Bayesian PIXE background subtraction

Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

Volumn 150, Issue 1-4, 1999, Pages 129-135

  Padayachee, J ^a   Prozesky, V ^a   Von Der Linden, W ^b   Nkwinika, M S ^a   Dose, V ^b  

^a NATIONAL ACCELERATOR CENTRE   (South Africa)

^b MAX PLANCK INSTITUT FÜR PLASMAPHYSIK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ION BEAMS; PROBABILITY; SPURIOUS SIGNAL NOISE; STATISTICS; X RAYS;

BACKGROUND SUBTRACTION; BAYESIAN DATA ANALYSIS; PARTICLE INDUCED X RAY EMISSION;

X RAY ANALYSIS;

EID: 0033515209     PISSN: 0168583X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-583X(98)01063-5     Document Type: Article

References (20)

1. Van Espen P., Janssens K., Nobels J. Chemom. Int. Lab. Syst. 1:1986;109.
2. Johansson G.I. X-ray Spectrom. 11:1982;194.
3. Vekemans B., Janssens K., Vincze L., Adams F., Van Espen P. Spectrochimica Acta. 50 B(2):1995;149.
4. Maxwell J.A., Campbell J.L., Teesdale W.J. Nucl. Instr. and Meth. B. 43:1989;218.
5. Kneen M.A., Annegarn H.J. Nucl. Instr. and Meth. B. 109/110:1996;209.
6. Ryan C.G., Cousens D.R., Sie S.H., Griffin W.L., Suter G.F., Clayton E. Nucl. Instr. and Meth. B. 47:1990;55.
7. W. von der Linden, V. Dose, R. Fischer, How to separate the signal from the background, in: M. Sears, V. Nedeljkovic, N.E. Pendock, S. Sibisi (Eds.), MAXENT96: Proceedings of the Maximum Entropy Conference 1996, NMB Printers, Port Elizabeth, South Africa, 1996, p. 146.
8. H. Jeffreys, Theory of Probability, Oxford University Press, London, 1939.
9. M. Tribus, Rational Descriptions, Decision and Design, Pergamon Press, New York, 1969.
10. D. Sivia, Data Analysis - A Bayesian Tutorial, Clarendon Press, Oxford, 1996.
11. Bayes R.T. Essay toward solving a problem in the doctrine of chances. Philos. Trans. R. Soc. London. 53:1763;370.
12. E. Jaynes, Prior probabilities, in: E.T. Jaynes (Ed.), Papers on Probability; in: R. Rosenkrantz (Ed.), Statistics and Statistical Physics, Reidel, Dordrecht, 1983, p. 114.
13. J. Kapur, H. Kesavan (Eds.), Entropy Optimization Principles with Applications, Academic Press, San Diego, 1992.
14. E. Jaynes, Marginalization and prior probabilities, in: E.T. Jaynes (Ed.), Papers on Probability, in: R. Rosenkrantz (Ed.), Statistics and Statistical Physics, Reidel, Dordrecht, 1983, p. 337.
15. D. Sivia, Dealing with duff data, in: M. Sears, V. Nedeljkovic, N.E. Pendock, S. Sibisi (Eds.), MAXENT96: Proceedings of the Maximum Entropy Conference 1996, NMB Printers, Port Elizabeth, South Africa, 1996, p. 131.
16. W.H. Press, Understanding data better with Bayesian and global statistical methods, in: J.P. Ostriker (Ed.), Unsolved Problems in Astrophysics, Proceedings of Conference in Honor of John Bahcall, Princeton University Press, Princeton, 1996, pre-print in astro-ph9604126.
17. A. O'Hagan, Kendall's Advanced Theory of Statistics, Bayesian Inference, 1st ed., Wiley, New York, 1994.
18. A. Garrett, Ockham's razor, Physics World, May 1991, p. 39.
19. A. Garrett, Ockham's razor, in: W. Grandy Jr., L. Schick (Eds.), Maximum Entropy and Bayesian Methods, Kluwer Academic Publishers, Dordrecht, 1991, p. 357.
20. W. von der Linden, V. Dose, J. Padayachee, V. Prozesky, Background Analysis, in press.