On Building Better Cone Jet Algorithms

Abstract

We discuss recent progress in understanding the issues essential to the development of better cone jet algorithms.

Figures (6)

• Figure 1: Difference of $E_{T}$ for matched jets found with various jet algorithms and compared to the JetClu CDF Run I algorithm. The events studied were generated with HERWIG 6.1 and run through the CDF detector simulation.
• Figure 2: 2-Parton distribution: a) transverse energy distribution; b) distributions F(r) and E$_{C}$(r) in the perturbative limit of no smearing.
• Figure 3: Perturbation Theory Structure: a) $R_{sep}=2$; b) $R_{sep}=1.3$.
• Figure 4: The distributions F(r) and E$_{C}$(r) for smearing width a) 0.1; b) 0.25.
• Figure 5: Result of applying the Midpoint Algorithm to a specific Monte Carlo event in the CDF detector.