Published 1988 | Version v1
Report Open

Robust estimation of track parameters in wire chambers

Creators

  • 1. Joint Inst. for Nuclear Research, Dubna (USSR). Lab. of Computing Techniques and Automation
  • 2. Bylgarska Akademiya na Naukite, Sofia (Bulgaria). Inst. za Yadrena Izsledvaniya i Yadrena Energetika

Description

The aim of this paper is to compare numerically the possibilities of the least square fit (LSF) and robust methods for modelled and real track data to determine the linear regression parameters of charged particles in wire chambers. It is shown, that Tukey robust estimate is superior to more standard (versions of LSF) methods. The efficiency of the method is illustrated by tables and figures for some important physical characteristics

Availability note (English)

MF available from INIS under the Report Number.

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Additional details

Publishing Information

Imprint Pagination
7 p.
Report number
JINR-E--10-88-277

INIS

Country of Publication
USSR
Country of Input or Organization
USSR
INIS RN
20035039
Subject category
S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
Descriptors DEI
CHARGED PARTICLES; LEAST SQUARE FIT; MONTE CARLO METHOD; MULTIWIRE PROPORTIONAL CHAMBER; PARTICLE TRACKS; REGRESSION ANALYSIS
Descriptors DEC
MATHEMATICS; MAXIMUM-LIKELIHOOD FIT; MEASURING INSTRUMENTS; NUMERICAL SOLUTION; PROPORTIONAL COUNTERS; RADIATION DETECTORS; STATISTICS

Optional Information

Notes
7 refs.; 4 figs.; 2 tabs.