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10-15 March 2019
Steinmatte conference center
Europe/Zurich timezone

Energy reconstruction of the ATLAS Tile Calorimeter under high pile-up conditions using the Wiener filter

12 Mar 2019, 18:20
20m
Steinmatte Room A

Steinmatte Room A

Oral Track 2: Data Analysis - Algorithms and Tools Track 2: Data Analysis - Algorithms and Tools

Speaker

Dayane Gonçalves (Universidade Federal de Juiz de Fora)

Description

The ATLAS experiment records data from the proton-proton collisions produced by the Large Hadron Collider (LHC). The Tile Calorimeter is the hadronic sampling calorimeter of ATLAS in the region |η| < 1.7. It uses iron absorbers and scintillators as active material. Jointly with the other calorimeters it is designed for reconstruction of hadrons, jets, tau-particles and missing transverse energy. It also assists in muon identification. The energy deposited by the particles in the Tile Calorimeter is read out by approximately 10,000 channels. The signal provided by the readout electronics for each channel is digitized at 40 MHz and its amplitude is estimated by an optimal filtering algorithm. The increase of LHC luminosity leads to signal pile-up that deforms the signal of interest and compromises the amplitude estimation performance. This work presents the proposed algorithm for energy estimation in the Tile Calorimeter under high pile-up conditions during LHC Run 3, named Wiener Filter. The performance of the proposed method is studied under various pile-up conditions and compared with current optimal filtering method using proton-proton collision data and Monte Carlo.

Primary authors

ATLAS TileCal Speakers Committee Dayane Gonçalves (Universidade Federal de Juiz de Fora)

Presentation materials

Peer reviewing

Paper