Chatry Nathalie , Varotsou Athina , Peyrard Pierre-François · QUAL/2005/24529b RADPRED 2010 1st...
Transcript of Chatry Nathalie , Varotsou Athina , Peyrard Pierre-François · QUAL/2005/24529b RADPRED 2010 1st...
QUAL/2005/24529b RADPRED 2010 1st Workshop 14-15 January
Engineering approach and tools.
Chatry Nathalie, Varotsou Athina, Peyrard Pierre-François
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OUTLINE
1. SEE analysis: An engineering approach
2. OMERE : Space Environment & SEE modules
3. Possible improvements.
QUAL/2005/24529b RADPRED 2010 1st Workshop 14-15 January
SEE analysisAn engineering approach
N. Chatry
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Engineering approach
• SEE analysis at Unit level - Engineering Problematic
Input data
�EEE part list
�Satellite Customer Space Environment specifications
�Satellite Customer Radiation requirements
�Unit specifications
Output Data required
�List of sensitive part for each SEE type
�For each sensitive part
• Effects Description at part level
• SER prediction for the mission
�Effects and criticality analysis at unit
level in Worst Case analysis
�SEE FIT taking into account in the
Reliability analysis
�SEE analysis Status at system level
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Engineering approach
• SEE analysis at Part level – First step : SEE Test data
� SEE Test data are very dependant of operating conditions
� Applicable Test data available?- manufacturers data
- in house database (from other projects)
- Public radiation database
- NSREC, RADECS Data Workshops
� When no data available and usable- Heavy ions Test (and protons Test if necessary)
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Engineering approach
• SEE analysis at Part level – Second step : SEE rate calculation
� Method and tool must be easily usable in practice by the engineer- Number and complexity of input parameters
- Time to perform calculation
� Concept have to be compliant with radiation requirements and agreed in some standard
� Commonly used method is RPP concept implemented in CREME code and OMERE software
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Engineering approach
• Heavy ions SEE rate calculation ( IRPP concept)
� Known parameters- Component sensitivity
• LET threshold• Saturated cross section
- Environment specification• Heavy ions LET spectrum
� Assumption for other parameters for conservative calculations- Adjustment of FIT parameters- Sensitive volume depth- Number of sensitive cells (for SEL, SET)
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Engineering approach
• Proton SEE rate calculation
� Data available- Component sensitivity
• Energy threshold
• Saturated cross section
- Environment specification• Proton transported fluxes
� No data available, prediction method used- PROFIT
- SIMPA
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Engineering approach
• RPP concept limitations
� SER results depend on assumptions- Adjustment of FIT parameters � engineer is free to adjust the curve shape- Sensitive Volume depth depends on part design not always well known
• more realistic SV thickness ==> better prediction- Number of sensitive cells (for SEL, SET)
• 1 SV to obtain conservative rate, • Is the RPP concept well adapted for SEL & SET predictions ?
� Ground data used to predict in-flight SER- Is it always a worst case prediction?- How to avoid over-estimated rates ?- Improvement in testing conditions based on the comparison between prediction and in-
flight data
� Variation of LET over ion path-length- In case of deep Sensitive Volume, how to take into account the variation of the LET
along the ion path ?
QUAL/2005/24529b RADPRED 2010 1st Workshop 14-15 January
OMERE softwareAn engineering tool.
A. Varotsou
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OMERE software: an engineering tool
The project
�Since 1999.
�TRAD development with CNES support.
�Freeware for radiation effects on electronics.
�Conceived to meet industrial requirements.
� Integrates ONERA models.
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OMERE software: an engineering tool
The partnership
TAS
ASTRIUM
ONERA
CNES
MERE
TRAD
CEA
ESA
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OMERE software: an engineering tool
The users
Europe
Asia
America
Oceania
non identified16Italy
17Germany
19GB
24USA
64France
� Countries with the higher number of users:
0 20 40 60 80 100 120 140
non-identified
Space Agencies
Universities, Institutes,Research Centers
Private companies
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SER calculation method using OMERE
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Define the radiation environment
• Trapped protons: AP8 model
• Solar protons and ions:� Proton statistical models: ESP, JPL91, SOLPRO, SPOF
� Solar flare protons: August ’72, October ’89 and ’03 and July ’00 – worst hour and worst 5 minutes
� Solar flare ions: CREME models and IOFLAR
• Cosmic ray ions:� CREME models and GCR ISO
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Define the radiation environment
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Define the radiation environment
LET Spectrum for the mission LET Spectrum along the orbit
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Define the radiation environment
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Single Event Rate calculation
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Single Event Rate calculation
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Single Event Rate calculation
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Single Event Rate calculation
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Single Event Rate calculation
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SER calculation output
• Periodic calculation along the orbit• SEE rate for the mission
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Summary : OMERE…
• is an easy-to-use engineering tool allowing to estimate SER for ions and protons (CREME package).
• combines space environment specification modules with radiation effects calculation modules.
• allows the use of a component data base.
• performs multi-component and multi-mission batch calculations.
• can be used to perform studies on the influence of involved parameters on the SER calculation (see poster: Influence of involved parameters on SEE rate prediction based on the RPP concept)
• OMERE is a constantly evolving tool to meet industry’s requirements.
Download OMERE at: http://www.trad.fr/OMERE-Softwar e.html
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Possible improvementsof the SEE rate calculation
P.F. PEYRARD
RADPRED 2010 1st Workshop 14-15 January 27
Engineering tools for future improvements
The current engineering approach relies on strong assumptions:
1.Simplification of the shielding contribution of the mechanical system around the component (1.g.cm-2 and isotropic) .
2.RPP method (LET remains unchanged in the SV)
► Existing radiation tools developed for other radiation effect (Dose, DDEF) can be used to improve the calculation.
► The general principle of a first upgrade would be :1. To take into account a « realistic » model of the system.2. To track the particles in this 3D model up to the component3. Compute the deposited charges in the sensitive region(s) of the die.
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Engineering tools for future SEE methods
� Geometry description (FASTRAD):
More example on www.fastrad.net
Satellite level (CNES courtesy)
Equipment level
Part level
⇒⇒⇒⇒ Transmitted spectrum at the part level (reverse Monte Carlo?)
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Engineering tools for future SEE methods
At the die level:The 3D Monte-Carlo calculation to compute the deposited energy.
FASTRAD forward electron Monte Carlo (CNES-TRAD)
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Conclusion, open points
• SEE analysis at Unit level - Engineering Requirements
• Estimate the in-flight SER using ground testing data.
• SER calculation method has to deal with limited inp ut data.
• The method must be approved by the space community
• engineering tool :
• easy user interface
• time efficient approach