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T: Fachverband Teilchenphysik

T 64: Kalorimeter 2

T 64.4: Vortrag

Mittwoch, 11. März 2015, 17:30–17:45, G.10.03 (HS 8)

Optimization of the track-cluster matching procedure for the particle flow algorithm in ATLAS — Ian C. Brock and •Irina Cioară — Physikalisches Institut, University of Bonn

Particle flow algorithms aim to combine information from all the components of a detector in order to have the best possible measurement of the particles that interact with it. The most significant improvements are expected for jet reconstruction and the measurement of missing transverse momentum.

In ATLAS, especially at low energies, a better performance compared to the default methods has been observed in jet resolution when the particle flow algorithm is included in the event reconstruction.

A simplified description of the ATLAS particle flow algorithm consists of: matching each track to an energy deposit in the calorimeter, checking if the ratio between the energy of the cluster and momentum of the track is consistent and if yes, replacing the cluster energy with the tracking measurement. A further algorithm that covers cases where the particle creates more than one cluster is also applied.

In order to further improve its performance, studies are ongoing for optimizing every step of the algorithm. This contribution presents the work invested in the optimization of the track-cluster matching procedure.