AMICO galaxy clusters in KiDS-DR3: constraints on $\Lambda$CDM from extreme value statistics
Valerio Busillo, Giovanni Covone, Mauro Sereno, Lorenzo Ingoglia,, Mario Radovich, Sandro Bardelli, Gianluca Castignani, Carlo Giocoli, Giorgio, Francesco Lesci, Federico Marulli, Matteo Maturi, Lauro Moscardini, Emanuela, Puddu, Mauro Roncarelli

TL;DR
This paper uses extreme value statistics on galaxy cluster data from KiDS-DR3 to constrain the DM parameter , obtaining results consistent with Planck and previous studies, and discusses future improvements with upcoming surveys.
Contribution
It introduces a novel application of extreme value statistics to galaxy cluster data for DM parameter estimation, demonstrating its effectiveness and potential for future surveys.
Findings
Estimated =0.90 with uncertainties overlapping Planck results
Method consistent with previous cluster cosmology measurements
Potential for improved constraints with future large surveys
Abstract
We constrain the CDM cosmological parameter by applying the extreme value statistics for galaxy cluster mass on the AMICO KiDS-DR3 catalog. We sample the posterior distribution of the parameters by considering the likelihood of observing the largest cluster mass value in a sample of clusters with intrinsic richness in the redshift range . We obtain , consistent within 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 and LSST, which are expected to deliver thousands of distant and massive clusters.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
