Münster 2017 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 116: Detektorsysteme 4

T 116.2: Vortrag

Donnerstag, 30. März 2017, 17:05–17:20, VSH 17

Jet reconstruction and performance using a Particle Flow algorithm in ATLAS — Ian Brock, Irina Cioara, Maike Hansen, •Regina Moles-Valls, and Rui Zhang — University of Bonn

Jets are a key ingredient in many ATLAS physics analyses. Therefore, a good jet reconstruction and calibration is essential to improve the measurements of the properties of the known particles, as well as to facilitate the search of new particles.

During the Run 1 of the LHC, the ATLAS analyses used jets built only from topological clusters of calorimeter cells (topo-cluters) or only from tracks. The particle flow algorithm introduces a new approach by combining tracking and calorimeter information. This algorithm replaces the calorimeter topo-clusters associated to charged hadrons by their momenta measured in the inner detector.

The performance of particle flow jets compared with those jets reconstructed from calorimeter energy deposits alone, shows improvements in the transverse momentum and angular resolution, as well as a reduction of the pile-up contribution. The particle flow algorithm is one of the jet collections in ATLAS for the LHC Run 2 analyses.