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 |
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 | ||
|
Proceedings of the Fourth Italian Conference on Computational Linguistics CLiC-it 2017 : 11-12 December 2017, Rome / / Roberto Basili, Malvina Nissim, Giorgio Satta |
Autore | Albanesi Davide |
Pubbl/distr/stampa | Torino, : Accademia University Press, 2018 |
Descrizione fisica | 1 online resource (337 p.) |
Altri autori (Persone) |
AmoreMatteo
AprosioAlessio Palmero BarlacchiGianni BasileAngelo BasilePierpaolo BasiliRoberto BeghelliMarco BeghiniFederica BellandiAndrea BellomariaValentina BentivogliLuisa BianchiniAlessia BizzoniYuri BonadimanDaniele BondielliAlessandro BoscoCristina BourgonjePeter BraccoGiulia BrambillaSilvia BrandettiGiulia BudassiMarco BuggeNiels J BussoLucia CardilloFranco Alberto CarrinoCasimiro CaselliTommaso CassottiPierluigi CastellucciGiuseppe CelliFabio Cerezo-CostasHéctor CervoneAlessandra ChesiCristiano CignettiLuca CiminoAndrea CipollaEmanuele CombeiClaudia Roberta ConteGiorgia CrestaniFabio CristadoroGiampaolo CroceDanilo CutugnoFrancesco DamianoRossana DattiloDavid Della MorettaFrancesca Dell’OrlettaFelice DemartiniSilvia De MartinoMaria De MicheleFrancesco di BuonoMaria Pia Di GangiMattia A Di IorioUgo Di MauroDario Di NunzioGiorgio Maria FaillaPierluigi FavalliAndrea FedericoMarcello FeltraccoAnna FerroMarcello Fiori NastroFederico Fiori NastroPaolo FornaraSimone FrendaSimona GabboliniAnna GiachanouAnastasia GiovannettiEmiliano GiuliviSara González-CastañoF.J GoyAnna GregoriLorenzo GrishinaYulia GuadalupiMariafrancesca HenrotGeneviève Hernández FaríasDelia Irazú JezekElisabetta LaganàIrene LakewSurafel M LaudannaAlessandro LenciAlessandro LepriBruno LittaEleonora Li PiraStefano LombardoVincenzo MagniniBernardo MaistoAlessandro MancusoAzzurra MarcelloFederico Martín-VicenteManuela MarziClaudia MasottiCaterina MazzeiAlessandro MazzonMarco MeniniStefano MichelChantal MicheliSilvia MinardAnne-Lyse MirtoIgnazio Mauro MontemagniSimonetta MontiJohanna MorettiGiovanni MoschittiAlessandro NanniFederico NissimMalvina OrigliaAntonio PannittoLudovica PassaroLucia C PassarottiMarco PattiViviana PelosiSerena PiattiAris PiersantiMarco PietrandreaPaola PirrelliVito PizzoAntonio PolettoFabio PonzettoSimone Paolo PuccinelliDaniele QwaiderMohammed R. H RangelFrancisco RavelliAndrea Amelio RiccardiGiuseppe RomagnoliRaniero RossoPaolo RoveraMarco SalicchiLavinia SalomoniAlessio SangatiFederico SanguinettiManuela SattaGiorgio ScansaniRandy SchmidtStefanie J Schultze-LutterFrauke SemeraroGiovanni SenaldiMarco S. G ŠnajderJan SperanzaManuela SprugnoliRachele StedeManfred StepanovEvgeny A StorchValerio StranisciMarco SucameliIrene TamburiniFabio TarasconiFrancesco Teresa CignarellaAlessandra TonelliSara TripodiRocco UnguendoliFrancesco UvaAntonio VentaglioRaffaella VenturiGiulia VezzaniFederica VietriSimonetta VignozziGianmarco VitalePierluigi WielingMartijn |
Soggetto topico |
History & Philosophy Of Science
linguistica computazionale elaborazione del linguaggio naturale umanistica digitale linguaggio tecnologia intelligenza artificiale elaborazione del testo linguistique computationelle traitement du langage naturel langue technologie intelligence artificielle traitement de texte Computational Linguistics natural language processing digital humenities language tecnology artificial intelligence text processing |
Soggetto non controllato |
text processing
digital humenities natural language processing Computational Linguistics language tecnology artificial intelligence |
ISBN | 88-99982-94-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910275029203321 |
Albanesi Davide | ||
Torino, : Accademia University Press, 2018 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020 : Bologna, Italy, March 1-3, 2021 / / Felice Dell'Orletta, Johanna Monti, Fabio Tamburini |
Autore | Altuna Begoña |
