Optimization of Silicon-Pad Electromagnetic Calorimeters and Its Medical Application
Kevin Sheng-Kai Ma1*, Arnaud Steen1,2, Andreas Psallidas1,2, Stathes Paganis1
1Department of Physics, National Taiwan University, Taipei, Taiwan
2Compact Muon Solenoid, European Organization for Nuclear Research, Geneva, Switzerland
* Presenter:Kevin Sheng-Kai Ma, email:kevinmamdphd@gmail.com
A silicon-based fine granularity calorimeter is a potential technology for the future International Linear Collider ILC, the future circular collider CEPC, and is also the chosen technology for the upgraded CMS experiment of the Large Hadron Collider. Moreover, similar layout has now been applied to medical detectors. The novelty of this detector include its capability of producing 3D imaging of the electromagnetic and hadronic showers thus allowing for optimum reconstruction. Also, silicon detectors provide higher efficiency and resolution than scintillation detectors.

In this work, the sampling fraction method, a method based on the calorimeter sampling fraction that exploits the per-event measured shower depth, is introduced to calibrate the energy measured in the detector. Based on simulated samples with the Geant4 package, the energy of each event is reconstructed by considering the proportion of the energies stored in the active and passive materials. It is shown that compared to the commonly used dEdx method, the sampling fraction method deliver superior absolute energy scale, linearity and resolution. The method is currently tested in test beam studies as well as recently built prototypes, and has given preliminary results of energy and spatial information.


Keywords: Compact Muon Solenoid, High Granularity Calorimeter, Silicon-pad detectors, Sampling calorimeter, Sampling fraction method