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SUMMARY:Transforming jet flavour tagging at the ATLAS and CMS experiments
DTSTART:20260630T140000Z
DTEND:20260630T150000Z
DTSTAMP:20260719T024000Z
UID:indico-event-965@indico.physik.uni-siegen.de
CONTACT:biswas@hep.physik.uni-siegen.de
DESCRIPTION:Speakers: Philipp Gadow (Universität Hamburg)\n\n\n\nThe disc
 overy of the Higgs boson in 2012 at the Large Hadron Collider (LHC) by the
  ATLAS and CMS experiments opened the door to investigating the least unde
 rstood part of the Standard Model of particle physics. The unprecedented R
 un 3 dataset taken between 2022 and 2026 provides a unique opportunity to 
 probe the structure of the Higgs potential. The most probable decay mode o
 f Higgs bosons is into a pair of b-quarks\, which hadronise into collimate
 d sprays of particles ("jets"). Distinguishing jets initiated by b-quarks 
 from all other jets ("flavour tagging") is therefore of greatest importanc
 e.\nMy talk will discuss the state-of-the-art flavour tagging algorithms o
 f the ATLAS and CMS collaborations. Both rely on the transformer architect
 ure\, exploiting measurements in the tracking detector to classify jets ba
 sed on the flavour of quarks that initiated them. The new generation of al
 gorithms starkly contrasts with the previous\, more simplistic methods and
  surpasses their background rejection by a factor of more than four\, equi
 valent to the improvement of the previous two generations of models.\nThes
 e gains are not limited to simulation but also carry over to real LHC data
 \, where we see robust modelling in collision events. First studies show t
 hat model performance will keep scaling with growing training datasets. Th
 e same architecture is general enough to serve many other tasks\, such as 
 signal extraction or lepton isolation\, which separates leptons coming dir
 ectly from W/Z or Higgs boson decays from those produced inside jets. With
  a single model taking over the work of many specialised tools\, the field
  is moving towards what looks like a foundation model for the detector. Th
 ese transformer-based flavour tagging algorithms have already become commo
 n infrastructure for LHC physics\, directly improving the reach of searche
 s that probe the Higgs potential.\n\n\n\nhttps://indico.physik.uni-siegen.
 de/event/965/
LOCATION:ENC-D308
URL:https://indico.physik.uni-siegen.de/event/965/
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