activity
20072025
most citedThe energy spectrum of cosmic-ray electrons at TeV energies

638 citations · 12.1k across the 215 of their papers we have counts for

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Showing astro-ph.IMShow all

25 papers · 1 filter

astro-ph.IM2023★ 11 cited

Current status and operation of the H.E.S.S. array of imaging atmospheric Cherenkov telescopes

S. Ohm, S. Wagner

The High Energy Stereoscopic System (H.E.S.S.) is an array of five imaging atmospheric Cherenkov telescopes (IACTs) to study gamma-ray emission from astrophysical objects in the So…

astro-ph.IM2023

ULTRASAT: A wide-field time-domain UV space telescope

Y. Shvartzvald, E. Waxman, A. Gal-Yam +41

The Ultraviolet Transient Astronomy Satellite (ULTRASAT) is scheduled to be launched to geostationary orbit in 2026. It will carry a telescope with an unprecedentedly large field o…

astro-ph.IM2023★ 40 cited

The Large Array Survey Telescope -- System Overview and Performances

E. O. Ofek, S. Ben-Ami, D. Polishook +38

The Large Array Survey Telescope (LAST) is a wide-field visible-light telescope array designed to explore the variable and transient sky with a high cadence. LAST will be composed…

astro-ph.IM2023★ 19 cited

The Large Array Survey Telescope -- Science Goals

S. Ben-Ami, E. O. Ofek, D. Polishook +20

The Large Array Survey Telescope (LAST) is designed to survey the variable and transient sky at high temporal cadence. The array is comprised of 48 F/2.2 telescopes of 27.9cm apert…

astro-ph.IM2023★ 3 cited

Validating Monte Carlo simulations for an analysis chain in H.E.S.S

Fabian Leuschner, Johannes Schäfer, Simon Steinmassl +6

Imaging Air Cherenkov Telescopes (IACTs) detect very high energetic (VHE) gamma rays. They observe the Cherenkov light emitted in electromagnetic shower cascades that gamma rays in…

astro-ph.IM2022★ 5 cited

Investigations of the Systematic Uncertainties in Convolutional Neural Network Based Analysis of Atmospheric Cherenkov Telescope Data

R. D. Parsons, A. M. W. Mitchell, S. Ohm

Machine learning, through the use of convolutional and recurrent neural networks is a promising avenue for the improvement of background rejection performance in imaging atmospheri…