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…
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 III: A new recipe for the halo mass function
Andrea Fiorilli, Andrés N. Ruiz, Ariel G. Sanchez +1
We present a new prescription for the halo mass function (HMF) built upon the Evolution Mapping framework. This approach provides a physical motivation to parametrise the non-unive…
Aletheia: Emulating the non-linear matter power spectrum in the context of evolution mapping
Ariel G. Sanchez, Andrés N. Ruiz, Facundo Rodriguez +7
We present Aletheia, a new emulator of the non-linear matter power spectrum, , built upon the evolution mapping framework. This framework addresses the limitations of traditi…
A revisited Correction to the Halo Mass Function for local-type Primordial non-Gaussianity
Luca Fiorino, Sofia Contarini, Federico Marulli +4
We investigate the effect of primordial non-Gaussianities on halo number counts using N-body simulations with different values of . We show how current theore…