| |
 |
| Paper: |
Application of High Performance Computing and Vectorisation Solutions to Data Analysis for Imaging Atmospheric Cherenkov Telescopes |
| Volume: |
521, Astronomical Data Analysis Software and Systems XXVI |
| Page: |
632 |
| Authors: |
Vuillaume, T.; Aubert, P.; Jacquemier, J.; Maurin, G.; Lamanna, G. |
| Abstract: |
Imaging Atmospheric Cherenkov Telescopes (IACT) detect cosmic gamma-rays by studying the electromagnetic showers they create entering the atmosphere. IACT systems rely on the stereoscopic reconstruction of these showers in order to obtain the direction and energy of the incoming gamma rays. In current experiments, such as H.E.S.S., MAGIC and VERITAS, different reconstruction methods and algorithms are applied. These algorithms were the first of their kind and have been developed to face humanly manageable data volumes.
The next generation of gam-ray observatory operating IACT (e.g. The Cherenkov Telescope Array - CTA) will have much greater performances. The improvement of sensitivity with respect to the current instruments will generate an unprecedented data-flow imposing severe constraints in terms of data reduction and analysis. This will demand to investigate faster and more scalable algorithms.
This work describes some high performance computing (HPC) and vectorisation solutions, developed and introduced for the first time in IACT's field.
They are applicable to the data calibration and to Hillas reconstruction as a first step to more sophisticated reconstruction algorithms. They have been developed in the framework of the ASTERICS-H2020 project and as such are available as an open-source software package to the Astronomy, Astrophysics ad Astroparticle Physics scientific community. |
|
|
|
|
|
