Published July 1, 2008 | Version v1
Report Metadata-only

Tools for top physics at CDF

Creators

Description

The authors describe here the different tools used for top physics analysis in the CDF Collaboration. In particular, they discuss how the jet energy scale, lepton identification, b tagging algorithms and the neural networks help to improve the signal to background ratio of the top sample in some cases and to reduce the dominant uncertainties in other. Results using each one of these tools are also presented

Availability note (English)

Available from http://lss.fnal.gov/cgi-bin/find_paper.pl?conf-08-227.pdf; PURL: https://www.osti.gov/servlets/purl/937233-31Fb6T/

Additional details

Identifiers

URL
http://lss.fnal.gov/cgi-bin/find_paper.pl?conf-08-227.pdf; https://www.osti.gov/servlets/purl/937233-31Fb6T/;

Publishing Information

Imprint Pagination
9 p.
Report number
FERMILAB-CONF--08-227-E

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
39107477
Subject category
S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Resource subtype / Literary indicator
Non-conventional Literature
Descriptors DEI
ALGORITHMS; FERMILAB COLLIDER DETECTOR; LEPTONS; NEURAL NETWORKS; PARTICLE IDENTIFICATION
Descriptors DEC
ELEMENTARY PARTICLES; FERMIONS; MATHEMATICAL LOGIC; MEASURING INSTRUMENTS; RADIATION DETECTORS

Optional Information

Contract/Grant/Project number
AC02-76CH03000
Funding organization
US Department of Energy (United States)