Background estimation in experimental spectra

Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics

Volumn 61, Issue 2, 2000, Pages 1152-1160

  Fischer, R ^a   Hanson, K M ^a,b   Dose, V ^a   von der Linden, W ^c  

^a MAX PLANCK INSTITUT FÜR PLASMAPHYSIK   (Germany)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

^c GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; EMISSION SPECTROSCOPY; ION BEAMS;

AUGER SPECTRUM; BACKGROUND ESTIMATION; BAYESIAN MODEL; EXPERIMENTAL SPECTRA; FULLY BAYESIAN APPROACHES; GEOLOGICAL SAMPLES; NEGATIVE COMPONENTS; PROBABILISTIC TECHNIQUE;

UNCERTAINTY ANALYSIS;

EID: 0000922506     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.61.1152     Document Type: Article

References (22)

1. W. von der Linden, V. Dose, J. Padayachee, and V. Prozesky, Phys. Rev. E 59, 6527 (1999).
2. J. Padayachee, Nucl. Instrum. Methods Phys. Res. B 150, 129 (1999).
3. W. von der Linden, V. Dose, and R. Fischer, in MAXENT96 - Proceedings of the Maximum Entropy Conference 1996, edited by M. Sears, V. Nedeljkovic, N. E. Pendock, and S. S. Sibisi (NMB Printers, Port Elizabeth, South Africa, 1997), pp. 154–163.
4. J. Stoer, Einführung in die Numerische Mathematik I (Springer Verlag, Berlin, 1979).
5. J. Stoer and R. Bulirsch, Introduction to Numerical Analysis (Springer Verlag, New York, 1980).
6. C. de Boor, A Practical Guide to Splines (Springer Verlag, New York, 1978).
7. R. T. Bayes, Philos. Trans. R. Soc. London 53, 370 (1763);reprinted in S. J. Press, Bayesian Statistics: Principles, Models, and Applications (Wiley, New York, 1989).
8. D. S. Sivia, Data Analysis - A Bayesian Tutorial (Clarendon Press, Oxford, 1996).
9. A. Gelman, J. B. Carlin, H. S. Stern, and D. B. Rubin, Bayesian Data Analysis (Chapman & Hall, London, 1995).
10. D. S. Sivia, in MAXENT96 - Proceedings of the Maximum Entropy Conference 1996, edited by M. Sears, V. Nedeljkovic, N. E. Pendock, and S. Sibisi (NMB Printers, Port Elizabeth, South Africa, 1997), pp. 131–137.
11. W. H. Press, in Unsolved Problems in Astrophysics, edited by J. N. Bahcall and J. P. Ostriker (Princeton University Press, Princeton, 1997), pp. 49–60.
12. V. Dose and W. von der Linden, in Maximum Entropy and Bayesian Methods, edited by V. Dose, W. von der Linden, R. Fischer, and R. Preuss (Kluwer Academic Publishers, Dordrecht, 1999).
13. K. M. Hanson and D. R. Wolf, in Maximum Entropy and Bayesian Methods, edited by G. Heidbreder (Kluwer Academic Publishers, Dordrecht, 1996), pp. 255–263.
14. Markov Chain Monte Carlo in Practice, edited by W. R. Gilks, S. Richardson, and D. J. Spiegelhalter (Chapman & Hall, London, 1996).
15. G. S. Cunningham, I. Koyfman, and K. M. Hanson, Proc. SPIE 2710, 145 (1996).
16. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes, 2nd ed. (Cambridge University Press, Cambridge, 1992).
17. H. Szu and R. Hartley, Phys. Lett. A 122, 157 (1987).
18. A. J. M. Garrett, Phys. World May, 39 (1991).
19. A. J. M. Garrett, in Maximum Entropy and Bayesian Methods, edited by W. T. Grandy, Jr. and L. H. Schick (Kluwer Academic Publishers, Dordrecht, 1991), p. 357.
20. D. J. C. MacKay, Neural Comput. 4, 415 (1992).
21. R. Weissmann and K. Müller, Surf. Sci. Rep. 105, 251 (1981).
22. P. Staib and J. Kirschner, Appl. Phys. 3, 421 (1974).