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 #  AuthorTitleAccn#YearItem Type Claims
11 C??ceres, Manuel Osvaldo Non-equilibrium Statistical Physics with Application to Disordered Systems I10110 2017 eBook  
12 Taylor, Alexander John Analysis of Quantised Vortex Tangle I10040 2017 eBook  
13 Lista, Luca Statistical Methods for Data Analysis in Particle Physics I09963 2016 eBook  
14 Harney, Hanns Ludwig Bayesian Inference I09850 2016 eBook  
15 Vitali, Ettore Theory and Simulation of Random Phenomena I09810 2018 eBook  
16 Kanazawa, Kiyoshi Statistical Mechanics for Athermal Fluctuation I09662 2017 eBook  
17 Roe, Byron P Probability and Statistics in the Physical Sciences I09593 2020 eBook  
18 Cataldo, Andrea Basic Theory and Laboratory Experiments in Measurement and Instrumentation I09499 2020 eBook  
19 Reagan, James R Management 4.0 I09324 2020 eBook  
20 Dunger, Jack Event Classification in Liquid Scintillator Using PMT Hit Patterns I09315 2019 eBook  
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11.    
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TitleNon-equilibrium Statistical Physics with Application to Disordered Systems
Author(s)C??ceres, Manuel Osvaldo
PublicationCham, Springer International Publishing, 2017.
DescriptionXXIV, 556 p. 51 illus : online resource
Abstract NoteThis textbook is the result of the enhancement of several courses on non-equilibrium statistics, stochastic processes, stochastic differential equations, anomalous diffusion and disorder. The target audience includes students of physics, mathematics, biology, chemistry, and engineering at undergraduate and graduate level with a grasp of the basic elements of mathematics and physics of the fourth year of a typical undergraduate course. The little-known physical and mathematical concepts are described in sections and specific exercises throughout the text, as well as in appendices. Physical-mathematical motivation is the main driving force for the development of this text. It presents the academic topics of probability theory and stochastic processes as well as new educational aspects in the presentation of non-equilibrium statistical theory and stochastic differential equations.. In particular it discusses the problem of irreversibility in that context and the dynamics of Fokker-Planck. An introduction on fluctuations around metastable and unstable points are given. It also describes relaxation theory of non-stationary Markov periodic in time systems. The theory of finite and infinite transport in disordered networks, with a discussion of the issue of anomalous diffusion is introduced. Further, it provides the basis for establishing the relationship between quantum aspects of the theory of linear response and the calculation of diffusion coefficients in amorphous systems
ISBN,Price9783319515533
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Engineering Thermodynamics, Heat and Mass Transfer 6. Heat engineering 7. HEAT TRANSFER 8. MASS TRANSFER 9. MATHEMATICAL PHYSICS 10. PHYSICAL CHEMISTRY 11. STATISTICAL PHYSICS 12. Statistical Physics and Dynamical Systems 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics?? 15. THERMODYNAMICS
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12.     
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TitleAnalysis of Quantised Vortex Tangle
Author(s)Taylor, Alexander John
PublicationCham, Springer International Publishing, 2017.
DescriptionXVI, 197 p. 95 illus., 84 illus. in color : online resource
Abstract NoteIn this thesis, the author develops numerical techniques for tracking and characterising the convoluted nodal lines in three-dimensional space, analysing their geometry on the small scale, as well as their global fractality and topological complexity---including knotting---on the large scale. The work is highly visual, and illustrated with many beautiful diagrams revealing this unanticipated aspect of the physics of waves. Linear superpositions of waves create interference patterns, which means in some places they strengthen one another, while in others they completely cancel each other out. This latter phenomenon occurs on 'vortex lines' in three dimensions. In general wave superpositions modelling e.g. chaotic cavity modes, these vortex lines form dense tangles that have never been visualised on the large scale before, and cannot be analysed mathematically by any known techniques.
