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20172024
most citedUse of Machine Learning for gamma/hadron separation with HAWC

5 citations · 10 across the 12 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

hep-ex2021★ 1 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

Monitoring the radio galaxy M87 with HAWC

T. Capistrán, D. Avila Rojas, M. M. González +2

Studies of radio galaxies at TeV energies are fascinating because their jets are misaligned concerning our sightline. Thus, it provides us with a unique opportunity to study the st…

astro-ph.HE2021★ 5 cited

Use of Machine Learning for gamma/hadron separation with HAWC

T. Capistrán, K. L. Fan, J. T. Linnemann +3

Background showers triggered by hadrons represent over 99.9% of all particles arriving at ground-based gamma-ray observatories. An important stage in the data analysis of these obs…

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…