activity
20182023
most citedDark matter constraints from dwarf galaxies: a data-driven analysis

50 citations · 60 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.HE2023

Deepening gamma-ray point-source catalogues with sub-threshold information

Aurelio Amerio, Francesca Calore, Pasquale Dario Serpico +1

We propose a novel statistical method to extend Fermi-LAT catalogues of high-latitude -ray sources below their nominal threshold. To do so, we rely on a recent determination of…

astro-ph.GA2021

Determining the Dark Matter distribution in galaxies with Deep Learning

Martín Emilio de los Rios, Mihael Petač, Bryan Zaldivar +3

We present a novel method to infer the Dark Matter (DM) content and spatial distribution within galaxies, based on convolutional neural networks trained within state-of-the-art hyd…

hep-ex2020★ 10 cited

Search for solar electron anti-neutrinos due to spin-flavor precession in the Sun with Super-Kamiokande-IV

Kamiokande Collaboration, K. Abe, C. Bronner +197

Due to a very low production rate of electron anti-neutrinos () via nuclear fusion in the Sun, a flux of solar is unexpected. An appearance of in solar…

quant-ph2020

Interaction-free measurements and counterfactual computation in IBM quantum computers

J. Alberto Casas, Bryan Zaldivar

The possibility of interaction-free measurements and counterfactual computations is a striking feature of quantum mechanics pointed out around 20 years ago. We implement such pheno…

astro-ph.HE2020

Dark matter constraints from dwarf galaxies with data-driven J-factors

Alexandre Alvarez, Francesca Calore, Anna Genina +3

We present an updated analysis of the gamma-ray flux from the directions of classical dwarf spheroidal galaxies, deriving new constraints on WIMP dark matter (DM) annihilation usin…

astro-ph.HE2018★ 50 cited

Dark matter constraints from dwarf galaxies: a data-driven analysis

Francesca Calore, Pasquale D. Serpico, Bryan Zaldivar

Dwarf galaxies represent a powerful probe of annihilating dark matter particle models, with gamma-ray data setting some of the best bounds available. A major issue in improving ove…