Statistical Error in Absorption Experiments,

Abstract

In certain exponential absorption experiments, notably measurements of cross sections by transmission, it is important to achieve minimum statistical error in a limited time, or to minimize the counting time required to measure the absorption coefficient with a preassigned accuracy. The conditions required to attain these ends, i.e., the geometry for optimum transmission, and the best apportionment of counting times among the incident and transmitted beams and background, have been investigated for a wide range of relative backgrounds (0.001 to 0.01), and for two geometries: (1) Beam area fixed, absorber thickness alone is varied, and (2) Beam area and absorber thickness are both disposable parameters, while the total amount of absorber intercepting the beam remains fixed. In both cases the incident flux density and the background rate are assumed constant. The optimum transmissions are shown to be, in general, considerably smaller than those commonly used in absorption experiments. Thus, in Case 1, a useful rule is to employ a transmission of about 0.1 for low backgrounds, 0.2 for moderate backgrounds, and 0.3 for high backgrounds. The following have also been determined: (a) minimum statistical error for a given total counting time, (b) statistical error and the best distribution of counting times for nonoptimum geometry, and (c) sensitivity of the accuracy or total counting time to deviations from optimum transmission.

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Document Details

Document Type
Technical Report
Publication Date
May 10, 1948
Accession Number
ADA319422

Entities

People

  • M. E. Rose
  • M. M. Shapiro

Organizations

  • Oak Ridge National Laboratory

Tags

DTIC Thesaurus Topics

  • Absorption
  • Absorption Coefficients
  • Accuracy
  • Coefficients
  • Cosmic Rays
  • Detectors
  • Equations
  • Errors
  • Exponential Functions
  • Flux Density
  • Geometry
  • High Altitude
  • Measurement
  • Nuclear Physics
  • Radioactive Decay
  • Sensitivity
  • Thickness

Fields of Study

  • Physics

Readers

  • Microwave Engineering.
  • Regression Analysis.
  • Solar Physics