ISBN,Price9783319485560
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. MATHEMATICAL PHYSICS 4. Numerical and Computational Physics, Simulation 5. PHYSICS 6. Statistical Theory and Methods 7. Statistics?? 8. TOPOLOGY
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I10040     On Shelf    

13.     
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TitleStatistical Methods for Data Analysis in Particle Physics
Author(s)Lista, Luca
PublicationCham, Springer International Publishing, 2016.
DescriptionXIX, 172 p. 63 illus., 59 illus. in color : online resource
Abstract NoteThis concise set of course-based notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of high-energy physics (HEP). First, an introduction to probability theory and basic statistics is given, mainly as reminder from advanced undergraduate studies, yet also in view to clearly distinguish the Frequentist versus Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on upper limits as many applications in HEP concern hypothesis testing, where often the main goal is to provide better and better limits so as to be able to distinguish eventually between competing hypotheses or to rule out some of them altogether. Many worked examples will help newcomers to the field and graduate students to understand the pitfalls in applying theoretical concepts to actual data
ISBN,Price9783319201764
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Elementary particles (Physics) 4. Elementary Particles, Quantum Field Theory 5. Measurement Science and Instrumentation 6. Measurement?????? 7. PHYSICAL MEASUREMENTS 8. QUANTUM FIELD THEORY 9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 10. Statistics??
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14.     
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TitleBayesian Inference : Data Evaluation and Decisions
Author(s)Harney, Hanns Ludwig
PublicationCham, Springer International Publishing, 2016.
DescriptionXIII, 243 p. 39 illus., 3 illus. in color : online resource
Abstract NoteThis new edition offers a comprehensive introduction to the analysis of data using Bayes rule. It generalizes Gaussian error intervals to situations in which the data follow distributions other than Gaussian. This is particularly useful when the observed parameter is barely above the background or the histogram of multiparametric data contains many empty bins, so that the determination of the validity of a theory cannot be based on the chi-squared-criterion. In addition to the solutions of practical problems, this approach provides an epistemic insight: the logic of quantum mechanics is obtained as the logic of unbiased inference from counting data. New sections feature factorizing parameters, commuting parameters, observables in quantum mechanics, the art of fitting with coherent and with incoherent alternatives and fitting with multinomial distribution. Additional problems and examples help deepen the knowledge. Requiring no knowledge of quantum mechanics, the book is written on introductory level, with many examples and exercises, for advanced undergraduate and graduate students in the physical sciences, planning to, or working in, fields such as medical physics, nuclear physics, quantum mechanics, and chaos
ISBN,Price9783319416441
Keyword(s)1. Computational Mathematics and Numerical Analysis 2. Computer mathematics 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Methods in Physics 6. Medical and Radiation Physics 7. Medical physics 8. NUCLEAR PHYSICS 9. Particle and Nuclear Physics 10. PHYSICS 11. PROBABILITIES 12. Probability Theory and Stochastic Processes 13. RADIATION 14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 15. Statistics??
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15.     
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TitleTheory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications
Author(s)Vitali, Ettore;Motta, Mario;Galli, Davide Emilio
PublicationCham, Springer International Publishing, 2018.
DescriptionXIII, 235 p. 5 illus : online resource
Abstract NoteThe purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which typically are presented in textbooks that require a very strong mathematical background. Second, while leading the reader on this journey, it aims to impart the knowledge needed in order to develop algorithms that simulate realistic physical systems. Connections with several fields of pure and applied physics, from quantum mechanics to econophysics, are provided. Furthermore, the inclusion of fully solved exercises will enable the reader to learn quickly and to explore topics not covered in the main text. The book will appeal especially to graduate students wishing to learn how to simulate physical systems and to deepen their knowledge of the mathematical framework, which has very deep connections with modern quantum field theory
ISBN,Price9783319905150
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. Mathematical Applications in the Physical Sciences 4. Mathematical Methods in Physics 5. MATHEMATICAL PHYSICS 6. Numerical and Computational Physics, Simulation 7. PHYSICS 8. PROBABILITIES 9. Probability Theory and Stochastic Processes 10. Statistical Theory and Methods 11. Statistics??
