SMuK 2023 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 94: DAQ, Exp. Methods
T 94.5: Vortrag
Mittwoch, 22. März 2023, 18:30–18:45, POT/0106
Improving Particle Flow Reconstruction in the CMS HGCAL — •Abhirikshma Nandi1, Wahid Redjeb1,2, Felice Pantaleo2, Marco Rovere2, and Alexander Schmidt1 — 1III. Physikalisches Institut A, RWTH Aachen University, Aachen, Germany — 2CERN, Geneva, Switzerland
The CMS calorimeter endcaps will be completely replaced by the High Granularity Calorimeter (HGCAL) as part of the Phase-2 upgrades. The large number of simultaneous collisions (pile-up) and the novelty of the detector makes physics object reconstruction a challenging task. A new, modular framework, called The Iterative Clustering (TICL), is under development for reconstruction in HGCAL. Its granularity and the capability to obtain 5D (x,y,z,t,E) measurements, make HGCAL an ideal candidate for particle flow reconstruction - where information from different parts of the detector are matched to improve the global event description. Moreover, accumulating separate objects reconstructed inside the calorimeter, from the secondary components of a particle shower, is also necessary. This talk discusses a linking algorithm that was introduced in TICL as a first attempt to solve these problems. A complementary approach of learning functions on a graph of clustered energy deposits and detecting communities in it, will also be presented.