Pre-Learning: CMS Physics Objects: Glossary

Key Points

General Physics Objects and POET
  • Physics objects are the final abstraction in the detector that can be associated to physical entities like particles.

  • POET is a collection of CMSSW EDAnalyzers meant to teach how to access physics objects information.

Electrons
  • Quantities such as impact parameters and charge have common member functions.

  • Physics objects in CMS are reconstructed from detector signals and are never 100% certain!

  • Identification and isolation algorithms are important for reducing fake objects.

  • One can add additional informtion to the EDAnalyzer

Muons
  • Track access may differ, but track-related member functions are common across objects.

  • Physics objects in CMS are reconstructed from detector signals and are never 100% certain!

  • Muons typically use pre-configured identification and isolation variable member functions.

  • Sometime it is necessary to be able to understand the code to add new variables

Jets and MET
  • Jets are spatially-grouped collections of particles that traversed the CMS detector

  • Particles from additional proton-proton collisions (pileup) must be removed from jets

  • Missing transverse energy is the negative vector sum of particle candidates

  • Many of the class methods discussed for other objects can be used for jets

Extra reading: Heavy flavor tagging
  • Tagging algorithms separate heavy flavor jets from jets produced by the hadronization of light quarks and gluons

  • Tagging algorithms produce a disriminator value for each jet that represents the likelihood that the jet came from a b hadron

  • Each tagging algorithm has recommended ‘working points’ (discriminator values) based on a misidentification probability for light-flavor jets

Extra reading: Jet corrections
  • Jet energy corrections are factorized and account for many mismeasurement effects

  • L1+L2+L3 should be applied to jets used for analyses, with residual corrections for data

  • Jet energy resolution in simulation is typically too narrow and is smeared using scale factors

  • Jet energy and resolution corrections are sources of systematic error and uncertainties should be evaluated

  • In general, the jet corrections are significant and lower the momenta of the jets with standard LHC pileup conditions.

  • For most jets, the JEC uncertainty dominates over the JER uncertainty.

  • In the endcap region of the detector, the JER uncertainty in larger and matches the JEC uncertainty.

Glossary

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