activity
20172021
most citedExtended gamma-ray sources around pulsars constrain the origin of the positron flux at Earth

528 citations · 766 across the 16 of their papers we have counts for

collaborators

33 papers

hep-ex20211 cited

Combined dark matter searches towards dwarf spheroidal galaxies with Fermi-LAT, HAWC, H.E.S.S., MAGIC, and VERITAS

Celine Armand, Eric Charles, Mattia di Mauro +13

Cosmological and astrophysical observations suggest that 85\% of the total matter of the Universe is made of Dark Matter (DM). However, its nature remains one of the most challengi…

astro-ph.HE2021

Particle Acceleration in the Cygnus Superbubble

B. Hona

The Cygnus Cocoon is the first gamma-ray superbubble powered by a massive stellar association, the OB2 association. It was postulated that the combined effects of the stellar winds…

astro-ph.HE2021

The all-particle cosmic ray energy spectrum measured with HAWC

J. A. Morales-Soto, J. C. Arteaga-Velázquez

Thanks to recent technological development, a new generation of cosmic ray experiments have been developed with more sensitivity to study these particles in the primary energy inte…

astro-ph.HE2021

The contribution of distant sources to the observed flux of ultra high-energy cosmic rays

Ellis R. Owen, Qin Han, Kinwah Wu +2

Ultra-high-energy (UHE) cosmic rays (CRs) interact with cosmic background radiation through hadronic processes, and the Universe would become `opaque' to UHE CRs of energies

astro-ph.HE2021

A Novel Approach towards the Search for Gamma-ray Emission from the Northern Fermi Bubble with HAWC

Pooja Surajbali

The Fermi bubbles are structures observed in gamma rays at GeV energies, emanating from the central region of our galaxy and extending up to 8.5 kpc above and below the galactic pl…

physics.ins-det2021

Horizontal muon track identification with neural networks in HAWC

J. R. Angeles Camacho, H. León Vargas

Nowadays the implementation of artificial neural networks in high-energy physics has obtained excellent results on improving signal detection. In this work we propose to use neural…