Jul 6 – 13, 2022
Bologna, Italy
Europe/Rome timezone

Two New Developments on the Statistical Treatment of Flavour Tagging Uncertainties in ATLAS

Jul 8, 2022, 7:05 PM
1h 25m
Bologna, Italy

Bologna, Italy

Palazzo della Cultura e dei Congressi
Poster Operation, Performance and Upgrade (Incl. HL-LHC) of Present Detectors Poster Session


ilaria luise (Stony Brook University, NY)


The identification of jets containing b-hadrons, b-tagging, is critical for many ATLAS physics analyses. Its performance is measured in data and the simulation is corrected through simulation-to-data scale factors. However, such measurement only covers a certain jet pT range, so the b-tagging performance at higher pT must be evaluated via a simulation-based extrapolation method. This work considers a widely used scheme, the "pseudo-continuous" working points, which constitutes a flexible way to apply a set of different b-tagging requirements within the same ATLAS physics analysis. A brief introduction is given to this scheme and the corresponding simulation-based extrapolation to high pT jets is presented for the first time. In addition, a new statistical tool, denoted as "eigenvector recomposition", is developed to allow for the correct combination of analyses relying on different b-tagging setups. It correlates common systematic uncertainties related with b-tagging in a mathematically solid way. Its application in the combination of the "boosted" and "resolved" VH(H->bb) analyses is shown as an example.

In-person participation Yes

Primary authors

ilaria luise (Stony Brook University, NY) Yan Ke (Stony Brook University, NY) Giacinto Piacquadio (Stony Brook University, NY) Quentin Buat (Washington University)

Presentation materials