STASTISTICAL APPROXIMATION OF IR SPECTRAL DATA ON ZINC-WHITE PAINT FROM XX-CENTURY RUSSIAN PAINTINGS
Abstract
A statistical model is proposed to approximate experimental data on the FTIR spectroscopy of paint samples from paintings of different ages. The model is based on random variations of several parameters (initial rates of ageing and moments and degrees of the ageing rate changing). The parameters that characterize the scatter of the paint compositions and storage conditions are determined. The numerical results are in qualitative agreement with the experimental data. In the framework of the model, variations in the initial composition of paint and variety of storage conditions almost equally contribute to the observed dispersion of the experimental data.
About the Authors
I. A. Balakhnina
M. V. Lomonosov Moscow State University
Russian Federation
Russian Federation
N. N. Brandt
M. V. Lomonosov Moscow State University
Russian Federation
Russian Federation
D. . Valenti
University of Palermo
Russian Federation
Russian Federation
I. A. Grigorieva
State Hermitage Museum
Russian Federation
Russian Federation
B. . Spagnolo
University of Palermo
Russian Federation
Russian Federation
A. Yu. Chikishev
M. V. Lomonosov Moscow State University
Russian Federation
Russian Federation
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Review
For citations:
Balakhnina I.A., Brandt N.N., Valenti D., Grigorieva I.A., Spagnolo B., Chikishev A.Yu. STASTISTICAL APPROXIMATION OF IR SPECTRAL DATA ON ZINC-WHITE PAINT FROM XX-CENTURY RUSSIAN PAINTINGS. Zhurnal Prikladnoii Spektroskopii. 2017;84(3):469-474. (In Russ.)
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