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
Identifiers
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