Analysis Centre seminar: N. Gagunashvili: "Machine learning approach to inverse problem and unfolding procedure"
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Europe/Berlin
Description
Abstract:A procedure for unfolding the true distribution from experimental data
is presented. Machine learning method are applied for the identification an apparatus function and solving inverse problem simultaneously. A priori information about the true distribution which is known from theory or previous experiments is used for Monte-Carlo simulation of the training sample. The stability of the result of the unfolding is obtained by a sensible binning and by application of D-optimization. The unfolding procedure may be applied for detectors with a linear or nonlinear transformation of a true distribution into the experimentally measured one. The dimensionality of the solved problem can be arbitrary.
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DESY Hamburg, 17:00
SR 4a
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EVO connection:
Title: Analysis Centre Seminars
Description: Analysis Centre Seminars
Community: Terascale
Phone Bridge ID: 1312410
Meeting URL:
http://evo.vrvs.org/evoGate/koala.jnlp?meeting=MaMDMt222sDeDi9M98DI9a
