Published October 11, 2004 | Version v1
Report Metadata-only

Calorimeter Optimization for Jet Identification

Creators

Description

During LCWS 1999 at Sitges, Spain, we presented a set of discriminators for reconstructing jets in high energy lepton colliders. We have extended that study by adding new event types, by adding new discriminators, and by using a neural net rather than cuts to identify jets. We apply these techniques to detector simulations to begin a study of calorimeter optimization

Availability note (English)

Available from PURL: https://www.osti.gov/servlets/purl/839950-R0XteP/native/

Additional details

Identifiers

URL
https://www.osti.gov/servlets/purl/839950-R0XteP/native/;

Publishing Information

Imprint Pagination
4 p.
Report number
SLAC-PUB--10795

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
36103211
Subject category
S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Resource subtype / Literary indicator
Non-conventional Literature
Descriptors DEI
DISCRIMINATORS; JET MODEL; LEPTONS; OPTIMIZATION; PARTICLE IDENTIFICATION; SHOWER COUNTERS
Descriptors DEC
ELECTRONIC CIRCUITS; ELEMENTARY PARTICLES; FERMIONS; MATHEMATICAL MODELS; MEASURING INSTRUMENTS; PARTICLE MODELS; RADIATION DETECTORS

Optional Information

Contract/Grant/Project number
AC--02-76SF00515
Funding organization
USDOE Office of Science (United States)