20–25 May 2018
University of Oregon
US/Pacific timezone

Reconstruction and clustering for the CMS High Granularity Calorimeter

25 May 2018, 11:25
20m
Ballroom, Erb Memorial Union (University of Oregon)

Ballroom, Erb Memorial Union

University of Oregon

Eugene, Oregon USA

Speaker

Pedro Vieira De Castro Ferreira Da Silva (CERN)

Description

The existing CMS endcap calorimeters - electromagnetic and hadronic - will be replaced by a sampling calorimeter - the High Granularity Calorimeter (HGCAL) - featuring unprecedented transverse and longitudinal readout and triggering granularity. This will facilitate particle-flow reconstruction in the harsh radiation and pileup environment of HL-LHC collisions. Exploiting the high granularity in this environment requires advances in reconstruction techniques beyond those that have been used in present experiments and particle-flow detectors being designed for future linear colliders. This work will continue throughout the design/construction phase, but many studies have already made excellent progress. We report on the reconstruction and clustering algorithms, and the simulated performance for particle identification and energy/position resolution.

Secondary topics

Simulation and algorithms

Primary topic Particle Flow

Author

Presentation materials