Münster 2017 – wissenschaftliches Programm
T 115.4: Vortrag
Donnerstag, 30. März 2017, 17:50–18:05, F 234
The CMS High-Granularity Endcap Calorimeter: Test Beam and Sensor Tests at CERN — Martin Erdmann1, •Thorben Quast1,2, and Eva Sicking2 — 1Physics Institute IIIA, RWTH Aachen, Germany — 2CERN, Geneva, Switzerland
Fine-grained calorimetry has been explored for future e+e- experiments at ILC and CLIC for several years. CMS is developing high-granularity endcap calorimeters (HGCAL) for its HL-LHC upgrade. After a quick overview to the CMS HGCAL project, the talk summarises results from silicon sensor testing and test beam experiments carried out at CERN in 2016. In this context, an energy reconstruction approach based on convolutional deep neural networks is presented to assess the image-like character of the recorded data. Its application for the HGCAL is evaluated and compared to standard energy reconstruction algorithms.