Experimental investigation of statistical models describing distribution of counts

I. Salma, É Zemplén-Papp

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The binomial, Poisson and modified Poisson models which are used for describing the statistical nature of the distribution of counts are compared theoretically, and conclusions for application are considered. The validity of the Poisson and the modified Poisson statistical distribution for observing k events in a short time interval is investigated experimentally for various measuring times. The experiments to measure the influence of the significant radioactive decay were performed with 189Ym89Ym(T 1 2 = 16.06 s), using a multichannel analyser (4096 channels) in the multiscaling mode. According to the results, Poisson statistics describe the counting experiment for short measuring times (up to T = 0.5T 1 2) and its application is recommended. However, analysis of the data demonstrated, with confidence, that for long measurements (T ≥ T 1 2) Poisson distribution is not valid and the modified Poisson function is preferable. The practical implications in calculating uncertainties and in optimizing the measuring time are discussed. Differences between the standard deviations evaluated on the basis of the Poisson and binomial models are especially significant for experiments with long measuring time (T/T 1 2 ≥ 2) and/or large detection efficiency (ε > 0.30). Optimization of the measuring time for paired observations yields the same solution for either the binomial or the Poisson distribution.

Original languageEnglish
Pages (from-to)591-597
Number of pages7
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volume312
Issue number3
DOIs
Publication statusPublished - Feb 15 1992

Fingerprint

Poisson distribution
Experiments
Statistics
radioactive decay
statistical distributions
Statistical Models
confidence
standard deviation
counting
statistics
intervals
optimization
Uncertainty

ASJC Scopus subject areas

  • Instrumentation
  • Nuclear and High Energy Physics

Cite this

@article{f2fb7fbf93c64247b33a75dc8c9ae8e3,
title = "Experimental investigation of statistical models describing distribution of counts",
abstract = "The binomial, Poisson and modified Poisson models which are used for describing the statistical nature of the distribution of counts are compared theoretically, and conclusions for application are considered. The validity of the Poisson and the modified Poisson statistical distribution for observing k events in a short time interval is investigated experimentally for various measuring times. The experiments to measure the influence of the significant radioactive decay were performed with 189Ym89Ym(T 1 2 = 16.06 s), using a multichannel analyser (4096 channels) in the multiscaling mode. According to the results, Poisson statistics describe the counting experiment for short measuring times (up to T = 0.5T 1 2) and its application is recommended. However, analysis of the data demonstrated, with confidence, that for long measurements (T ≥ T 1 2) Poisson distribution is not valid and the modified Poisson function is preferable. The practical implications in calculating uncertainties and in optimizing the measuring time are discussed. Differences between the standard deviations evaluated on the basis of the Poisson and binomial models are especially significant for experiments with long measuring time (T/T 1 2 ≥ 2) and/or large detection efficiency (ε > 0.30). Optimization of the measuring time for paired observations yields the same solution for either the binomial or the Poisson distribution.",
author = "I. Salma and {\'E} Zempl{\'e}n-Papp",
year = "1992",
month = "2",
day = "15",
doi = "10.1016/0168-9002(92)90209-M",
language = "English",
volume = "312",
pages = "591--597",
journal = "Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment",
issn = "0168-9002",
publisher = "Elsevier",
number = "3",

}

TY - JOUR

T1 - Experimental investigation of statistical models describing distribution of counts

AU - Salma, I.

AU - Zemplén-Papp, É

PY - 1992/2/15

Y1 - 1992/2/15

N2 - The binomial, Poisson and modified Poisson models which are used for describing the statistical nature of the distribution of counts are compared theoretically, and conclusions for application are considered. The validity of the Poisson and the modified Poisson statistical distribution for observing k events in a short time interval is investigated experimentally for various measuring times. The experiments to measure the influence of the significant radioactive decay were performed with 189Ym89Ym(T 1 2 = 16.06 s), using a multichannel analyser (4096 channels) in the multiscaling mode. According to the results, Poisson statistics describe the counting experiment for short measuring times (up to T = 0.5T 1 2) and its application is recommended. However, analysis of the data demonstrated, with confidence, that for long measurements (T ≥ T 1 2) Poisson distribution is not valid and the modified Poisson function is preferable. The practical implications in calculating uncertainties and in optimizing the measuring time are discussed. Differences between the standard deviations evaluated on the basis of the Poisson and binomial models are especially significant for experiments with long measuring time (T/T 1 2 ≥ 2) and/or large detection efficiency (ε > 0.30). Optimization of the measuring time for paired observations yields the same solution for either the binomial or the Poisson distribution.

AB - The binomial, Poisson and modified Poisson models which are used for describing the statistical nature of the distribution of counts are compared theoretically, and conclusions for application are considered. The validity of the Poisson and the modified Poisson statistical distribution for observing k events in a short time interval is investigated experimentally for various measuring times. The experiments to measure the influence of the significant radioactive decay were performed with 189Ym89Ym(T 1 2 = 16.06 s), using a multichannel analyser (4096 channels) in the multiscaling mode. According to the results, Poisson statistics describe the counting experiment for short measuring times (up to T = 0.5T 1 2) and its application is recommended. However, analysis of the data demonstrated, with confidence, that for long measurements (T ≥ T 1 2) Poisson distribution is not valid and the modified Poisson function is preferable. The practical implications in calculating uncertainties and in optimizing the measuring time are discussed. Differences between the standard deviations evaluated on the basis of the Poisson and binomial models are especially significant for experiments with long measuring time (T/T 1 2 ≥ 2) and/or large detection efficiency (ε > 0.30). Optimization of the measuring time for paired observations yields the same solution for either the binomial or the Poisson distribution.

UR - http://www.scopus.com/inward/record.url?scp=0012931715&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0012931715&partnerID=8YFLogxK

U2 - 10.1016/0168-9002(92)90209-M

DO - 10.1016/0168-9002(92)90209-M

M3 - Article

AN - SCOPUS:0012931715

VL - 312

SP - 591

EP - 597

JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

SN - 0168-9002

IS - 3

ER -