Proceedings of the 34th International Cosmic Ray Conference — PoS(ICRC2015) 2016
DOI: 10.22323/1.236.0951
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ROBAST: Development of a Non-sequential Ray-tracing Simulation Library and its Applications in the Cherenkov Telescope Array

Abstract: We have developed a non-sequential ray-tracing simulation library, ROot-BAsed Simulator for ray Tracing (ROBAST), which is aimed for wide use in optical simulations of cosmicray (CR) and gamma-ray telescopes. The library is written in C++ and fully utilizes the geometry library of the ROOT analysis framework. Despite the importance of optics simulations in CR experiments, no open-source software for ray-tracing simulations that can be widely used existed. To reduce the unnecessary effort demanded when differen… Show more

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Cited by 2 publications
(2 citation statements)
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“…The PSF, which can be decomposed into two Gaussian functions, can be reproduced by light diffusion on both the M1 and M2 mirrors in a Gaussian distribution with standard deviation σ of 4.3 arc minutes. As proved with ROBAST simulations [9], and in agreement with theoretical…”
Section: Prototype Mirrors From 2014supporting
confidence: 88%
“…The PSF, which can be decomposed into two Gaussian functions, can be reproduced by light diffusion on both the M1 and M2 mirrors in a Gaussian distribution with standard deviation σ of 4.3 arc minutes. As proved with ROBAST simulations [9], and in agreement with theoretical…”
Section: Prototype Mirrors From 2014supporting
confidence: 88%
“…Each concentrator should ideally accept all light coming from the telescope mirror, and reject light from the ground or other objects located adjacent to the mirror surface. The light concentrators were optimized for an acceptance angle of ~30 o using the ROBAST simulation program developed for simulating IACT light concentrators [5]. The maximum acceptance angle of the SiPM devices was measured in the laboratory at six separate wavelengths between 309 and 598 nm for both S and P polarization orientations (Fig.…”
Section: Sipm Module Design Approachmentioning
confidence: 99%