The paper presents the application of the multi-layer perceptron regressor model for predicting the parameters of positron annihilation lifetime spectra using the example of alkanes in the solid phase. A good agreement of calculation results was found when comparing with the commonly used methods. The presented method can be used as an alternative quick and accurate tool for decomposition of PALS spectra in general. The advantages and disadvantages of the new method are discussed.
@article{arxiv.2301.01521,
title = {Artificial neural network as an effective tool to calculate parameters of positron annihilation lifetime spectra},
author = {M. Pietrow and A. Miaskowski},
journal= {arXiv preprint arXiv:2301.01521},
year = {2023}
}