Chatry Nathalie , Varotsou Athina , Peyrard Pierre-François · QUAL/2005/24529b RADPRED 2010 1st Workshop 14-15 January Engineering approach and tools. Chatry Nathalie , Varotsou

QUAL/2005/24529b RADPRED 2010 1st Workshop 14-15 January

Engineering approach and tools.

Chatry Nathalie, Varotsou Athina, Peyrard Pierre-François

RADPRED 2010 1st Workshop 14-15 January 2

OUTLINE

1. SEE analysis: An engineering approach

2. OMERE : Space Environment & SEE modules

3. Possible improvements.


SEE analysisAn engineering approach

N. Chatry


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



• 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)



• 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



• 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)



• 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



• 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 ?


OMERE softwareAn engineering tool.

A. Varotsou


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.



The partnership

TAS

ASTRIUM

ONERA

CNES

MERE

TRAD

CEA

ESA



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


SER calculation method using OMERE


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





LET Spectrum for the mission LET Spectrum along the orbit




Single Event Rate calculation










SER calculation output

• Periodic calculation along the orbit• SEE rate for the mission


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


Possible improvementsof the SEE rate calculation

P.F. PEYRARD


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.


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?)


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)


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

Documents

Chatry Nathalie , Varotsou Athina , Peyrard Pierre-François · QUAL/2005/24529b RADPRED 2010 1st Workshop 14-15 January Engineering approach and tools. Chatry Nathalie , Varotsou