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Author  Title  Accn#  Year  Item Type  Claims 
1 
Bonamente, Massimiliano 
Statistics and Analysis of Scientific Data 
I10326 
2017 
eBook 

2 
Ma??a, Carlos 
Probability and Statistics for Particle Physics 
I10178 
2017 
eBook 

3 
C??ceres, Manuel Osvaldo 
Nonequilibrium Statistical Physics with Application to Disordered Systems 
I10110 
2017 
eBook 

4 
Taylor, Alexander John 
Analysis of Quantised Vortex Tangle 
I10040 
2017 
eBook 

5 
Lista, Luca 
Statistical Methods for Data Analysis in Particle Physics 
I09963 
2016 
eBook 

6 
Harney, Hanns Ludwig 
Bayesian Inference 
I09850 
2016 
eBook 

7 
Vitali, Ettore 
Theory and Simulation of Random Phenomena 
I09810 
2018 
eBook 

8 
Kanazawa, Kiyoshi 
Statistical Mechanics for Athermal Fluctuation 
I09662 
2017 
eBook 

9 
Roe, Byron P 
Probability and Statistics in the Physical Sciences 
I09593 
2020 
eBook 

10 
Cataldo, Andrea 
Basic Theory and Laboratory Experiments in Measurement and Instrumentation 
I09499 
2020 
eBook 


1.


Title  Statistics and Analysis of Scientific Data 
Author(s)  Bonamente, Massimiliano 
Publication  New York, NY, 1. Imprint: Springer
2. Springer New York, 2017. 
Description  XVII, 318 p. 40 illus., 4 illus. in color : online resource 
Abstract Note  The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to twodimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: ??? a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. ??? a new chapter on the various measures of the mean including logarithmic averages. ??? new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. ??? a new case study and additional worked examples. ??? mathematical derivations and theoretical background material have been appropriately marked,to improve the readability of the text. ??? endofchapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theorythenapplication approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic 
ISBN,Price  9781493965724 
Keyword(s)  1. APPLIED MATHEMATICS
2. COMPLEX SYSTEMS
3. DYNAMICAL SYSTEMS
4. EBOOK
5. EBOOK  SPRINGER
6. ENGINEERING MATHEMATICS
7. Mathematical and Computational Engineering
8. Mathematical Methods in Physics
9. PHYSICS
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. Statistics for Business, Management, Economics, Finance, Insurance
13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
14. Statistics??

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Call#  Status  Issued To  Return Due On  Physical Location 
I10326 


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2.


Title  Probability and Statistics for Particle Physics 
Author(s)  Ma??a, Carlos 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2017. 
Description  X, 244 p. 27 illus., 11 illus. in color : online resource 
Abstract Note  This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduatelevel courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics. 
ISBN,Price  9783319557380 
Keyword(s)  1. EBOOK
2. EBOOK  SPRINGER
3. Mathematical Methods in Physics
4. NUCLEAR PHYSICS
5. Particle and Nuclear Physics
6. PHYSICS
7. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
8. Statistics??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10178 


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3.


Title  Nonequilibrium Statistical Physics with Application to Disordered Systems 
Author(s)  C??ceres, Manuel Osvaldo 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2017. 
Description  XXIV, 556 p. 51 illus : online resource 
Abstract Note  This textbook is the result of the enhancement of several courses on nonequilibrium 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 littleknown physical and mathematical concepts are described in sections and specific exercises throughout the text, as well as in appendices. Physicalmathematical 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 nonequilibrium statistical theory and stochastic differential equations.. In particular it discusses the problem of irreversibility in that context and the dynamics of FokkerPlanck. An introduction on fluctuations around metastable and unstable points are given. It also describes relaxation theory of nonstationary 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,Price  9783319515533 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10110 


On Shelf 




4.


Title  Analysis of Quantised Vortex Tangle 
Author(s)  Taylor, Alexander John 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2017. 
Description  XVI, 197 p. 95 illus., 84 illus. in color : online resource 
Abstract Note  In this thesis, the author develops numerical techniques for tracking and characterising the convoluted nodal lines in threedimensional space, analysing their geometry on the small scale, as well as their global fractality and topological complexityincluding knottingon 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,Price  9783319485560 
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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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10040 


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5.


Title  Statistical Methods for Data Analysis in Particle Physics 
Author(s)  Lista, Luca 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2016. 
Description  XIX, 172 p. 63 illus., 59 illus. in color : online resource 
Abstract Note  This concise set of coursebased notes provides the reader with the main concepts and tools to perform statistical analysis of experimental data, in particular in the field of highenergy 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,Price  9783319201764 
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??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09963 


On Shelf 




6.


Title  Bayesian Inference : Data Evaluation and Decisions 
Author(s)  Harney, Hanns Ludwig 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2016. 
Description  XIII, 243 p. 39 illus., 3 illus. in color : online resource 
Abstract Note  This 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 chisquaredcriterion. 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,Price  9783319416441 
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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Call#  Status  Issued To  Return Due On  Physical Location 
I09850 


On Shelf 




7.


Title  Theory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications 
Author(s)  Vitali, Ettore;Motta, Mario;Galli, Davide Emilio 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2018. 
Description  XIII, 235 p. 5 illus : online resource 
Abstract Note  The 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 stepbystep 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,Price  9783319905150 
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??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09810 


On Shelf 




8.


Title  Statistical Mechanics for Athermal Fluctuation : NonGaussian Noise in Physics 
Author(s)  Kanazawa, Kiyoshi 
Publication  Singapore, 1. Imprint: Springer
2. Springer Singapore, 2017. 
Description  XVI, 222 p. 53 illus., 46 illus. in color : online resource 
Abstract Note  The 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 nonGaussian 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 Langevinlike equation with nonGaussian 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 nonGaussian 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,Price  9789811063329 
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

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09662 


On Shelf 




9.


Title  Probability and Statistics in the Physical Sciences 
Author(s)  Roe, Byron P 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2020. 
Description  XIII, 285 p. 54 illus., 5 illus. in color : online resource 
Abstract Note  This 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 FeldmanCousins method, Lagrange multipliers for constraints, estimation of likelihood ratios, and unfolding problems 
ISBN,Price  9783030536947 
Keyword(s)  1. ASTRONOMY
2. Astronomy, Astrophysics and Cosmology
3. ASTROPHYSICS
4. Datadriven 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??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09593 


On Shelf 




10.
 
Title  Basic Theory and Laboratory Experiments in Measurement and Instrumentation : A PracticeOriented 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 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2020. 
Description  XIV, 191 p. 168 illus., 41 illus. in color : online resource 
Abstract Note  This 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 handson 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 reflectometrybased measurements. For each experiment, it describes the corresponding uncertainty evaluation in detail. Bridging the gap between theory and practice, the book offers a unique, selfcontained 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,Price  9783030467401 
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??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I09499 


On Shelf 



 