125 citations
- Flatiron Health (United States)US11 papers
- Princeton UniversityUS11 papers
- Flatiron Institute9 papers
- Centre National de la Recherche ScientifiqueFR7 papers
- University of BolognaIT6 papers
- Aix-Marseille UniversitéFR4 papers
- Centre de physique des particules de MarseilleFR4 papers
- Institut d'Astrophysique de ParisFR4 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di BolognaIT4 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PadovaIT4 papers
- Ludwig-Maximilians-Universität MünchenDE4 papers
- Osservatorio di Astrofisica e Scienza dello Spazio4 papers
6 papers · 2 filters
DEMNUni: disentangling dark energy from massive neutrinos with the void size function
Giovanni Verza, Carmelita Carbone, Alice Pisani +1
Cosmic voids, the underdense regions in the Universe, are impacted by dark energy and massive neutrinos. In this work, relying on the DEMNUni suite of cosmological simulations, we…
The perspective of voids on rising cosmology tensions
Sofia Contarini, Alice Pisani, Nico Hamaus +3
We investigate the main tensions within the current standard model of cosmology from the perspective of the main statistics of cosmic voids, using the final BOSS DR12 data set. For…
Machine-learning cosmology from void properties
Bonny Y. Wang, Alice Pisani, Francisco Villaescusa-Navarro +1
Cosmic voids are the largest and most underdense structures in the Universe. Their properties have been shown to encode precious information about the laws and constituents of the…
Cosmological constraints from the BOSS DR12 void size function
Sofia Contarini, Alice Pisani, Nico Hamaus +3
We present the first cosmological constraints derived from the analysis of the void size function. This work relies on the final BOSS DR12 data set, a large spectroscopic galaxy ca…
Euclid: Cosmological forecasts from the void size function
S. Contarini, G. Verza, A. Pisani +123
The Euclid mission with its spectroscopic galaxy survey covering a sky area over in the redshift range will provide a sample of tens o…
The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…