Contemporary methods for data processing in experimental physics (lectures)

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Dec 1, 2013 (3 years and 11 months ago)

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Contemporary methods
for

data processing in experimental physics

(lectures)

Prof.
Ososkov G.A.

e
-
mail: ososkov@jinr.ru

Laboratory of Information Technologies. JINR, Dubna


1. Computer simulation

1.1


Computer representation of the statistical data, group
ed

sample, ordere
d

sample,
sample distribution functions.
How to estimate a simulation

quality
by

grouped and
ordered

sample
.


1.2


Principles of physical processes
simulation taking into account

random factors



The general

methods:
inversion of distribu
tion function,
integrated,
Von Neumann
method
;



Generation of functions from random variables;

1.3


Methods of
dependence evaluation from measured data
.
Robust

estimations of parameters.
Optimum weight functions for cases
of
uniform
ly

noised

signals.

1.4


P
ractical realization
s

of models and methods of their statistical processing with use of
program systems EXEL and STATISTICA.

1.5


Application of

Monte Carlo
meth
od

for numerical integration


2.


Wavelet
-
analysis

application
s

for
data filtering and co
mpression
.

2.1


Continuous and discrete
wavelet
-
transformations
.

2.2


Denoising and

periodicity
determination

with the h
elp of software package WFILTR.

2.3


Application of discrete
wavelet
-
transform

for smoothing functions with the help of
software
package SHRINK.


3.

Artificial neural networks
(
ANN
)
and their application.

3.1


Multilayered
feed
-
forward ANN and

their application
s

in problems of classification
and expert system development.

3.2


Concept of current ANN and their applications for
data

processing in experimental
physics.

3.3


Cellular automata and their realization on a computer. Application of cellular
automaton for generation of random numbers.