Mr. Shah Rukh Qasim, a student of BEE-6 has been selected as a technical student to work at CERN
15th December, 2017
Every year, CERN selects 30-35 people from member states of CERN to work as technical student at CERN. The program lasts from minimum of 4 months to maximum of 12 months. This year, Shah Rukh Qasim, a student of BEE-6 has been selected as a technical student to work at CERN for a period of 1 year.
Shah Rukh Qasim is going to work on deep learning on data from CMS Simulator. The CMS is one of general purpose detectors on the Large Hedron Collider (LHC),
Given its regular geometry, HGCAL will be the first calorimeter arranged as a regular 3D array of sensors. The high granularity of the detector and the large rate of particles expected represent a big challenge for traditional reconstruction methods. The big progresses in deep learning applications for image labeling offer an interesting alternative approach for particle identification and energy measurement. The student will work on developing energy regression and particle identifications for electrons, photons and hadrons, using GEANT4 simulation of the HGCAL detector for training and validation. The student will also work to adapt these studies in context of CMS fast simulation of showers in the HGCal based on deep neural networks.