# ZEU-CTA

 2018-11-0513:59 [PUBDB-2018-04146] Report/Journal Article et al Application of deep learning methods to analysis of imaging atmospheric Cherenkov telescopes data [arXiv:1803.10698] Astroparticle physics 105, 44 - 53 (2019) [10.1016/j.astropartphys.2018.10.003]   Ground based γ-ray observations with Imaging Atmospheric Cherenkov Telescopes (IACTs) play a significant role in the discovery of very high energy (E > 100 GeV) γ-ray emitters. The analysis of IACT data demands a highly efficient background rejection technique, as well as methods to accurately determine the position of its source in the sky and the energy of the recorded γ-ray [...] Restricted: PDF PDF (PDFA); 2018-10-0815:22 [PUBDB-2018-03725] Report/Journal Article Maier, G. Observing Small-Scale $\gamma$-Ray Anisotropies with the Cherenkov Telescope Array [DESY-18-095; arXiv:1806.01839]   Disentangling the composition of the diffuse $\gamma$-ray background (DGRB) is a major challenge in $\gamma$-ray astronomy. It is presumed that at the highest energies, the DGRB is dominated by relatively few, still unresolved point sources. [...] Restricted: PDF PDF (PDFA); 2018-08-2008:54 [PUBDB-2018-03055] Preprint/Report Maier, G. Observing small-scale gamma-ray anisotropies with the Cherenkov Telescope Array [DESY-18-095; arXiv:1806.01839]   Disentangling the composition of the diffuse gamma-ray background (DGRB) is a major challenge in gamma-ray astronomy. It is presumed that at the highest energies, the DGRB is dominated by relatively few, still unresolved point sources. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:50 [PUBDB-2018-00842] Preprint/Report et al Control Software for the SST-1M Small-Size Telescope prototype for the Cherenkov Telescope Array [arXiv:1709.04244]   The SST-1M is a 4-m Davies--Cotton atmospheric Cherenkov telescope optimized to provide gamma-ray sensitivity above a few TeV. The SST-1M is proposed as part of the Small-Size Telescope array for the Cherenkov Telescope Array (CTA), the first prototype has already been deployed. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:47 [PUBDB-2018-00841] Preprint/Report Cherenkov Telescope Array Consortium End-to-end data acquisition pipeline for the Cherenkov Telescope Array [arXiv:1709.04203]   The Cherenkov Telescope Array (CTA) will operate several types of telescopes and cameras. The individual camera trigger rates will vary much - from 0.6 to 15 kHz - while the content of the raw data will be heterogeneous. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:42 [PUBDB-2018-00840] Preprint/Report et al Gammapy: high level data analysis for extragalactic science cases with the Cherenkov Telescope Arrayonsortium [arXiv:1709.10169]   The Cherenkov Telescope Array (CTA) observatory will probe the non-thermal universe above 20 GeV up to several hundreds of TeV with a significant improvement in sensitivity and angular resolution compared to current experiments. Its outstanding capabilities will allow to increase the number of extragalactic cosmic accelerators detected at very high energy (VHE) and therefore to better constrain the population of VHE accelerators and the gamma-ray absorption processes in the intergalactic medium. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:38 [PUBDB-2018-00839] Preprint/Report et al Exploring deep learning as an event classification method for the Cherenkov Telescope Array [arXiv:1709.05889]   Telescopes based on the imaging atmospheric Cherenkov technique (IACTs) detect images of the atmospheric showers generated by gamma rays and cosmic rays as they are absorbed by the atmosphere. The much more frequent cosmic-ray events form the main background when looking for gamma-ray sources, and therefore IACT sensitivity is significantly driven by the capability to distinguish between these two types of events. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:33 [PUBDB-2018-00838] Preprint/Report et al Studies of the nature of the low-energy, gamma-like background for Cherenkov Telescope Array [arXiv:1709.04245]   The upcoming Cherenkov Telescope Array (CTA) project is expected to provide unprecedented sensitivity in the low-energy ( <~100 GeV) range for Cherenkov telescopes. In order to exploit fully the potential of the telescopes the standard analysis methods for gamma/hadron separation might need to be revised. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:29 [PUBDB-2018-00837] Preprint/Report et al A Monte Carlo simulation study for cosmic-ray chemical composition measurement with Cherenkov Telescope Array [arXiv:1709.03241]   Our Galaxy is filled with cosmic-ray particles and more than 98% of them are atomic nuclei. In order to clarify their origin and acceleration mechanism, chemical composition measurements of these cosmic rays with wide energy coverage play an important role. [...] OpenAccess: PDF PDF (PDFA); 2018-01-2516:22 [PUBDB-2018-00836] Preprint/Report et al Gammapy - A prototype for the CTA science tools [arXiv:1709.01751]   Gammapy is a Python package for high-level gamma-ray data analysis built on Numpy, Scipy and Astropy. It enables us to analyze gamma-ray data and to create sky images, spectra and lightcurves, from event lists and instrument response information, and to determine the position, morphology and spectra of gamma-ray sources. [...] OpenAccess: PDF PDF (PDFA);