40 Years of Radiation Single Event Effects at the European Space Agency, ESTEC

Harboe-Sørensen, R.

doi:10.1109/tns.2013.2247630

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…This may result in the degradation and ultimate failure of its electronic components due to ionization or displacement damage mechanisms (Daly et al, 1996;Feynman & Gabriel, 2000). Effects on electronics also include single event effects (SEEs) (Pellish et al, 2010); these appear when particles deposit sufficient energy or charge in a sensitive region of a component, with non-permanent (soft) errors such as bit flips, as well as, permanent (hard) errors such as latchups (i.e., SELs) and burnouts (SEBs) taking place (Sexton, 2003;Harboe-Sørensen, 2013). Furthermore, SEP events are a major threat to human spaceflight outside the protective shield of the Earth's magnetosphere (Bizzarri et al, 2017; and pose a severe danger for aircrews and passengers on polar flights (Mishev et al, 2015;Tobiska et al, 2015;Miroshnichenko, 2018).…”

Section: Introductionmentioning

confidence: 99%

The probabilistic solar particle event forecasting (PROSPER) model

Papaioannou

Vainio

Raukunen

et al. 2022

J. Space Weather Space Clim.

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The Probabilistic Solar Particle Event foRecasting (PROSPER) model predicts the probability of occurrence and the expected peak flux of solar energetic particle (SEP) events. Predictions are derived for a set of integral proton energies (i.e., E > 10, > 30, and > 100 MeV) from characteristics of solar flares (longitude, magnitude), coronal mass ejections (width, speed), and combinations of both. Herein the PROSPER model methodology for deriving the SEP event forecasts is described, and the validation of the model, based on archived data, is presented for a set of case studies. The PROSPER model has been incorporated into the new operational advanced solar particle event casting system (ASPECS) tool to provide nowcasting (short term forecasting) of SEP events as part of ESA’s future SEP advanced warning system (SAWS). ASPECS also provides the capability to interrogate PROSPER for historical cases via a run-on-demand functionality.

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Section: Introductionmentioning

confidence: 99%

The probabilistic solar particle event forecasting (PROSPER) model

Papaioannou

Vainio

Raukunen

et al. 2022

J. Space Weather Space Clim.

View full text Add to dashboard Cite

show abstract

“…Effects on electronics also include single event effects (SEEs) (Pellish et al 2010), these appear when particles deposit sufficient energy or charge in a sensitive region of a component, with non-permanent (soft) errors such as bit flips, as well as, permanent (hard) errors such as latchups (i.e. SELs) and burnouts (SEBs) taking place (Sexton 2003;Harboe-Sørensen 2013). Furthermore, SEP events are a major threat to human spaceflight outside the protective shield of the Earth's magnetosphere (Bizzarri et al 2017;Townsend 2021) and pose a severe danger for aircrews and passengers on polar flights (Tobiska et al 2015;Mishev et al 2015;Miroshnichenko 2018).…”

Section: Introductionmentioning

confidence: 99%

The Probabilistic Solar Particle Event foRecasting (PROSPER) Model

Παπαϊωάννου¹,

Vainio²,

Raukunen³

et al. 2022

Preprint

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The Probabilistic Solar Particle Event foRecasting (PROSPER) model predicts the probability of occurrence and the expected peak flux of Solar Energetic Particle (SEP) events. Predictions are derived for a set of integral proton energies (i.e. E>10, >30 and >100 MeV) from characteristics of solar flares (longitude, magnitude), coronal mass ejections (width, speed) and combinations of both. Herein the PROSPER model methodology for deriving the SEP event forecasts is described and the validation of the model, based on archived data, is presented for a set of case studies. The PROSPER model has been incorporated into the new operational Advanced Solar Particle Event Casting System (ASPECS) tool to provide nowcasting (short term forecasting) of SEP events as part of ESA's future SEP Advanced Warning System (SAWS). ASPECS also provides the capability to interrogate PROSPER for historical cases via a run on demand functionality.

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“…Many efforts have been made in recent decades to measure, model, and mitigate radiation effects, applying numerous techniques and approaching the problem at various abstraction levels. There are three main research methods: mixed-level simulations, fault injection [7][8][9], and accelerated radiation ground testing [10,11].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Experimental Study of Soft Error Propagation Based on Cellular Automaton

Wang

Xing

et al. 2016

Mathematical Problems in Engineering

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Aiming to estimate SEE soft error performance of complex electronic systems, a soft error propagation model based on cellular automaton is proposed and an estimation methodology based on circuit partitioning and error propagation is presented. Simulations indicate that different fault grade jamming and different coupling factors between cells are the main parameters influencing the vulnerability of the system. Accelerated radiation experiments have been developed to determine the main parameters for raw soft error vulnerability of the module and coupling factors. Results indicate that the proposed method is feasible.

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40 Years of Radiation Single Event Effects at the European Space Agency, ESTEC

Cited by 11 publications

References 24 publications

The probabilistic solar particle event forecasting (PROSPER) model

The probabilistic solar particle event forecasting (PROSPER) model

The Probabilistic Solar Particle Event foRecasting (PROSPER) Model

Modeling and Experimental Study of Soft Error Propagation Based on Cellular Automaton

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