Published November 21, 2004
| Version v1
Journal article
A Gaussian-sum filter for vertex reconstruction
Creators
- 1. Institute for High-Energy Physics, Austrian Academy of Sciences, Vienna (Austria)
- 2. Physik-Institut der Universitaet Zuerich, Winterthurerstrasse 190, Zurich 8057 (Switzerland)
Description
A vertex reconstruction algorithm was developed based on the Gaussian-sum filter and implemented in the framework of the CMS reconstruction program. While linear least-squares estimators are optimal in case all observation errors are Gaussian-distributed, a GSF offers a better treatment of non-Gaussian distributions of track parameter errors when these are modeled by Gaussian mixtures. Results are compared to the Kalman filter
Additional details
Identifiers
- DOI
- 10.1016/j.nima.2004.07.090;
- PII
- S0168-9002(04)01531-1;
Publishing Information
- Journal Title
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Journal Volume
- 534
- Journal Issue
- 1-2
- Journal Page Range
- p. 217-221
- ISSN
- 0168-9002
- CODEN
- NIMAER
Conference
- Title
- 9. international workshop on advanced computing and analysis techniques in physics research
- Dates
- 1-5 Dec 2003
- Place
- Tsukuba (Japan)
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 37028901
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ALGORITHMS; DATA PROCESSING; ERRORS; GAUSS FUNCTION; INFORMATION THEORY; LEAST SQUARE FIT; MARKOV PROCESS; NOISE
- Descriptors DEC
- FUNCTIONS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; PROCESSING; STOCHASTIC PROCESSES
Optional Information
- Copyright
- Copyright (c) 2004 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.