Edward Petersen

Single Event Effects in Aerosp

• Gebundenes Buch

Produktbeschreibung

This book introduces the basic concepts necessary to understand Single Event phenomena which could cause random performance errors and catastrophic failures to electronics devices. As miniaturization of electronics components advances, electronics components are more susceptible in the radiation environment. The book includes a discussion of the radiation environments in space and in the atmosphere, radiation rate prediction depending on the orbit to allow electronics engineers to design and select radiation tolerant components and systems, and single event prediction.

---

Enables readers to better understand, calculate, and manage single event effects
Single event effects, caused by single ionizing particles that penetrate sensitive nodes within an electronic device, can lead to anything from annoying system responses to catastrophic system failures. As electronic components continue to become smaller and smaller due to advances in miniaturization, electronic components designed for avionics are increasingly susceptible to these single event phenomena. With this book in hand, readers learn the core concepts needed to understand, predict, and manage disruptive and potentially damaging single event effects.
Setting the foundation, the book begins with a discussion of the radiation environments in space and in the atmosphere. Next, the book draws together and analyzes some thirty years of findings and best practices reported in the literature, exploring such critical topics as:
Design of heavy ion and proton experiments to optimize the data needed for single event predictions
Data qualification and analysis, including multiple bit upset and parametric studies of device sensitivity
Pros and cons of different approaches to heavy ion, proton, and neutron rate predictions
Results of experiments that have tested space predictions
Single Event Effects in Aerospace is recommended for engineers who design or fabricate parts, subsystems, or systems used in avionics, missile, or satellite applications. It not only provides them with a current understanding of single event effects, it also enables them to predict single event rates in aerospace environments in order to make needed design adjustments.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 520
• Erscheinungstermin: 4. Oktober 2011
• Englisch
• Abmessung: 240mm x 161mm x 32mm
• Gewicht: 843g
• ISBN-13: 9780470767498
• ISBN-10: 0470767499
• Artikelnr.: 31187302

Autorenporträt

EDWARD PETERSEN, PhD, worked for the Naval Research Laboratory from 1969 to 1993. Since then, he has served as a consultant. Dr. Petersen's research has focused on estimating upset rates for satellite systems. His work has shown that measurements of space upset rates are consistent with predictions based on laboratory experiments. He has authored or coauthored sixty papers on radiation effects, the majority dealing with single event effects. An IEEE Fellow, Dr. Petersen was the recipient of the IEEE Nuclear and Plasma Sciences Society Radiation Effects Award.

