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Related Experiment Video

Updated: May 21, 2026

Tree Core Analysis with X-ray Computed Tomography
06:56

Tree Core Analysis with X-ray Computed Tomography

Published on: September 22, 2023

Nondeterministic approach to tree-based jet substructure.

Stephen D Ellis1, Andrew Hornig, Tuhin S Roy

  • 1Department of Physics, University of Washington, Seattle, Washington 98195, USA. sdellis@u.washington.edu

Physical Review Letters
|June 12, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for analyzing jet substructure by considering multiple jet trees per event. This approach enhances statistical stability and improves signal discrimination, potentially halving the required luminosity for new particle discovery.

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Area of Science:

  • High Energy Physics
  • Particle Physics
  • Collider Physics

Background:

  • Jet substructure analysis is crucial for understanding particle collisions at colliders.
  • Traditional methods use clustering algorithms (e.g., k(T)) to create single jet trees.

Purpose of the Study:

  • To develop a more statistically stable and discriminative method for jet substructure analysis.
  • To improve the sensitivity of searches for new particles and phenomena.

Main Methods:

  • Instead of a single tree, consider multiple weighted jet trees per jet.
  • Analyze the distribution of observables derived from these multiple trees.
  • Introduce new observables, such as the variance of the distribution.

Main Results:

  • Observables exhibit significantly increased statistical stability.
  • Reduced fluctuations in pruned mass distributions, aiding new particle discovery.
  • Distinguishing between background (QCD) and signal (e.g., boosted W) jets using distribution width.

Conclusions:

  • The multi-tree approach enhances statistical stability and discrimination power.
  • New observables like distribution variance offer powerful handles for signal/background separation.
  • This method can reduce the integrated luminosity required for discoveries by up to a factor of 2.