5 papers
Aletheia: Emulating the halo mass function with evolution mapping
Andrea Fiorilli, Ariel G. Sánchez, Andrés N. Ruiz +1
We present an emulator of the halo mass function (HMF) based on Gaussian-process regression, that exploits the evolution mapping framework. This framework splits cosmological param…
Improved recipes for peculiar velocity power spectra using Evolution Mapping
Matteo Esposito, Ariel G. Sánchez, Julien Bel +1
We present new fitting functions for the velocity divergence auto- and cross-power spectra, and , calibrated on gravity-only -body simulations. By applyin…
CNN+FoF: application of deep learning to the identification of dark matter haloes
Soumadeep Maiti, Carlos M. Correa, Andrea Fiorilli +4
We present a deep-learning-based approach for identifying dark matter haloes in cosmological N-body simulations. Our framework consists of a volumetric Convolutional Neural Network…
Evolution mapping II: describing statistics of the non-linear cosmic velocity field
Matteo Esposito, Ariel G. Sánchez, Julien Bel +1
We extend the evolution mapping approach, originally proposed by Sanchez (2022) to describe non-linear matter density fluctuations, to statistics of the cosmic velocity field. This…
Void Probability Function inside cosmic voids: evidence for hierarchical scaling of high-order correlations in real space
Federico Dávila-Kurbán, Andrés N. Ruiz, Dante Paz +1
We compare the reduced void probability function (VPF) inside and outside of cosmic voids in the TNG300-1 simulation, both in real and simulated redshift space. The VPF is a specia…