method to forthcoming missions, such as Euclid and LSST, which are expected to deliver thousands of distant and massive clusters.
AMICO galaxy clusters in KiDS-DR3: Constraints on ΛCDM from extreme value statistics / Busillo, V; Covone, G; Sereno, M; Ingoglia, L; Radovich, M; Bardelli, S; Castignani, G; Giocoli, C; Lesci, GF; Marulli, F; Maturi, M; Moscardini, L; Puddu, E; Roncarelli, M. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - STAMPA. - 524:4(2023), pp. 5050-5059. [10.1093/mnras/stad2190]
AMICO galaxy clusters in KiDS-DR3: Constraints on ΛCDM from extreme value statistics
Ingoglia, L;Castignani, G;Lesci, GF;Marulli, F;Moscardini, L;
2023
Abstract
We constrain the ΛCDM cosmological parameter s(8) by applying the extreme value statistics for galaxy cluster mass on the AMICO KiDS-DR3 catalogue. We sample the posterior distribution of the parameters by considering the likelihood of observing the largest cluster mass value in a sample of N-obs = 3644 clusters with intrinsic richness λ(*) > 20 in the redshift range z ∈ [0.10, 0.60]. We obtain s(8) = 0 . 90( + 0 .20) (-0.18), consistent within 1s with the measurements obtained by the Planck collaboration and with previous results from cluster cosmology exploiting AMICO KiDS-DR3. The constraints could improve by applying this method to forthcoming missions, such as Euclid and LSST, which are expected to deliver thousands of distant and massive clusters.| File | Dimensione | Formato | |
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