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Heidelberg 2022 – scientific programme

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T: Fachverband Teilchenphysik

T 70: Experimental Methods (general) 3

Wednesday, March 23, 2022, 16:15–18:30, T-H29

16:15 T 70.1 Calibration of the b-tagging mis-tag rate for charm jets based on W+c events at √s = 13 TeV with the ATLAS experimentJohannes Erdmann and •Benedikt Gocke
16:30 T 70.2 Convolutional Networks and Deep Learning at the Belle II Experiment — •Johannes Bilk, Sören Lange, Katharina Dort, Stephanie Käs, and Timo Schellhaas
16:45 T 70.3 b-Tagging studies for the ATLAS experiment — •Eleonora Loiacono
17:00 T 70.4 Extrapolation of flavour tagging calibrations to high transverse momentaArnulf Quadt, Elizaveta Shabalina, and •Sreelakshmi Sindhu
17:15 T 70.5 Utilizing muons to tag b-jets in ATLAS — •Frederic Renner, Clara Elisabeth Leitgeb, and Cigdem Issever
17:30 T 70.6 Signal efficiency corrections for boosted Xbb tagger using Zbb events with the ATLAS experiment — •Daariimaa Battulga, Arely Cortes Gonzalez, and Cigdem Issever
17:45 T 70.7 A machine-learning based method to improve isolation variables for photon identification with the ATLAS detectorJohannes Erdmann, Olaf Nackenhorst, and •Michael Windau
18:00 T 70.8 Data-driven corrections to shower shape variables for photon identification at the ATLAS experiment with 13 TeV pp collision data — •Jan Lukas Späh, Björn Wendland, and Johannes Erdmann
18:15 T 70.9 Towards tuning electromagnetic shower properties to data with AtlFast3 — •Joshua Beirer, Michael Duehrssen, and Stan Lai
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