3 papers
astro-ph.CO2026
Cosmology-dependent covariance in galaxy cluster number counts: consequences for parameter inference
Henrique C. N. Lettieri, Mariana Penna-Lima, Sandro D. P. Vitenti
Galaxy clusters provide constraints on cosmology through their abundance as a function of mass and redshift. Parameter inference from cluster counts requires modelling the covarian…
astro-ph.IM2024
AutoKnots: Adaptive Knot Allocation for Spline Interpolation
Sandro D. P. Vitenti, Fernando de Simoni, Mariana Penna-Lima +1
In astrophysical and cosmological analyses, the increasing quality and volume of astronomical data demand efficient and precise computational tools. This work introduces a novel ad…
astro-ph.CO2024
Towards including super-sample covariance in the unbinned likelihood for cluster abundance cosmology
Constantin Payerne, Calum Murray, Céline Combet +1
The measurement of the abundance of galaxy clusters in the Universe is a sensitive probe of cosmology, which depends on both the expansion history of the Universe and the growth of…