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I09810     On Shelf    

16.     
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TitleStatistical Mechanics for Athermal Fluctuation : Non-Gaussian Noise in Physics
Author(s)Kanazawa, Kiyoshi
PublicationSingapore, Springer Singapore, 2017.
DescriptionXVI, 222 p. 53 illus., 46 illus. in color : online resource
Abstract NoteThe author investigates athermal fluctuation from the viewpoints of statistical mechanics in this thesis. Stochastic methods are theoretically very powerful in describing fluctuation of thermodynamic quantities in small systems on the level of a single trajectory and have been recently developed on the basis of stochastic thermodynamics. This thesis proposes, for the first time, a systematic framework to describe athermal fluctuation, developing stochastic thermodynamics for non-Gaussian processes, while thermal fluctuations are mainly addressed from the viewpoint of Gaussian stochastic processes in most of the conventional studies. First, the book provides an elementary introduction to the stochastic processes and stochastic thermodynamics. The author derives a Langevin-like equation with non-Gaussian noise as a minimal stochastic model for athermal systems, and its analytical solution by developing systematic expansions is shown as the main result. Furthermore, the au thor shows a thermodynamic framework for such non-Gaussian fluctuations, and studies some thermodynamics phenomena, i.e. heat conduction and energy pumping, which shows distinct characteristics from conventional thermodynamics. The theory introduced in the book would be a systematic foundation to describe dynamics of athermal fluctuation quantitatively and to analyze their thermodynamic properties on the basis of stochastic methods
ISBN,Price9789811063329
Keyword(s)1. COMPLEX SYSTEMS 2. DYNAMICAL SYSTEMS 3. EBOOK 4. EBOOK - SPRINGER 5. Mathematical Applications in the Physical Sciences 6. MATHEMATICAL PHYSICS 7. STATISTICAL PHYSICS 8. Statistical Physics and Dynamical Systems 9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 10. Statistics?? 11. THERMODYNAMICS
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17.     
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TitleProbability and Statistics in the Physical Sciences
Author(s)Roe, Byron P
PublicationCham, Springer International Publishing, 2020.
DescriptionXIII, 285 p. 54 illus., 5 illus. in color : online resource
Abstract NoteThis book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students. Focusing on applications and theorems and techniques actually used in experimental research, it includes worked problems with solutions, as well as homework exercises to aid understanding. Suitable for readers with no prior knowledge of statistical techniques, the book comprehensively discusses the topic and features a number of interesting and amusing applications that are often neglected. Providing an introduction to neural net techniques that encompasses deep learning, adversarial neural networks, and boosted decision trees, this new edition includes updated chapters with, for example, additions relating to generating and characteristic functions, Bayes??? theorem, the Feldman-Cousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems
ISBN,Price9783030536947
Keyword(s)1. ASTRONOMY 2. Astronomy, Astrophysics and Cosmology 3. ASTROPHYSICS 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Mathematical Methods in Physics 9. NUCLEAR PHYSICS 10. Particle and Nuclear Physics 11. PHYSICS 12. Sociophysics 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics??
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18.     
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TitleBasic Theory and Laboratory Experiments in Measurement and Instrumentation : A Practice-Oriented Guide
Author(s)Cataldo, Andrea;Giaquinto, Nicola;De Benedetto, Egidio;Masciullo, Antonio;Cannazza, Giuseppe;Lorenzo, Ilaria;Nicolazzo, Jacopo;Meo, Maria Teresa;De Monte, Alessando;Parisi, Gianluca;Gaetani, Federico
PublicationCham, Springer International Publishing, 2020.
