The Cherenkov telescope array, an advanced facility for ground based gamma-ray astronomy

Author(s):  
J.-F. Glicenstein
2017 ◽  
Author(s):  
Imen Al Samarai ◽  
Frank Raphael Cadoux ◽  
Victor Coco ◽  
C Alispach ◽  
Domenico Della Volpe ◽  
...  

2019 ◽  
Vol 214 ◽  
pp. 06020
Author(s):  
Thomas Vuillaume ◽  
Jacquemont Mikael ◽  
Luca Antiga ◽  
Alexandre Benoit ◽  
Patrick Lambert ◽  
...  

The Cherenkov Telescope Array (CTA) is the next generation of ground-based gamma-ray telescopes for gamma-ray astronomy. Two arrays will be deployed composed of 19 telescopes in the Northern hemisphere and 99 telescopes in the Southern hemisphere. Due to its very high sensitivity, CTA will record a colossal amount of data that represent a computing challenge to the reconstruction software. Moreover, the vast majority of triggered events come from protons that represent a background for gamma-ray astronomy. Deep learning developments in the last few years have shown tremendous improvements in the analysis of data in many domains. Thanks to the huge amount of simulated data and later of real data, produced by CTA, these algorithms look well-suited and very promising. Moreover, the trained neural networks show very good computing performances during execution. Here we present a first study of deep learning architectures applied to CTA simulated data to perform the reconstruction of the particles energy and incoming direction and the development of a specific framework, GammaLearn, to accomplish this task.


2016 ◽  
Vol 11 (01) ◽  
pp. C01038-C01038
Author(s):  
E.J. Schioppa ◽  
M. Heller ◽  
I. Troyano Pujadas ◽  
D. della Volpe ◽  
Y. Favre ◽  
...  

2015 ◽  
Vol 11 (A29A) ◽  
pp. 337-339
Author(s):  
Elisabete M. de Gouveia Dal Pino

AbstractGamma-ray astronomy has a huge potential in astrophysics, particle physics and cosmology. The Cherenkov Telescope Array (CTA) is an international initiative to build the next-generation ground-based gamma-ray observatory which will have a factor of 5-10 improvement in sensitivity in the 100 GeV - 10 TeV range and an extension to energies well below 100 GeV and above 100 TeV. CTA is planned to consist of two arrays (one in the North and another in the South Hemisphere) and will provide the deepest insight ever reached into the non-thermal high-energy Universe and its particle accelerators.


2013 ◽  
Vol 43 ◽  
pp. 1-2 ◽  
Author(s):  
Jim Hinton ◽  
Subir Sarkar ◽  
Diego Torres ◽  
Johannes Knapp

2020 ◽  
Vol 501 (1) ◽  
pp. 337-346
Author(s):  
E Mestre ◽  
E de Oña Wilhelmi ◽  
D Khangulyan ◽  
R Zanin ◽  
F Acero ◽  
...  

ABSTRACT Since 2009, several rapid and bright flares have been observed at high energies (>100 MeV) from the direction of the Crab nebula. Several hypotheses have been put forward to explain this phenomenon, but the origin is still unclear. The detection of counterparts at higher energies with the next generation of Cherenkov telescopes will be determinant to constrain the underlying emission mechanisms. We aim at studying the capability of the Cherenkov Telescope Array (CTA) to explore the physics behind the flares, by performing simulations of the Crab nebula spectral energy distribution, both in flaring and steady state, for different parameters related to the physical conditions in the nebula. In particular, we explore the data recorded by Fermi during two particular flares that occurred in 2011 and 2013. The expected GeV and TeV gamma-ray emission is derived using different radiation models. The resulting emission is convoluted with the CTA response and tested for detection, obtaining an exclusion region for the space of parameters that rule the different flare emission models. Our simulations show different scenarios that may be favourable for achieving the detection of the flares in Crab with CTA, in different regimes of energy. In particular, we find that observations with low sub-100 GeV energy threshold telescopes could provide the most model-constraining results.


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