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. |
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| 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] |
| Copyright of New Journal of Physics is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 193527414 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A model for positron annihilation in multi-layer systems by solving the diffusion equation using different positron affinities. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Mathes%2C+Lucian%22">Mathes, Lucian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> lucian.mathes@tum.de</i><br /><searchLink fieldCode="AR" term="%22Göldl%2C+Michael%22">Göldl, Michael</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Leitner%2C+Michael%22">Leitner, Michael</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kohlhaas%2C+Bettina%22">Kohlhaas, Bettina</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suhr%2C+Maximilian%22">Suhr, Maximilian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vadimovitch+Burwitz%2C+Vassily%22">Vadimovitch Burwitz, Vassily</searchLink><relatesTo>1,2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Manhard%2C+Armin%22">Manhard, Armin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hugenschmidt%2C+Christoph%22">Hugenschmidt, Christoph</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22New+Journal+of+Physics%22">New Journal of Physics</searchLink>. 2026, Vol. 28 Issue 5, p1-11. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Positron+annihilation%22">Positron annihilation</searchLink><br /><searchLink fieldCode="DE" term="%22Multilayers%22">Multilayers</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Diffusion+coefficients%22">Diffusion coefficients</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Electron-positron+interactions%22">Electron-positron interactions</searchLink><br /><searchLink fieldCode="DE" term="%22Doppler+broadening%22">Doppler broadening</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of New Journal of Physics is the property of IOP Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1088/1367-2630/ae6136 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 1 Subjects: – SubjectFull: Positron annihilation Type: general – SubjectFull: Multilayers Type: general – SubjectFull: Python programming language Type: general – SubjectFull: Diffusion coefficients Type: general – SubjectFull: Markov processes Type: general – SubjectFull: Electron-positron interactions Type: general – SubjectFull: Doppler broadening Type: general Titles: – TitleFull: A model for positron annihilation in multi-layer systems by solving the diffusion equation using different positron affinities. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mathes, Lucian – PersonEntity: Name: NameFull: Göldl, Michael – PersonEntity: Name: NameFull: Leitner, Michael – PersonEntity: Name: NameFull: Kohlhaas, Bettina – PersonEntity: Name: NameFull: Suhr, Maximilian – PersonEntity: Name: NameFull: Vadimovitch Burwitz, Vassily – PersonEntity: Name: NameFull: Manhard, Armin – PersonEntity: Name: NameFull: Hugenschmidt, Christoph IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 13672630 Numbering: – Type: volume Value: 28 – Type: issue Value: 5 Titles: – TitleFull: New Journal of Physics Type: main |
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