A1 Journal article (refereed)
Proton Direct Ionization in Sub-Micron Technologies : Numerical Method for RPP Parameter Extraction (2022)

Lüdeke, S., & Javanainen, A. (2022). Proton Direct Ionization in Sub-Micron Technologies : Numerical Method for RPP Parameter Extraction. IEEE Transactions on Nuclear Science, 69(3), 254-263. https://doi.org/10.1109/tns.2022.3147592

JYU authors or editors

Publication details

All authors or editors: Lüdeke, Sascha; Javanainen, Arto

Journal or series: IEEE Transactions on Nuclear Science

ISSN: 0018-9499

eISSN: 1558-1578

Publication year: 2022

Volume: 69

Issue number: 3

Pages range: 254-263

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Publication country: United States

Publication language: English

DOI: https://doi.org/10.1109/tns.2022.3147592

Publication open access: Not open

Publication channel open access:

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/79676

Abstract

This work introduces a numerical method to iteratively extract parameters of a rectangular parallelepiped (RPP) sensitive volume (SV) from experimental proton direct ionization SEU data. The method combines two separate numerical models. The first model estimates the average LET values for energetic ions, including protons and also heavy ions, in elemental solid targets. The second model describes the statistical variance in the energy deposition events of projectile-induced primary ionization within a RPP shaped target volume. To benchmark the method, simulated cross-section values based on RPP parameters derived with this method are compared with literature data from four SRAM devices. The RPP geometries determined by this method reproduced the experimental cross-section values in the literature with good accuracy, therefore showing that this method can be used to reliably and quickly determine the RPP parameters for SVs in memories sensitive to proton direct ionization (PDI). The method is currently strictly limited to direct ionization effects, i.e. not taking into account any nuclear reaction mechanisms, and elemental materials due to the underlying models’ definitions.

Keywords: radiation physics; ionising radiation; protons; numerical methods; Monte Carlo methods

Free keywords: proton direct ionization (PDI); single event upset (SEU); linear energy transfer (LET); straggling; Monte Carlo (MC) method; rectangular parallelepiped (RPP)

Contributing organizations

Related projects

Related research datasets

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1