Inhaltsangabe

1. Introduction 1
1.1 Background 1
1.2 Analysis of Single Event Experiments 7
1.2.1 Analysis of Data Integrity and Initial Data Corrections 7
1.2.2 Analysis of Charge Collection Experiments 7
1.2.3 Analysis of Device Characteristics from Cross-Section Data 7
1.2.4 Analysis of Parametric Studies of Device Sensitivity 8
1.3 Modeling Space and Avionics See Rates 8
1.3.1 Modeling the Radiation Environment at the Device 8
1.3.2 Modeling the Charge Collection at the Device 9
1.3.3 Modeling the Electrical Characteristic and Circuit Sensitivity for
Upset 9
1.4 Overview of this Book 10
1.5 Scope of this Book 11
2. Foundations of Single Event Analysis and Prediction 13
2.1 Overview of Single Particle Effects 13
2.2 Particle Energy Deposition 15
2.3 Single Event Environments 18
2.3.1 The Solar Wind and the Solar Cycle 19
2.3.2 The Magnetosphere Cosmic Ray and Trapped Particle Motion 22
2.3.3 Galactic Cosmic Rays 24
2.3.4 Protons Trapped by the Earth's Magnetic Fields 42
2.3.5 Solar Events 46
2.3.6 Ionization in the Atmosphere 48
2.4 Charge Collection and Upset 58
2.5 Effective Let 60
2.6 Charge Collection Volume and the Rectangular Parallelepiped (RPP) 61
2.7 Upset Cross Section Curves 62
2.8 Critical Charge 62
2.8.1 Critical Charge and LET Threshold 63
2.8.2 Critical Charge of an Individual Transistor Two Transistors in a Cell
64
2.8.3 Critical Charge from Circuit Modeling Studies 65
2.8.4 Sensitivity Distribution Across the Device 65
2.8.5 Intracell Variation 66
2.8.6 Summary Discussion of Critical Charge 66
2.9 Upset Sensitivity and Feature Size 67
2.10 Cross-Section Concepts 67
2.10.1 Nuclear Physics Cross-Section Concepts 67
2.10.2 Single Event Cross-Section Concepts 72
3. Optimizing Heavy Ion Experiments for Analysis 77
3.1 Sample Heavy Ion Data 78
3.2 Test Requirements 78
3.3 Curve Parameters 80
3.4 Angular Steps 85
3.5 Stopping Data Accumulation When You Reach the Saturation Cross Section
86
3.6 Device Shadowing Effects 88
3.7 Choice of Ions 89
3.8 Determining the LET in the Device 91
3.9 Energy Loss Spread 94
3.10 Data Requirements 95
3.10.1 Desired Precision 95
3.10.2 Desired Accuracy 97
3.11 Experimental Statistics and Uncertainties 97
3.12 Effect of Dual Thresholds 98
3.13 Fitting Cross-Section Data 99
3.14 Other Sources of Error and Uncertainties 101
4. Optimizing Proton Testing 103
4.1 Monitoring the Beam Intensity and Uniformity 103
4.2 Total Dose Limitations on Testing 104
4.3 Shape of the Cross-Section Curve 105
5. Data Qualification and Interpretation 111
5.1 Data Characteristics 111
5.1.1 Illegitimate Systematic and Random Errors 111
5.1.2 Inherent Random Errors 113
5.1.3 Fractional Standard Deviation of Your Data 117
5.1.4 Rejection of Data 119
5.2 Approaches to Problem Data 121
5.2.1 Examination of Systematic Errors 121
5.2.2 An Example of Voltage Variation 134
5.2.3 Data Inconsistent with LET 135
5.2.4 Beam Contamination 135
5.2.5 No Event Observed 138
5.2.6 Sloppy or Wrong Fits to the Data 139
5.2.7 Experiment Monitoring and Planning 141
5.3 Interpretation of Heavy Ion Experiments 142
5.3.1 Modification of Effective LET by the Funnel 142
5.3.2 Effects of True RPP Shape 144
5.3.3 Fitting Data to Determine Depth and Funnel Length 149
5.3.4 Deep Device Structures 152
5.3.5 Cross-Section Curves on Rotated RPP Structures 156
5.3.6 Charge Gain Effects on Cross Section 157
5.4 Possible Problems with Least Square Fitting Using the Weibull Function
158
5.4.1 Multiple Good Fits 158
5.4.2 Reason for Inconsistent Weibull Fitting 162
6. Analysis of Various Types of SEU Data 165
6.1 Critical Charge 165
6.2 Depth and Critical Charge 166
6.3 Charge Collection Mechanisms 168
6.3.1 Drift Process and Funneling 168
