Jets, R-paramater (resolution)

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SUMMARY

The R-parameter in jet finding algorithms, particularly in FastJet, is crucial for defining the size of the jet cone in (pseudo)rapidity-azimuth space, calculated as R² = Δη² + Δφ². This parameter directly influences the physics of jet analysis, affecting how jets are reconstructed and interpreted in high-energy physics experiments. For instance, using FastJet with the KT algorithm and an R-parameter of 0.5 determines the clustering behavior of particles into jets, impacting the results of particle collision analyses at facilities like the Tevatron.

PREREQUISITES
  • Understanding of jet finding algorithms
  • Familiarity with FastJet library
  • Knowledge of (pseudo)rapidity and azimuthal angles
  • Basic concepts of particle physics and collider experiments
NEXT STEPS
  • Research the FastJet library documentation for detailed usage of the R-parameter
  • Study the Sterman-Weinberg cone jet formalism for theoretical insights
  • Explore different jet algorithms available in FastJet, such as KT and anti-KT
  • Examine case studies of jet analysis at the Tevatron and LHC
USEFUL FOR

Particle physicists, researchers in high-energy physics, and students interested in jet analysis and algorithms in collider experiments.

malawi_glenn
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Hello,

I was wondering about this R-parameter that we have in Jet finding algorithms, what is it? How does it change the "physics" when we do jet findings in analysis?

Any good introductory material would be really great if I could acquire it :-)
 
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I'm not sure, but if you're talking about cone jets (at the Tevatron, for example):

[tex]R^2 = \Delta\eta^2+\Delta\phi^2[/tex]

which is the size of the cone in (pseudo)rapidity-asimuth space (roughly the analog of [itex]\delta[/itex] in Sterman-Weinberg cone jets).
 
I am talking about jet algorithms in packages such as FastJet, where "rparamter" is an input.

e.g. this is a concrete example:

FastJets(Final state ,Algorithm = FastJets::KT, rparamter = 0.5)
 

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