Methods of Data Reduction in Analyzing Positron Annihilation Lifetime Spectra
- 1 February 1968
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Nuclear Science
- Vol. 15 (1), 175-187
- https://doi.org/10.1109/tns.1968.4324851
Abstract
The methods of data reduction used in processing the positron annihilation lifetime spectra are thoroughly discussed. For curves which are believed to represent a multi-exponential scheme the methods of least squares is still found to be the most useful one. Its convergence properties, the confidence level of its result and the effect of instrument noise to the result are also discussed. The method of Fourier transforms can also provide reasonable answers, however, its precision is quite limited. For curves which do not appear as multi-exponentials the calculation of time dependent annihilation rate λ(t) is one of the simplest methods. A direct calculation of energy dependent annihilation rate λ(E), or cross section, in general, is not possible since diffusion approximation is not always applicable and our knowledge in the scattering process is quite limited. However, in inert gases, without strong annihilation, a fair estimate of λ(E) may be obtained after certain approximations are made.Keywords
This publication has 9 references indexed in Scilit:
- Cavity Formation in HeliumPhysical Review Letters, 1967
- Positron Annihilation in Materials under Ionizing RadiationThe Journal of Chemical Physics, 1966
- Resonance Annihilation of Positrons in Chlorine and ArgonPhysical Review Letters, 1965
- Exact confidence regions for the parameters in non-linear regression lawsBiometrika, 1964
- The velocity-dependent annihilation rate of slow positrons in argonProceedings of the Physical Society, 1964
- Fine structure in the delayed coincidence lifetime curves for positrons in argonProceedings of the Physical Society, 1964
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963
- The Modified Gauss-Newton Method for the Fitting of Non-Linear Regression Functions by Least SquaresTechnometrics, 1961
- Positron Annihilation in Solids and LiquidsPublished by Elsevier ,1960