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Monte Carlo N-Particle Simulations for Nuclear Detection and Safeguards : An Examples-Based Guide for Students and Practitioners
| Monte Carlo N-Particle Simulations for Nuclear Detection and Safeguards : An Examples-Based Guide for Students and Practitioners |
| Autore | Hendricks John S |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 539.7 |
| Altri autori (Persone) |
SwinhoeMartyn T
FavalliAndrea |
| Soggetto topico | Nuclear physics |
| ISBN | 3-031-04129-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of contents: Contents 4 Introduction 8 Section 1: Basic Concepts 26 1.1.8 Lattice Geometries 53 1.2.6 Electron stopping powers for coupled photon and electron problems . 57 1.2.7 Data and models for Ions and Charged Particles 61 1.2.8 Additional data diagnostics and recommendations 62 1.3 Sources 63 1.3.1 SDEF Fixed Sources .63 1.3.2 SDEF Source Distributions 66 1.3.3 SDEF Dependent Distributions: DS 69 1.3.4 Criticality Sources 71 1.3.5 Surface Source Read and Write (SSR, SSW) 77 1.3.6 Checking sources 87 1.4 Output and Tallies 87 1.4.1 Output Files 87 1.4.2 MCNP Estimators and Tally Types 93 DRAFT 5 1.4.3 Basic Tally Format 95 1.4.4 Special Tally Treatments 111 1.4.5 Pulse-Height Tallies. 128 1.4.6 Point Detectors and Next-Event Estimators 134 1.5 Plotting 143 1.5.1 Geometry Plotting and Command Files143 1.5.2 Cross Section plotting 145 1.5.3 Tally Plotting 150 1.5.4 Mesh, Radiography, and Ring Tallies 167 1.6 Statistics and Convergence 186 Section 2: Examples for nuclear safeguards applications 198 2.1 Example 1: Fuel Assembly in Water Tank 198 2.1.1 Description 198 2.1.2 Geometry description 203 2.1.3 Other data: sources, materials, tallies, and more 204 2.1.4 MCNP Output 206 2.2 Example 2: Coincidence Counter with F4 and F8 Tallies for Coincidence and Multiplicity Counting Rates 207 2.2.1 Description 207 2.2.2 Materials 212 2.2.3 Source 212 2.2.4 Tallies 213 2.2.5 Warning Messages 214 2.2.6 Results 216 2.2.6A: From the Point Model. 216 2.2.6B: Rates Calculated without Point Model assumptions 221 2.3 Gamma pulse height (to be completed) 227 2.4 Active Neutron Example: Cf Shuffler. 231 2.4.1 Description and input file. 231 2.4.2 Results 234 Section 3: Examples of Advanced Concepts 240 Section 3.1 Variance Reduction 240 3.1.1 Introduction 240 DRAFT 6 3.1.2 Multigroup Weight Windows and Time Splitting: Lead Slowing Down Spectrometer 242 3.1.2.1 Input File Notes 253 3.1.2.2 Variance Reduction Step 1: simplify problem and add weight window generator 256 3.1.2.3 Iteration 2 .261 3.1.2.4 Additional iterations 263 3.1.2.5 Cylindrical Mesh Weight Window Summary 267 3.1.3 Cell-based weight windows for the Lead Slowing Down Spectrometer 271 3.1.4 Time splitting 277 3.1.5 Variance Reduction for the Cf Shuffler. 280 3.1.5.1 Cf Shuffler modified input 280 3.1.5.2 Particle production bias, time splitting, and windows 285 3.1.5.3 Analysis of Cf Shuffler Variance Reduction 288 3.2 DXTRAN and Other Capabilities for Distributed Source Problems 288 3.2.1 UF6 Cask Model 290 3.2.2 DXTRAN 300 3.2.3 Source Position Biasing 307 3.2.4 Best Single Detector Solution 310 3.3 Neutron Detector Operation in More Detail. 318 3.3.1 Introduction 318 (i) Make reaction products (model, data) and recoil nuclei 318 (ii) Track created particles in real gas composition 321 (iii) Tally energy deposition of particles in active volume (F8 CAP EDEP for coincidence/multiplicity counting) 322 Examples 322 3He detector Pulse Height. 322 3He Detector Coincidence Calculation 324 10B-lined detectors 325 References 332 Section 4: Additional Topics 332 4.1 Troubleshooting or "How can I be confident in the results?" 332 4.1.1 Geometry and Materials. 333 4.1.2 Detector modelling 334 DRAFT 7 4.1.3 Source modelling 334 4.1.4 Sample modelling 335 4.1.5 Tracking limitations 335 4.1.6 Nuclear Data 335 4.1.7 Statistics 336 4.1.8 User .337 4.1.9 Summary and Conclusions - What to do?. 337 4.2.1 Analysis of Delayed Neutron Production 338 4.2.2 Comparison of Table Physics vs Model Physics 342 5 References and Bibliography. 354 6 Table of Figures 355. |
| Record Nr. | UNISA-996490349803316 |
Hendricks John S
|
||
| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Monte Carlo N-Particle Simulations for Nuclear Detection and Safeguards : An Examples-Based Guide for Students and Practitioners
| Monte Carlo N-Particle Simulations for Nuclear Detection and Safeguards : An Examples-Based Guide for Students and Practitioners |
| Autore | Hendricks John S |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (316 pages) |
| Disciplina | 539.7 |
| Altri autori (Persone) |
SwinhoeMartyn T
FavalliAndrea |
| Soggetto topico | Nuclear physics |
| ISBN | 3-031-04129-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Table of contents: Contents 4 Introduction 8 Section 1: Basic Concepts 26 1.1.8 Lattice Geometries 53 1.2.6 Electron stopping powers for coupled photon and electron problems . 57 1.2.7 Data and models for Ions and Charged Particles 61 1.2.8 Additional data diagnostics and recommendations 62 1.3 Sources 63 1.3.1 SDEF Fixed Sources .63 1.3.2 SDEF Source Distributions 66 1.3.3 SDEF Dependent Distributions: DS 69 1.3.4 Criticality Sources 71 1.3.5 Surface Source Read and Write (SSR, SSW) 77 1.3.6 Checking sources 87 1.4 Output and Tallies 87 1.4.1 Output Files 87 1.4.2 MCNP Estimators and Tally Types 93 DRAFT 5 1.4.3 Basic Tally Format 95 1.4.4 Special Tally Treatments 111 1.4.5 Pulse-Height Tallies. 128 1.4.6 Point Detectors and Next-Event Estimators 134 1.5 Plotting 143 1.5.1 Geometry Plotting and Command Files143 1.5.2 Cross Section plotting 145 1.5.3 Tally Plotting 150 1.5.4 Mesh, Radiography, and Ring Tallies 167 1.6 Statistics and Convergence 186 Section 2: Examples for nuclear safeguards applications 198 2.1 Example 1: Fuel Assembly in Water Tank 198 2.1.1 Description 198 2.1.2 Geometry description 203 2.1.3 Other data: sources, materials, tallies, and more 204 2.1.4 MCNP Output 206 2.2 Example 2: Coincidence Counter with F4 and F8 Tallies for Coincidence and Multiplicity Counting Rates 207 2.2.1 Description 207 2.2.2 Materials 212 2.2.3 Source 212 2.2.4 Tallies 213 2.2.5 Warning Messages 214 2.2.6 Results 216 2.2.6A: From the Point Model. 216 2.2.6B: Rates Calculated without Point Model assumptions 221 2.3 Gamma pulse height (to be completed) 227 2.4 Active Neutron Example: Cf Shuffler. 231 2.4.1 Description and input file. 231 2.4.2 Results 234 Section 3: Examples of Advanced Concepts 240 Section 3.1 Variance Reduction 240 3.1.1 Introduction 240 DRAFT 6 3.1.2 Multigroup Weight Windows and Time Splitting: Lead Slowing Down Spectrometer 242 3.1.2.1 Input File Notes 253 3.1.2.2 Variance Reduction Step 1: simplify problem and add weight window generator 256 3.1.2.3 Iteration 2 .261 3.1.2.4 Additional iterations 263 3.1.2.5 Cylindrical Mesh Weight Window Summary 267 3.1.3 Cell-based weight windows for the Lead Slowing Down Spectrometer 271 3.1.4 Time splitting 277 3.1.5 Variance Reduction for the Cf Shuffler. 280 3.1.5.1 Cf Shuffler modified input 280 3.1.5.2 Particle production bias, time splitting, and windows 285 3.1.5.3 Analysis of Cf Shuffler Variance Reduction 288 3.2 DXTRAN and Other Capabilities for Distributed Source Problems 288 3.2.1 UF6 Cask Model 290 3.2.2 DXTRAN 300 3.2.3 Source Position Biasing 307 3.2.4 Best Single Detector Solution 310 3.3 Neutron Detector Operation in More Detail. 318 3.3.1 Introduction 318 (i) Make reaction products (model, data) and recoil nuclei 318 (ii) Track created particles in real gas composition 321 (iii) Tally energy deposition of particles in active volume (F8 CAP EDEP for coincidence/multiplicity counting) 322 Examples 322 3He detector Pulse Height. 322 3He Detector Coincidence Calculation 324 10B-lined detectors 325 References 332 Section 4: Additional Topics 332 4.1 Troubleshooting or "How can I be confident in the results?" 332 4.1.1 Geometry and Materials. 333 4.1.2 Detector modelling 334 DRAFT 7 4.1.3 Source modelling 334 4.1.4 Sample modelling 335 4.1.5 Tracking limitations 335 4.1.6 Nuclear Data 335 4.1.7 Statistics 336 4.1.8 User .337 4.1.9 Summary and Conclusions - What to do?. 337 4.2.1 Analysis of Delayed Neutron Production 338 4.2.2 Comparison of Table Physics vs Model Physics 342 5 References and Bibliography. 354 6 Table of Figures 355. |
| Record Nr. | UNINA-9910597128603321 |
|
Hendricks John S
|
||
| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||