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A simple physical model for calculation of the ion-induced soft error rate in space environment has been proposed, based on the phenomenological cross section notion. Proposed numerical procedure is adapted to the multiple cell upset…

Space Physics · Physics 2017-10-11 Gennady I. Zebrev , Artur M. Galimov

A self-consistent procedure for the ion-induced soft error rate calculation in space environment taking into account Error Correcting Codes is proposed. The method is based on the partitioning of the multiple cell events into groups with…

In this paper, we present an accurate but very fast soft error rate (SER) estimation technique for digital circuits based on error propagation probability (EPP) computation. Experiments results and comparison of the results with the random…

Hardware Architecture · Computer Science 2011-11-09 Ghazanfar Asadi , Mehdi B. Tahoori

As technology scales, nano-scale digital circuits face heightened susceptibility to single event upsets (SEUs) and transients (SETs) due to shrinking feature sizes and reduced operating voltages. While logical, electrical, and timing…

Hardware Architecture · Computer Science 2025-08-19 Ali Jockar , Mohsen Raji

A procedure of space proton-induced Soft Error Rate calculation based on heavy ion testing data is proposed. The approach relies on Geant4-assisted Monte Carlo simulation of the secondary particle LET spectra produced by proton…

Space Physics · Physics 2017-04-25 Artur M. Galimov , Regina M. Galimova , Gennady I. Zebrev

The soft error rate (SER) of integrated circuits (ICs) operating in space environment may vary by several orders of magnitude due to the variable intensity of radiation exposure. To ensure the radiation hardness without compromising the…

Instrumentation and Detectors · Physics 2021-04-06 Marko Andjelkovic , Junchao Chen , Aleksandar Simevski , Zoran Stamenkovic , Milos Krstic , Rolf Kraemer

This paper addresses the problem of unsupervised soft bit error rate (BER) estimation for any communications system, where no prior knowledge either about transmitted information bits, or the transceiver scheme is available. We show that…

Information Theory · Computer Science 2013-09-26 Samir Saoudi , Tarik Ait-Idir , Yukou Mochida

Over past years, the easy accessibility to the large scale datasets has significantly shifted the paradigm for developing highly accurate prediction models that are driven from Neural Network (NN). These models can be potentially impacted…

Machine Learning · Computer Science 2020-04-22 Navid Khoshavi , Saman Sargolzaei , Arman Roohi , Connor Broyles , Yu Bi

A single event upset (SEU) is a critical soft error that occurs in semiconductor devices on exposure to ionising particles from space environments. SEUs cause bit flips in the memory component of semiconductors. This creates a multitude of…

Machine Learning · Computer Science 2023-10-10 Archit Gupta , Chong Yock Eng , Deon Lim Meng Wee , Rashna Analia Ahmed , See Min Sim

The aim of this paper is the modeling and simulation of impact of space radiation variability on total dose and single event effects in spaceborne electronics. It has been shown that the simultaneous thermal annealing may lead to…

Space Physics · Physics 2014-05-23 G. I. Zebrev , I. V. Elushov

Nanometer circuits are becoming increasingly susceptible to soft-errors due to alpha-particle and atmospheric neutron strikes as device scaling reduces node capacitances and supply/threshold voltage scaling reduces noise margins. It is…

Hardware Architecture · Computer Science 2011-11-09 Yuvraj Singh Dhillon , Abdulkadir Utku Diril , Abhijit Chatterjee

A simple and self-consistent approach has been proposed for simulation of the proton-induced soft error rate based on the heavy ion induced single event upset cross-section data and vice versa. The approach relies on the GEANT4 assisted…

Instrumentation and Detectors · Physics 2017-10-16 Artur M. Galimov , Regina M. Galimova , Gennady I. Zebrev

Physical symmetries provide a strong inductive bias for constructing functions to analyze data. In particular, this bias may improve robustness, data efficiency, and interpretability of machine learning models. However, building machine…

High Energy Physics - Phenomenology · Physics 2025-11-05 Pradyun Hebbar , Thandikire Madula , Vinicius Mikuni , Benjamin Nachman , Nadav Outmezguine , Inbar Savoray

Atmospheric attenuation, atmospheric turbulence, geometric spread, and pointing errors, degrade the performance of free-space optical transmission. In the weak turbulence regime, the probability density function describing the distribution…

Signal Processing · Electrical Eng. & Systems 2025-06-25 Carmen Álvarez Roa , Yunus Can Gültekin , Kaiquan Wu , Cornelis Willem Korevaar , Alex Alvarado

For the diffraction of an incident plane electromagnetic wave by a slotted metallic film, the previous analytical calculation for a single slot [Technical Phys. 50, 1076 (2005)] is generalized into a model for an arbitrary linear array of…

Computational Physics · Physics 2011-06-21 L. David Wellems , Danhong Huang

The typical model for measurement noise in quantum error correction is to randomly flip the binary measurement outcome. In experiments, measurements yield much richer information - e.g., continuous current values, discrete photon counts -…

Whether it is oil and gas exploration or geological science research, it is necessary to accurately grasp the structural information of underground media. Full waveform inversion is currently the most popular seismic wave inversion method,…

Geophysics · Physics 2024-07-30 Guoxin Chen

High-throughput optical communication systems utilize binary soft-decision forward error correction (SD-FEC) with bit interleaving over the bit channels. The generalized mutual information (GMI) is an achievable information rate (AIR) in…

Information Theory · Computer Science 2024-01-30 Tsuyoshi Yoshida , Magnus Karlsson , Erik Agrell

Estimating the probability of rare failure events is an essential step in the reliability assessment of engineering systems. Computing this failure probability for complex non-linear systems is challenging, and has recently spurred the…

Machine Learning · Computer Science 2022-02-10 P. -R. Wagner , S. Marelli , I. Papaioannou , D. Straub , B. Sudret

Soft errors in large VLSI circuits pose dramatic influence on computing- and memory-intensive neural network (NN) processing. Understanding the influence of soft errors on NNs is critical to protect against soft errors for reliable NN…

Machine Learning · Computer Science 2022-10-13 Haitong Huang , Xinghua Xue , Cheng Liu , Ying Wang , Tao Luo , Long Cheng , Huawei Li , Xiaowei Li
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