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AMICO galaxy clusters in KiDS-DR3: constraints on ΛCDM from extreme value statistics

We constrain the ΛCDM cosmological parameter σ8 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 Nobs = 364...

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Main Authors: Busillo, Valerio (Author) , Covone, G (Author) , Sereno, M (Author) , Ingoglia, L (Author) , Radovich, M (Author) , Bardelli, S (Author) , Castignani, G (Author) , Giocoli, C (Author) , Lesci, G F (Author) , Marulli, F (Author) , Maturi, Matteo (Author) , Moscardini, L (Author) , Puddu, E (Author) , Roncarelli, M (Author)
Format: Article (Journal)
Language:English
Published: October 2023
In: Monthly notices of the Royal Astronomical Society
Year: 2023, Volume: 524, Issue: 4, Pages: 5050-5059
ISSN:1365-2966
DOI:10.1093/mnras/stad2190
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/mnras/stad2190
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Author Notes:V. Busillo, G. Covone, M. Sereno, L. Ingoglia, M. Radovich, S. Bardelli, G. Castignani, C. Giocoli, G.F. Lesci, F. Marulli, M. Maturi, L. Moscardini, E. Puddu and M. Roncarelli
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Summary:We constrain the ΛCDM cosmological parameter σ8 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 Nobs = 3644 clusters with intrinsic richness λ* > 20 in the redshift range z ∈ [0.10, 0.60]. We obtain $\sigma _{8}=0.90_{-0.18}^{+0.20}$, consistent within 1σ 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.
Item Description:Veröffentlicht: 21. Juli 2023
Gesehen am 06.10.2023
Physical Description:Online Resource
ISSN:1365-2966
DOI:10.1093/mnras/stad2190

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