Bonn 2020 – wissenschaftliches Programm
Die DPG-Frühjahrstagung in Bonn musste abgesagt werden! Lesen Sie mehr ...
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
T: Fachverband Teilchenphysik
T 95: Experimental methods V
T 95.7: Vortrag
Freitag, 3. April 2020, 12:30–12:45, H-HS VI
Implementation of a new b-tagging algorithm for ATLAS — Vadim Kostyukhin1, •Ö. Oğul Öncel2, and Markus Cristinziani2 — 1Universität Bonn — 2now at Sheffield University
Correctly identifying b-quark initiated jets (b-tagging) at large transverse momentum (pT > 1 TeV) will become increasingly important as ATLAS accumulates more data. Currently used b-tagging algorithms distinguish b-jets against light-jets. This approach is effective for low- and medium-pT jets, but results in performance degradation at high pT, where fragmentation dominates.
Instead of distinguishing two sets of tracks, the b-tagging performance can be improved by introducing explicitly the most important track categories and classifying tracks before the b-tagging step itself. A newly developed b-tagging algorithm in ATLAS uses classified tracks in a jet and based on this information creates a b-tagging score. Classification of tracks is accomplished through a multi-class multivariate discriminator that classifies tracks into one of the following three categories: heavy flavour, fragmentation or hadronic interactions and pile-up. It is found to be enhancing the b-tagging performance, particularly in the high-pT regime, in comparison to currently used b-taggers. The implementation will be described and comparative performance studies will be presented.