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JACIII Vol.6 No.2 pp. 72-78
doi: 10.20965/jaciii.2002.p0072
(2002)

Paper:

Modeling Photon Counting Experiments using Fuzzy Logic Controller

László Nádai

Computer and Automation Research Institute, Hungarian Academy of Science, Kende u. 13-17, Budapest, H-1111 Hungary

Received:
Novemver 10, 2000
Accepted:
July 17, 2002
Published:
June 20, 2002
Keywords:
photon counting, point process, fractal dimension, fuzzy control
Abstract

The concept of point fractal is applied to analyze the time-scale variability of point processes resulting from photon counting experiments. A new algorithm – using a fuzzy logic controller – for estimating the fractal dimension is proposed to eliminate systematic and stochastic errors. It is shown that scale invariance exists in time and clustering will decrease in accordance with the increase of the threshold that corresponds to the inverse sensitivity of the detector. Under the variation of the threshold, it is verified that the maximum values of the homogenous scale invariant interval are the same. In addition, taking the probability scale law on different levels of threshold value, a relation is established between the saturation scale (return period) and the threshold (design experiment variable).

Cite this article as:
László Nádai, “Modeling Photon Counting Experiments using Fuzzy Logic Controller,” J. Adv. Comput. Intell. Intell. Inform., Vol.6, No.2, pp. 72-78, 2002.
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