Identification of High-Momentum Top Quarks, Higgs Bosons, and W and Z Bosons Using Boosted Event Shapes

TL;DR

This paper introduces a novel method utilizing event shapes in Lorentz-boosted frames combined with neural networks to identify high-momentum particles like top quarks, Higgs bosons, and W/Z bosons at the LHC.

Contribution

It proposes a new approach for boosted particle identification using event shape variables and neural networks, improving discrimination over traditional techniques.

Findings

Enhanced identification efficiency for boosted particles.

Effective background rejection from multihadronic jets.

Potential to improve sensitivity in particle searches.

Abstract

At the Large Hadron Collider, numerous physics processes expected within the standard model and theories beyond it give rise to very high momentum particles decaying to multihadronic final states. Development of algorithms for efficient identification of such "boosted" particles while rejecting the background from multihadron jets from light quarks and gluons can greatly aid in the sensitivity of measurements and new particle searches. This paper presents a new method for identifying boosted high-mass particles using event shapes in Lorentz-boosted reference frames. Variables calculated in these frames for multihadronic jets can then be used as input to a large artificial neural network to discriminate their origin.