Detector Seminar

The High Granularity Calorimeter upgrade project for CMS

by David Barney (CERN)

Europe/Zurich
40-S2-D01 - Salle Dirac (CERN)

40-S2-D01 - Salle Dirac

CERN

92
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Description

Calorimetry in high-energy physics is rapidly evolving, with new specifications (e.g. higher energies, enormous particle densities) and a wide variety of technologies being employed, both for signal creation and detection. Advances in large-area highly-segmented detectors based on, for example, silicon and scintillators, are providing possibilities for high-granularity calorimetry, providing unprecedented levels of information from particle showers. This talk focuses on one example of high-granularity calorimetry: The CMS HGCAL, being designed to replace the existing endcap calorimeters for the HL-LHC era. It is a sampling calorimeter, featuring unprecedented transverse and longitudinal readout segmentation for both electromagnetic (CE-E) and hadronic (CE-H) compartments. This will facilitate particle-flow calorimetry, where the fine structure of showers can be measured and used to enhance pileup rejection and particle identification, whilst still achieving good energy resolution. The CE-E and a large fraction of CE-H will use silicon as active detector material: the sensors will be of hexagonal shape, maximizing the available 8-inch circular wafer area. The lower-radiation environment will be instrumented with scintillator tiles with on-tile SiPM readout. This concept borrows heavily from designs produced by the CALICE collaboration - calorimetry for CLIC and ILC etc. - but the challenges of such a detector at a hadron collider are considerably larger than at the ILC. In addition to the hardware aspects, the reconstruction of signals - both online for triggering and offline - is a quantum leap from existing detectors. We present the reasoning and ideas behind the HGCAL, its current status including design and expected performance, and the challenges ahead.

Organized by

Burkhard Schmidt (EP-DT)

Videoconference Rooms
Detector_Seminar
Name
Detector_Seminar
Description
EP Detector Seminar
Extension
10317211
Owner
Dominik Dannheim
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