Abstract
Three basic methods that are extensively applied at JINR to process recent experimental data are reviewed, namely, robust methods of mathematical statistics, artificial neural networks, and wavelet analysis. This review primarily covers studies in which scientists from the Laboratory of Informational Technologies participated, in particular, in collaborations with the leading centers of physics such as CERN, DESY, BNL, GSI, etc. The main principles of the reviewed methods and the most useful and promising examples of their applications are discussed.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
G. Ososkov et al., PEPAN 33(3), 676–745 (2002).
G. Ososkov, Tatra Mountains. Math. Publ. 26, 1–16 (2003).
G. Ososkov and A. Stadnik, Opt. Memory Neural Networks 12(3), 199–218 (2003).
G. Ososkov and A. Stadnik, Nucl. Instrum. Methods Phys. Res. A 502(2–3), 529–531 (2003).
V. Uzhinskii, G. Ososkov, et al., Yad. Phys. 67, 156–162 (2004) [Phys. At. Nucl. 67, 156 (2004)], http://arxiv.org/PS_cache/hepex/pdf/0206/0206003.pdf.
P. G. Akishin, V. V. Ivanov, G. A. Ososkov, et al., JINR Commun. E10-2006-48 (Dubna, 2006).
S. Dmitrievsky, Yu. Gornushkin, and G. Ososkov, JINR Commun. E10-2005-216 (Dubna, 2005).
L. Muresan, G. Ososkov, et al., JINR Rapid Commun. 1[81]-97 (Dubna, 1997), pp. 27–44.
B. Lasiuk, D. Lyons, G. Ososkov, and T. Ullrich, in Proc. of CHEP’98 (Chickago, 1998).
I. Kisel, V. Neskoromnyi, and G. A. Ososkov, PEPAN 24(6), 1551–1595 (1993).
G. Ososkov et al., Math. Modelling 11(10), 116–126 (1999).
I. Galkin, G. Ososkov, et al., Radio Sci. 31(5), 1119–1128 (1996).
G. Ososkov and A. Shitov, Comp. Phys. Comm. 126(1–2), 149–157 (2000).
A. Islamov et al., Nucl. Instrum. Methods Phys. Res. A 502(2–3), 498–500 (2003).
Author information
Authors and Affiliations
Corresponding author
Additional information
The text was submitted by the author in English.