Published August 22, 2015 | Version v1
Report

VariableR reclustering in multiple top quark events - Oral Presentation

  • 1. SLAC National Accelerator Lab., Menlo Park, CA (United States)

Description

VariableR jet reclustering is an innovative technique that allows for the reconstruction of boosted object over a wide range of kinematic regimes. Such capability enables the efficient identification of events with multiple boosted top quarks which is a typical signature for new physics processes such as the production of the supersymmetric partner of the gluon. In order to evaluate the performance of the algorithm, the VariableR reclustered jets are compared with fixed radius reclustered jets. The flexibility of the algorithm is tested by reconstructing both boosted top quarks and boosted W bosons. The VariableR reclustering method is found to be more efficient than the fixed radius algorithm at identifying top quarks and W bosons in events with four top quarks, therefore enhancing the sensitivity for gluino searches.

Availability note (English)

Available from http://www.slac.stanford.edu/cgi-wrap/getdoc/slac-wp-111.pdf; PURL: http://www.osti.gov/servlets/purl/1213193/

Additional details

Publishing Information

Imprint Pagination
19 p.
Report number
SLAC-WP--111

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
46131855
Subject category
S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Resource subtype / Literary indicator
Non-conventional Literature
Descriptors DEI
ALGORITHMS; COMPARATIVE EVALUATIONS; GLUONS; JETS; PARTICLE IDENTIFICATION; PARTICLE PRODUCTION; PERFORMANCE; SENSITIVITY; SUPERSYMMETRY; T QUARKS; W MINUS BOSONS; W PLUS BOSONS
Descriptors DEC
BOSONS; ELEMENTARY PARTICLES; EVALUATION; FERMIONS; INTERMEDIATE BOSONS; INTERMEDIATE VECTOR BOSONS; MATHEMATICAL LOGIC; POSTULATED PARTICLES; QUARKS; SYMMETRY; TOP PARTICLES

Optional Information

Contract/Grant/Project number
AC02-76SF00515
Funding organization
USDOE Office of Science (United States)
Secondary number(s)
OSTIID--1213193