Hostname: page-component-74656f9884-j7cmm Total loading time: 0 Render date: 2026-11-10T13:19:48.717Z Has data issue: false hasContentIssue false
  • English
  • Français

Automatic Data Acquisition and Reduction for Elemental Analysis of Aerosol Samples*

Published online by Cambridge University Press:  06 March 2019

J. F. Harrison  and
R. A. Eldred
J. F. Harrison
Affiliation:
Crocker Nuclear Laboratory, University of California, Davis
R. A. Eldred
Affiliation:
Crocker Nuclear Laboratory, University of California, Davis
Get access

Abstract

A PDF 15/40 computer wich ADC and CAMAC interfaces is used to control data collection apparatus, acquire data, and reduce data to determine the elemental composition of aerosol samples. The background is subtracted from each energy spectrum, peak centers are located automatically using a Gaussian correlation technique, peak multiplets are resolved with Gaussian fits, peak energies are compared with entries in a table of x-ray lines for possible identification, multiple identification of peaks and line interferences are resolved, and the elemental amounts are determined from the areas of the Gaussian fits.

Information

Type
Research Article
Information
Advances in X-Ray Analysis , Volume 17: Twenty-Second Annual Conference on Applications of X-ray Analysis, August 22-24, 1973 , 1973 , pp. 560 - 570
Copyright
Copyright © International Centre for Diffraction Data 1973

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Footnotes

*

Work supported by the National Science Foundation/RANN and the California Air Resources Board.

References

1. Thibeau, H., Stadle, J. Cline, W and Cahill, T. A., “On-Demand Beam Pulsing for an Accelerator,” submitted to Nucl. Instr. and Meth.Google Scholar
2. Micromatter Corporation, Seattle, Washington.Google Scholar
3. Cooper, J. A., “Review of a Workshop on X-Ray Fluorescence Analysis of Aerosols,” Battelle Northwest Publication BNWL-SA-4690, p. C2 (1973).Google Scholar
4. Hooton, I. N., “The Display of Statistical Data from Nuclear Counting Experiments,” Nucl. Instr. and Meth. 56, 277–283 (1967).Google Scholar
5. Flocchini, R. G., Feeney, P. J., Sommerville, R. J. and Cahill, T. A., “Sensitivity Versus Target Backings for Elemental Analysis by Alpha Excited X-Ray Emission,” Nucl. Instr. and Meth. 100, 397–402 (1972).Google Scholar
6. Ralston, H. R. and Wilcox, G. E., “A Computer Method of Peak Area Determination from Ge(Li) Gamma Spectra,” in DeVoe, J. R., Editor, Modern Trends in Activation Analysis, Vol. 2, p. 1238–1243, National Bureau of Standards (1969).Google Scholar
7. Savitzky, A and Golay, M. J. E., “Smoothing and Differentiation of Data by Simplified Least Squares Procedures,” Anal. Chem, 36, 1627–1639 (1964).Google Scholar
8. Connelly, A. L. and Black, W. W., “Automatic Location and Area Determination of Photopeaks,” Nucl. Instr. and Meth. 82, 141–148 (1970).Google Scholar
9. Heath, R. L., Frankel, R. S., Gehrke, R. J. and Barstow, J., “Energy Dispersive X-Ray Spectrometry with Dedicated Computer Data Reduction,” in Analysis Instrumentation, Vol. 9, See. F2, p. 1–10, Instrument Society of America (1971).Google Scholar
10. Bevington, P. R., Data Reduction and Error Analysis for the Physical Sciences, p. 232–245, McGraw-Hill (1969).Google Scholar