SMuK 2023 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 54: Flavor IV

T 54.4: Vortrag

Mittwoch, 22. März 2023, 16:35–16:50, HSZ/0304

Automation of the Flavor tagging calibration software in the ATLAS experiment — •Marawan Barakat for the ATLAS collaboration — Platanenallee 6, 15738 Zeuthen

Particle cascades originating from quarks and gluons decays (jets) are omnipresent in proton-proton collisions at the LHC. The identification of jet flavors is essential for many physics searches at the ATLAS experiment. This is achieved using machine learning algorithms (taggers) trained with simulated Monte Carlo events. Due to simulations imperfections, the taggers performance need to be measured in data in order to extract correction factors for the simulation predictions. ATLAS is using a set of calibration software for different jets flavors, which are complicated to use, specially for non-experts. In order to make the software easier, more flexible and more time efficient, automation workflows are defined. This study shows the framework used to automate the calibration of the flavor tagging software using REANA platform. The results are compared to the official results from ATLAS calibration with 139 fb^-1 of 13 TeV collisions data from ATLAS. Same technique can be extended to RUN III of ATLAS and other analyses beyond Flavor Tagging.