EPJ Web Conf.
Volume 177, 2018The XXI International Scientific Conference of Young Scientists and Specialists (AYSS-2017)
|Number of page(s)||5|
|Section||Mathematical Modeling and Computational Physics|
|Published online||18 April 2018|
Application of Turchin's method of statistical regularization
Institute for Nuclear Research RAS
2 Moscow Institute of Physics and Technology
Published online: 18 April 2018
During analysis of experimental data, one usually needs to restore a signal after it has been convoluted with some kind of apparatus function. According to Hadamard's definition this problem is ill-posed and requires regularization to provide sensible results. In this article we describe an implementation of the Turchin's method of statistical regularization based on the Bayesian approach to the regularization strategy.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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