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  Monte Carlo Performance Studies of Candidate Sites for the Cherenkov Telescope Array

Maier, G., Arrabito, L., Bernlöhr, K., Bregeon, J., Di Pierro, F., Hassan, T., et al. (2016). Monte Carlo Performance Studies of Candidate Sites for the Cherenkov Telescope Array. Proceedings of Science, ICRC2015: 713. Retrieved from http://arxiv.org/abs/1508.06042.

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Maier, G., Author
Arrabito, L., Author
Bernlöhr, Konrad1, Author           
Bregeon, J., Author
Di Pierro, F., Author
Hassan, T., Author
Jogler, T., Author
Hinton, J.1, Author           
Moralejo, A., Author
Wood, M., Author
Consortium, for the CTA, Author
Affiliations:
1Division Prof. Dr. James A. Hinton, MPI for Nuclear Physics, Max Planck Society, ou_2074298              

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Free keywords: Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM, Astrophysics, High Energy Astrophysical Phenomena, astro-ph.HE
 MPINP: CTA - Abteilung Hofmann
 Abstract: The Cherenkov Telescope Array (CTA) is the next-generation gamma-ray observatory with sensitivity in the energy range from 20 GeV to beyond 300 TeV. CTA is proposed to consist of two arrays of 40-100 imaging atmospheric Cherenkov telescopes, with one site located in each of the Northern and Southern Hemispheres. The evaluation process for the candidate sites for CTA is supported by detailed Monte Carlo simulations, which take different attributes like site altitude and geomagnetic field configuration into account. In this contribution we present the comparison of the sensitivity and performance of the different CTA site candidates for the measurement of very-high energy gamma rays.

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 Dates: 2016
 Publication Status: Published online
 Pages: In Proceedings of the 34th International Cosmic Ray Conference (ICRC2015), The Hague, The Netherlands. All CTA contributions at arXiv:1508.05894
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 Rev. Type: -
 Identifiers: arXiv: 1508.06042
URI: http://arxiv.org/abs/1508.06042
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Title: Proceedings of Science
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Source Genre: Journal
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Pages: - Volume / Issue: ICRC2015 Sequence Number: 713 Start / End Page: - Identifier: ISSN: 1824-8039
CoNE: https://pure.mpg.de/cone/journals/resource/1000000000018850_1