6.3.2 Diffusion Process 168
6.3.3 Plasma Wire Effect 169
6.3.4 ALPHEN (Alpha-Particle-Source-Drain Penetration Effect) 169
6.3.5 Bipolar Transistor Effect 169
6.3.6 Recombination Effects 169
6.4 Charge Collection and the Cross-Section Curve 170
6.4.1 CMOS 170
6.4.2 Hardened CMOS 171
6.4.3 Bipolar Devices 171
6.4.4 CMOS-SOI 172
6.4.5 NMOS-Depletion Load 172
6.4.6 NMOS-Resistive Load 172
6.4.7 GaAs HFETs 173
6.4.8 GaAs C-Higfet 173
6.4.9 VLSI Process Variation 173
6.5 Efficacy (Variation of SEU Sensitivity within a Cell) 174
6.5.1 Cross-Section and Efficacy Curves 174
6.5.2 SEU Efficacy as a Function of Area 176
6.5.3 Efficacy and SEU Sensitivity Derived from a Pulsed Laser SEU
Experiment 178
6.6 Mixed-Mode Simulations 185
6.6.1 Warren Approach 186
6.6.2 Dodd Approach 188
6.6.3 Hirose Approach 189
6.6.4 Simplified Approach of Fulkerson 189
6.6.5 The Imax F (Tmax) Approach 190
6.6.6 Circuit Level Simulation to Upset Rate Calculations 194
6.6.7 Multiple Upset Regions 194
6.6.8 Efficacy and SEU Threshold 195
6.6.9 From Efficacy to Upset Rates 197
6.7 Parametric Studies of Device Sensitivity 198
6.7.1 Data Display and Fitting 198
6.7.2 Device Parameters and SEU Sensitivity 202
6.8 Influence of Ion Species and Energy 215
6.9 Device Geometry and the Limiting Cross Section 218
6.9.1 Bulk CMOS 218
6.9.2 CMOS/SOI 218
6.9.3 SRAMs 219
6.10 Track Size Effects 220
6.11 Cross-Section Curves and the Charge Collection Processes 221
6.11.1 Efficacy Curves and the Charge-Collection Process 222
6.11.2 Inverse LET Plots and Diffusion 225
6.12 Single Event Multiple-Bit Upset 226
6.12.1 Strictly Geometrical MBUs 227
6.12.2 Proton Induced Multibit Upsets 230
6.12.3 Dual Hits for Single-Bit Upset 231
6.12.4 MBU Due to Diffusion in DRAMs 231
6.12.5 Hits to Adjacent Sensitive Regions 236
6.12.6 Multibit Upset in FPGAs 236
6.12.7 Calculation of Upset Rate for Diffusion MBUs 237
6.12.8 Geometrical MBE Rates in EDAC Words 238
6.12.9 Statistical MBE Rates in the Space
Environment 240
6.12.10Impact of Geometrical Errors on System Performance 243
6.12.11Statistical MBUs in a Test Environment 246
6.13 SEU in Logic Systems 246
6.14 Transient Pulses 249
7. Cosmic Ray Single Event Rate Calculations 251
7.1 Introduction to Rate Prediction Methods 252
7.2 The RPP Approach to Heavy Ion Upset Rates 252
7.3 The Integral RPP Approach 260
7.4 Shape of the Cross-Section Curve 264
7.4.1 The Weibull Distribution 264
7.4.2 Lognormal Distributions 266
7.4.3 Exponential Distributions 267
7.5 Assumptions Behind the RPP and IRPP Methods 270
7.5.1 Device Interaction Models 270
7.5.2 Critical Charge 270
7.5.3 Mathematical Basis of Rate Equations 271
7.5.4 Chord Length Models 274
7.5.5 Bradford Formulation 276
7.5.6 Pickel Formulation 279
7.5.7 Adams Formulation 280
7.5.8 Formulation of Integral RPP Approach 282
7.5.9 HICCUP Model 284
7.5.10 Requirements for Use of IRPP 285
7.6 Effective Flux Approach 285
7.7 Upper Bound Approaches 287
7.8 Figure of Merit Upset Rate Equations 288
7.9 Generalized Figure of Merit 290
7.9.1 Correlation of the FOM with Geosynchronous Upset Rates 291
7.9.2 Determination of Device Parameters 294
7.9.3 Calculation of the Figure of Merit from Tabulated Parts
Characteristics 295
7.9.4 Rate Coefficient Behind Shielding 298
7.10 The FOM and the LOG Normal Distribution 299
7.11 Monte Carlo Approaches 300
7.11.1 IBM Code 300
7.11.2 GEANT4 300
7.11.3 Neutron Induced 301
7.12 PRIVIT 302
7.13 Integral Flux Method 302
8. Proton Single Event Rate Calculations 305
8.1 Nuclear Reaction Analysis 306
8.1.1 Monte Carlo Calculations 310
8.1.2 Predictions of Proton Upset Cross Sections Based on Heavy Ion Data
311
