108 citations · 662 across the 34 of their papers we have counts for
6 papers · 1 filter
Classification of Fermi-LAT blazars with Bayesian neural networks
Anja Butter, Thorben Finke, Felicitas Keil +2
The use of Bayesian neural networks is a novel approach for the classification of gamma-ray sources. We focus on the classification of Fermi-LAT blazar candidates, which can be div…
EuCAPT White Paper: Opportunities and Challenges for Theoretical Astroparticle Physics in the Next Decade
R. Alves Batista, M. A. Amin, G. Barenboim +134
Astroparticle physics is undergoing a profound transformation, due to a series of extraordinary new results, such as the discovery of high-energy cosmic neutrinos with IceCube, the…
Constraining dark matter annihilation with cosmic ray antiprotons using neural networks
Felix Kahlhoefer, Michael Korsmeier, Michael Krämer +2
The interpretation of data from indirect detection experiments searching for dark matter annihilations requires computationally expensive simulations of cosmic-ray propagation. In…
Constraining positron emission from pulsar populations with AMS-02 data
Luca Orusa, Silvia Manconi, Fiorenza Donato +1
The cosmic-ray flux of positrons is measured with high precision by the space-borne particle spectrometer AMS-02. The hypothesis that pulsar wind nebulae (PWNe) can significantly c…
Does the Geminga, Monogem and PSR J0622+3749 -ray halos imply slow diffusion around pulsars?
Sarah Recchia, Mattia Di Mauro, Felix A. Aharonian +4
The HAWC Collaboration has reported the detection of an extended -ray emission around the Geminga and Monogem pulsars of a few degree extension. Very recently, the LHAASO Collab…
Dissecting the inner Galaxy with -ray pixel count statistics
Francesca Calore, Fiorenza Donato, Silvia Manconi
We combine adaptive template fitting and pixel count statistics in order to assess the nature of the Galactic center excess in Fermi-LAT data. We reconstruct the flux distribution…