Programma: PRIN
Responsabile scientifico per il dipartimento: Lauro Moscardini
Struttura principale: DIFA
Data inizio e data fine: dal 28/09/2023 al 28/09/2025
Indagare le tensioni cosmologiche con i Cluster di Galassie
Il progetto analizza i Cluster tramite segnali X, SZ e lenti gravitazionali per stimare massa e distanza, affrontando le tensioni su H₀ e ΛCDM e formando giovani ricercatori nell’uso dei dati multi-banda.
Investigating Cosmological Tensions with Galaxy Clusters
The project analyzes Clusters via X-ray, SZ, and lensing signals to estimate mass and distance, addressing tensions on H₀ and ΛCDM, while training young researchers in multi-band data exploitation.
Abstract
Together with a complete and almost exhaustive picture of our Universe, the unprecedented accuracy of the Planck results hasproduced also two remarkable tensions with what has been obtained with other probes: the present value of Hubble constant H0 andthe estimates of the mass of the largest gravitationally-bound cosmic structures, the Galaxy Clusters. We propose to address boththese topics with a multi-wavelength homogenous joint analysis of these ultimate products of structure formation in time and mass.By assessing their mass scale, their mass distribution, the shapes of the hosting haloes and their distances (by combining X-ray andSunyaev-Zeldovich signals), their number density and clustering with unique samples, we will constrain the most fundamentalparameters describing the constituents of our Universe in the framework of the concordance cosmological Lambda Cold Dark Mattermodel, and we will quantify any tension within the current paradigm. With activities compliant with the Horizon Europe framework,the requested funds will allow us to consolidate our leading roles in the international context of the (X-ray, SZ and lensing) dataanalysis, theoretical interpretation, modelization, numerical simulation of the structure and distribution of Galaxy Clusters. As animportant part of our project, we plan to train younger scientists in the exploitation of the data from the next-generation instrumentsand to ensure a broad dissemination of the obtained results.