8.2 Semiempirical Approaches and the Integral Cross-Section Calculation 313
8.3 Relationship of Proton and Heavy Ion Upsets 316
8.4 Correlation of the FOM with Proton Upset Cross Sections 317
8.5 Upsets Due to Rare High Energy Proton Reactions 318
8.6 Upset Due to Ionization by Stopping Protons Helium Ions and Iron Ions
320
9. Neutron Induced Upset 329
9.1 Neutron Upsets in Avionics 330
9.1.1 BGR Calculation 330
9.1.2 Integral Cross-Section Calculation 331
9.1.3 Figure of Merit Calculation 332
9.1.4 Upper Bound Approach 333
9.1.5 Exposure During Flights 334
9.2 Upsets at Ground Level 335
10. Upsets Produced by Heavy Ion Nuclear Reactions 337
10.1 Heavy Ion Nuclear Reactions 337
10.2 Upset Rate Calculations for Combined Ionization and Reactions 340
10.3 Heavy Nuclear Ion Reactions Summary 342
11. Samples of Heavy Ion Rate Prediction 345
11.1 Low Threshold Studies 345
11.2 Comparison of Upset Rates for Weibull and Lognormal Functions 347
11.3 Low Threshold-Medium Lc data 352
11.4 See Sensitivity and LET Thresholds 353
11.5 Choosing Area and Depth for Rate Calculations 360
11.5.1 SOI Devices 360
11.5.2 Inclusion of Funnel in CREME Calculation 361
11.6 Running CREME96 Type Codes 361
11.6.1 CREME96/FLUX 363
11.6.2 CREME96/TRANS 364
11.6.3 CREME96/LETSPEC 364
11.6.4 CREME96/HUP 365
11.6.5 CREME96 Results 366
11.7 CREME-MC and SPENVIS 367
11.8 Effect of Uncertainties in Cross Section on Upset Rates 368
12. Samples of Proton Rate Predictions 371
12.1 Trapped Protons 371
12.2 Correlation of the FOM with Proton Upset Rates 371
13. Combined Environments 375
13.1 Relative Proton and Cosmic Ray Upset Rates 375
13.2 Calculation of Combined Rates Using the Figure of Merit 375
13.3 Rate Coefficients for a Particular New Orbit 380
13.4 Rate Coefficients for Any Circular Orbit About the Earth 381
13.5 Ratio of Proton to Heavy Ion Upsets for Near Earth Circular Orbits 381
13.6 Single Events from Ground to Outer Space 383
14. Samples of Solar Events and Extreme Situations 389
15. Upset Rates in Neutral Particle Beam (NPB) Environments 395
15.1 Characteristics of NPB Weapons 395
15.2 Upsets in the NPB Beam 397
16. Predictions and Observations of SEU Rates in Space 401
16.1 Results of Space Observations 402
16.2 Environmental Uncertainties 413
16.3 Examination of Outliers 417
16.4 Possible Reasons for Poor Upset Rate Predictions 418
16.5 Constituents of a Good Rate Comparison Paper 420
16.5.1 Reports on Laboratory and Space Measurements 421
16.5.2 Analysis of Ground Measurements 422
16.5.3 Environment for Space Predictions 422
16.5.4 Upset Rate Calculations 423
16.5.5 Characteristics of Space Experiment and Data 424
16.6 Summary and Conclusions 425
16.7 Recent Comparisons 427
16.8 Comparisons with Events During Solar Activity 427
17. Limitations of the IRPP Approach 429
17.1 The IRPP and Deep Devices 429
17.2 The RPP When Two Hits are Required 430
17.3 The RPP Approaches Neglect Track Size 430
17.4 The IRPP Calculates Number of Events not Total Number of Upsets 431
17.5 The RPP Approaches Neglect Effects that Arise Outside the Sensitive
Volume 431
17.6 The IRPP Approaches Assume that the Effect of Different
Particles with the Same LET is Equivalent 431
17.7 The IRPP Approaches Assume that the LET of the Particle is not
Changing in the Sensitive Volume 432
17.8 The IRPP Approach Assumes that the Charge Collection Does Not Change
with Device Orientation 433
17.9 The Status of Single Event Rate Analysis 433
Appendix A Useful Numbers 435
Appendix B Reference Equations 437
Appendix C Quick Estimates of Upset Rates Using the Figure of Merit 445
Appendix D Part Characteristics 448
Appendix E Sources of Device Data 452
References 455
Author Index 489
Subject Index 495