Code development for a new generation pixel detectors
Basic knowledge of C and/or C++ languages is required.
For both master and bachelor thesis projects.
The theses proposed on this topic are aimed to the development of an online and offline reconstruction algorithm for the silicon pixel detector which is assumed to operate
in the ALICE (A Large Ion Collider Experiment) experiment at the Large Hadron Collider (LHC) from European Center for Nuclear Research (CERN) after the LHC Upgrade planned in 2019.
The challenging part 
of the project is to develop a code able to handle a big data flux and to give a fast output. To this aim a parallel computing approach will be adopted
taking into account all the features of the modern computing resources that are not fully exploited, at the present state of the art, like the Graphics Processing Unit (GPU).
There will also be the possibility to spend part of the time devoted to the thesis work at the CERN working in close contact with the major expert of the field in the world.
The thesis themes proposed are the following ones:
- Development and optimization of algorithms used to determine the collision point of the colliding lead ions with a silicon pixel detector at the LHC.
- Software development on GPUs for pattern recognition in silicon pixel detector at the LHC.
For further information please contact: michelangelo.agnello@polito.it; stefania.bufalino@polito.it massimo.masera@cern.ch
