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A model for positron annihilation in multi-layer systems by solving the diffusion equation using different positron affinities.

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Title: A model for positron annihilation in multi-layer systems by solving the diffusion equation using different positron affinities.
Authors: Mathes, Lucian1,2 (AUTHOR) lucian.mathes@tum.de, Göldl, Michael1,2 (AUTHOR), Leitner, Michael1 (AUTHOR), Kohlhaas, Bettina1 (AUTHOR), Suhr, Maximilian1,2 (AUTHOR), Vadimovitch Burwitz, Vassily1,2,3 (AUTHOR), Manhard, Armin3 (AUTHOR), Hugenschmidt, Christoph1 (AUTHOR)
Source: New Journal of Physics. 2026, Vol. 28 Issue 5, p1-11. 11p.
Subjects: Positron annihilation, Multilayers, Python programming language, Diffusion coefficients, Markov processes, Electron-positron interactions, Doppler broadening
Abstract: We present a method for solving the positron diffusion equation in multi-layer systems. Our approach incorporates material-specific implantation profiles, diffusion parameters, and positron affinities. It utilizes a Markov chain approach to model annihilation probabilities and provides fitting capabilities for experimental S (lineshape) parameter data. We have implemented this algorithm in Python and made it available for free under the name layer-wise investigation of measurements on positron implantation and diffusion (LIMPID). To demonstrate its performance, we analyze depth-resolved Doppler-Broadening Spectroscopy measurements of a Cu layer on a Si substrate, achieving excellent agreement with the experimental profiles. The LIMPID tool enhances the reproducibility and comparability of positron defect characterization measurements across different research groups. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:We present a method for solving the positron diffusion equation in multi-layer systems. Our approach incorporates material-specific implantation profiles, diffusion parameters, and positron affinities. It utilizes a Markov chain approach to model annihilation probabilities and provides fitting capabilities for experimental S (lineshape) parameter data. We have implemented this algorithm in Python and made it available for free under the name layer-wise investigation of measurements on positron implantation and diffusion (LIMPID). To demonstrate its performance, we analyze depth-resolved Doppler-Broadening Spectroscopy measurements of a Cu layer on a Si substrate, achieving excellent agreement with the experimental profiles. The LIMPID tool enhances the reproducibility and comparability of positron defect characterization measurements across different research groups. [ABSTRACT FROM AUTHOR]
ISSN:13672630
DOI:10.1088/1367-2630/ae6136