activity
19982022
most citedCGRaBS: An All-Sky Survey of Gamma-Ray Blazar Candidates

272 citations · 1.3k across the 34 of their papers we have counts for

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Showing astro-ph.IMShow all

7 papers · 1 filter

astro-ph.IM20212 cited

How can astrotourism serve the sustainable development goals? The Namibian example

Hannah Dalgleish, Getachew Mengistie, Michael Backes +2

Astrotourism brings new opportunities to generate sustainable socio-economic development, preserve cultural heritage, and inspire and educate the citizens of the globe. This form o…

astro-ph.IM202128 cited

TeV emission of Galactic plane sources with HAWC and H.E.S.S

H. Abdalla, F. Aharonian, F. Ait Benkhali +318

The High Altitude Water Cherenkov (HAWC) observatory and the High Energy Stereoscopic System (H.E.S.S.) are two leading instruments in the ground-based very-high-energy gamma-ray d…

astro-ph.IM2021

Probing extreme environments with the Cherenkov Telescope Array

C. Boisson, A. M. Brown, A. Burtovoi +127

The physics of the non-thermal Universe provides information on the acceleration mechanisms in extreme environments, such as black holes and relativistic jets, neutron stars, super…

astro-ph.IM202124 cited

Deep learning with photosensor timing information as a background rejection method for the Cherenkov Telescope Array

Samuel Spencer, Thomas Armstrong, Jason Watson +3

New deep learning techniques present promising new analysis methods for Imaging Atmospheric Cherenkov Telescopes (IACTs) such as the upcoming Cherenkov Telescope Array (CTA). In pa…

astro-ph.IM201937 cited

The Southern Wide-Field Gamma-Ray Observatory (SWGO): A Next-Generation Ground-Based Survey Instrument for VHE Gamma-Ray Astronomy

P. Abreu, A. Albert, R. Alfaro +95

We describe plans for the development of the Southern Wide-field Gamma-ray Observatory (SWGO), a next-generation instrument with sensitivity to the very-high-energy (VHE) band to b…

astro-ph.IM2019

Prospects for the Use of Photosensor Timing Information with Machine Learning Techniques in Background Rejection

Samuel Spencer, Thomas Armstrong, Jason Watson +1

Recent developments in machine learning (ML) techniques present a promising new analysis method for high-speed imaging in astroparticle physics experiments, for example with imagin…