DescriptionXIV, 191 p. 168 illus., 41 illus. in color : online resource
Abstract NoteThis textbook offers a unique compendium of measurement procedures for experimental data acquisition. After introducing readers to the basic theory of uncertainty evaluation in measurements, it shows how to apply it in practice to conduct a range of laboratory experiments with instruments and procedures operating both in the time and frequency domains. Offering extensive practical information and hands-on tips on using oscilloscopes, spectrum analyzers and reflectometric instrumentation, the book shows readers how to deal with e.g. filter characterization, operational amplifiers, digital and analogic spectral analysis, and reflectometry-based measurements. For each experiment, it describes the corresponding uncertainty evaluation in detail. Bridging the gap between theory and practice, the book offers a unique, self-contained guide for engineering students and professionals alike. It also provides university teachers and professors with a valuable resource for their laboratory courses on electric and electronic measurements
ISBN,Price9783030467401
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. ELECTRONICS 4. Electronics and Microelectronics, Instrumentation 5. Measurement Science and Instrumentation 6. Measurement?????? 7. MICROELECTRONICS 8. PHYSICAL MEASUREMENTS 9. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 10. Statistics??
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I09499     On Shelf    

19.     
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TitleManagement 4.0 : Cases and Methods for the 4th Industrial Revolution
Author(s)Reagan, James R;Singh, Madhusudan
PublicationSingapore, Springer Singapore, 2020.
DescriptionXVII, 175 p. 61 illus. in color : online resource
Abstract NoteThis book provides a comprehensive review of industry 4.0 and its applications, discussing the history of industry evaluation, including industry 1.0, 2.0, 3.0 and 4.0, and the future structure of industry evaluation. It also examines the effects and impact of various technologies in industry and presents new interdisciplinary business models based on advanced technologies with the help of use cases. Lastly, it highlights the benefits of technological implementation in industry using examples of real-world applications, providing a robust and reliable technological conceptual framework and roadmap for decision-makers in all areas of industry involved transformation.
ISBN,Price9789811567513
Keyword(s)1. AUTOMATION 2. COMPUTER ENGINEERING 3. Cyber-physical systems, IoT 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Embedded computer systems 9. INDUSTRIAL MANAGEMENT 10. Innovation/Technology Management 11. Internet of things 12. MANAGEMENT 13. ROBOTICS 14. Robotics and Automation 15. Sociophysics 16. Statistics for Business, Management, Economics, Finance, Insurance 17. Statistics??
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I09324     On Shelf    

20.    
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TitleEvent Classification in Liquid Scintillator Using PMT Hit Patterns : for Neutrinoless Double Beta Decay Searches
Author(s)Dunger, Jack
PublicationCham, Springer International Publishing, 2019.
DescriptionXVII, 223 p. 166 illus., 102 illus. in color : online resource
Abstract NoteThe search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages. One promising experimental approach involves the use of large volumes of isotope-loaded liquid scintillator, but new techniques for background identification and suppression must be developed in order to reach the required sensitivity levels and clearly distinguish the signal. The results from this thesis constitute a significant advance in this area, laying the groundwork for several highly effective and novel approaches based on a detailed evaluation of state-of-the-art detector characteristics. This well written thesis includes a particularly clear and comprehensive description of the theoretical motivations as well as impressively demonstrating the effective use of diverse statistical techniques. The professionally constructed signal extraction framework contains clever algorithmic solutions to efficient error propagation in multi-dimensional space. In general, the techniques developed in this work will have a notable impact on the field
ISBN,Price9783030316167
Keyword(s)1. EBOOK 2. EBOOK - SPRINGER 3. IMAGE PROCESSING 4. Measurement Science and Instrumentation 5. Measurement?????? 6. Particle acceleration 7. Particle Acceleration and Detection, Beam Physics 8. PHYSICAL MEASUREMENTS 9. SIGNAL PROCESSING 10. Signal, Image and Speech Processing 11. Speech processing systems 12. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 13. Statistics??
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I09315     On Shelf    

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