Pubbl/distr/stampa | Torino, : Accademia University Press, 2021 |
Descrizione fisica | 1 online resource (487 p.) |
Altri autori (Persone) |
AlzettaChiara
AnselmaLuca AntinoriAlessandro AprosioAlessio Palmero ArditoLuca ArgeseChiara BaccoLuca BaisaVít BalaramanVevake Barrón-CedeñoAlberto BasilePierpaolo BasileValerio BasiliRoberto BassignanaElisa BenvenutiNicola BernardiRaffaella BertinoEnrico BiasionDavide BiffiMarco BolioliAndrea BonadimanDaniele BonoraPaolo BoscaAlessio BoscoCristina BrambillaSilvia BrunatoDominique BucurAna-Maria CafagnaMichele CaligioreGaia CappaClaudia CaputoAnnalina CarlinoCarola CaselliTommaso CassottiPierluigi CastagnoliSara CasulaCamilla CecchiniFlavio M CelliFabio CervoneAlessandra ChiusaroliFrancesca ChungYi-Ling CignarellaAlessandra Teresa CiminoAndrea CollaDavide ColtrinariRiccardo ColucciIlaria CorinoElisa CroceDanilo Dell’OrlettaFelice DelsantoMatteo De GemmisMarco De MatteiLorenzo de VardaAndrea Gregor DinuLiviu P di BuonoMaria Pia Di GangiMattia Antonino Di LascioMirko DucretMartina FabrisAlessandro FalcoMariacristina FavalliAndrea FavaroManuel FeldmanAnna FernándezRaquel FernicolaFrancesco FerroMarcello FranziniGreta GabrieliGiuliano GagliardiGloria GaidoMarco GandolfiGreta GarceaFederico GattAlbert GemmisMarco de GiannoneCristina GiuliviSara GregoriLorenzo GualdoniEleonora GueriniMarco HosteVeronique IavaroneBenedetta JezekElisabetta KarakantaAlina KoppStefan KruseLauren LavelliAlberto LenciAlessandro LielloLuca Di LimAlfred LopsPasquale LouvanSamuel MagniniBernardo MambriniFrancesco ManaDario MannaRaffaele MarinoGian Manuel MartinezCarlos MarziClaudia MasiniFrancesca MatteiAndrea MazzeiAlessandro MeniniStefano MensaEnrico MeroneMario MiaschiAlessio MicheliM. Silvia MontemagniSimonetta MontiJohanna MorettiGiovanni MorisioMaurizio MoschittiAlessandro MuffoMatteo MustoCataldo NadaliniAndrea NegriMatteo NissimMalvina NolanoGennaro NuovoElisa Di OliveriIsabeau OnnisLuca OrigliaAntonio OsenovaPetya O’BrienBeth A Palmero AprosioAlessio PapaSirio PascucciAntonio PassarottiMarco PattiViviana PaulonLuca PellegriniMatteo PelosiSerena PengJing PezzelleSandro PierucciMaria Laura PirinenTommi A PirrelliVito PolignanoMarco RadicioniDaniele P RavelliAndrea Amelio RescignoArgentina Anna RiccardiGiuseppe RizzoGiuseppe RobertiPierluigi RoccabrunaGabriel RodellaAnna RomagnoliRaniero RomaniEmma RuggieroGaetana SanguinettiManuela SartiGabriele SemeraroGiovanni SilvelloGianmaria SimeoniRossana SimiMaria SimonielloVincenzo SimovKiril SperanzaGiulia SperanzaManuela SpilloGiuseppe SprugnoliRachele StrapparavaCarlo SucameliIrene SuozziAlice SustoGian Antonio TamburiniFabio TaxitariLoukia TekiroğluSerra Sinem TestoniAlberto TonelliSara TripodiRocco TrosterudTrond TurchiMarco UvaAntonio VanmassenhoveEva VarvaraRossella VassalloMarco VenturiGiulia VigorelliPietro VitalePierluigi WayAndy WiechetekLinda YavuzMehmet Can ZampedriFederica ZaninelloAndrea ZanoliRoberto ZarinoWanda Punzi ZhangShibingfeng Dell'OrlettaFelice |
Collana | Collana dell'Associazione Italiana di Linguistica Computazionale |
Soggetto topico |
Linguistics
Computational Linguistics Fine-grained sentiment analysis Distributional Semantics Quantitative Linguistic Investigations Gender Bias Depression from Social Media Online Hate Speech Automatic Sarcasm Detection TrAVaSI AriEmozione AEREST COVID-19 Linguistic Ostracism in Social Networks Multilingual NLU E3C Project DistilBERT Twitter during Pandemic |
Soggetto non controllato |
Computational Linguistics
Fine-grained sentiment analysis Distributional Semantics Quantitative Linguistic Investigations Gender Bias Depression from Social Media Online Hate Speech Automatic Sarcasm Detection TrAVaSI AriEmozione AEREST COVID-1 |
ISBN | 979-1-280-13633-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020 |
Record Nr. | UNINA-9910495994903321 |
Altuna Begoña | ||
Torino, : Accademia University Press, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|