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Author | Title | Accn# | Year | Item Type | Claims |
| 21 |
Pruzan, Peter |
Research Methodology |
I09263 |
2016 |
eBook |
|
| 22 |
Strathearn, Aidan |
Modelling Non-Markovian Quantum Systems Using Tensor Networks |
I09121 |
2020 |
eBook |
|
| 23 |
Young, Carl S |
Risk and the Theory of Security Risk Assessment |
I08998 |
2019 |
eBook |
|
| 24 |
McClarren, Ryan G |
Uncertainty Quantification and Predictive Computational Science |
I08959 |
2018 |
eBook |
|
| 25 |
Resseguie, Elodie |
Electroweak Physics at the Large Hadron Collider with the ATLAS Detector |
I08929 |
2020 |
eBook |
|
| 26 |
Eliazar, Iddo |
Power Laws |
I08903 |
2020 |
eBook |
|
| 27 |
Kaloyerou, Panayiotis Nicos |
Basic Concepts of Data and Error Analysis |
I08874 |
2018 |
eBook |
|
| 28 |
Lista, Luca |
Statistical Methods for Data Analysis in Particle Physics |
I08843 |
2017 |
eBook |
|
| 29 |
Lawrence, Andy |
Probability in Physics |
I08777 |
2019 |
eBook |
|
| 30 |
Sharp, Kim |
Entropy and the Tao of Counting |
I08704 |
2019 |
eBook |
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21.
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| Title | Research Methodology : The Aims, Practices and Ethics of Science |
| Author(s) | Pruzan, Peter |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XII, 326 p. 4 illus., 1 illus. in color : online resource |
| Abstract Note | This book is an in-depth guide to effective scientific research. Ranging from the philosophical to the practical, it explains at the outset what science can ??? and can???t ??? achieve, and discusses its relationship to mathematics and laws. The author then pays extensive attention to the scientific method, including experimental design, verification, uncertainty and statistics. A major aim of the book is to help young scientists reflect upon the deeper aims of their work and make the best use of their talents in contributing to progress. To this end, it also includes sections on planning research, on presenting one???s findings in writing, as well as on ethics and the responsibilities of scientists. |
| ISBN,Price | 9783319271675 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Measurement Science and Instrumentation
4. Measurement??????
5. PHYSICAL MEASUREMENTS
6. RESEARCH ETHICS
7. RESEARCH METHODOLOGY
8. Research???Moral and ethical aspects
9. SCIENCE EDUCATION
10. Sociology???Research
11. Statistics for Life Sciences, Medicine, Health Sciences
12. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09263 |
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On Shelf |
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22.
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| Title | Modelling Non-Markovian Quantum Systems Using Tensor Networks |
| Author(s) | Strathearn, Aidan |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XV, 103 p. 64 illus., 15 illus. in color : online resource |
| Abstract Note | This thesis presents a revolutionary technique for modelling the dynamics of a quantum system that is strongly coupled to its immediate environment. This is a challenging but timely problem. In particular it is relevant for modelling decoherence in devices such as quantum information processors, and how quantum information moves between spatially separated parts of a quantum system. The key feature of this work is a novel way to represent the dynamics of general open quantum systems as tensor networks, a result which has connections with the Feynman operator calculus and process tensor approaches to quantum mechanics. The tensor network methodology developed here has proven to be extremely powerful: For many situations it may be the most efficient way of calculating open quantum dynamics. This work is abounds with new ideas and invention, and is likely to have a very significant impact on future generations of physicists |
| ISBN,Price | 9783030549756 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. MATHEMATICAL PHYSICS
4. PROBABILITIES
5. Probability Theory and Stochastic Processes
6. QUANTUM PHYSICS
7. Statistics and Computing/Statistics Programs
8. Statistics??
9. Theoretical, Mathematical and Computational Physics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09121 |
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On Shelf |
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23.
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| Title | Risk and the Theory of Security Risk Assessment |
| Author(s) | Young, Carl S |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XXIII, 274 p. 81 illus : online resource |
| Abstract Note | This book provides the conceptual foundation of security risk assessment and thereby enables reasoning about risk from first principles. It presents the underlying theory that is the basis of a rigorous and universally applicable security risk assessment methodology. Furthermore, the book identifies and explores concepts with profound operational implications that have traditionally been sources of ambiguity if not confusion in security risk management. Notably, the text provides a simple quantitative model for complexity, a significant driver of risk that is typically not addressed in security-related contexts. Risk and The Theory of Security Risk Assessment is a primer of security risk assessment pedagogy, but it also provides methods and metrics to actually estimate the magnitude of security risk. Concepts are explained using numerous examples, which are at times both enlightening and entertaining. As a result, the book bridges a longstanding gap between theory and practice, and therefore will be a useful reference to students, academics and security practitioners. |
| ISBN,Price | 9783030306007 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPUTER SECURITY
3. EBOOK
4. EBOOK - SPRINGER
5. Risk management
6. Security Science and Technology
7. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
8. Statistics??
9. System safety
10. SYSTEM THEORY
11. Systems and Data Security
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08998 |
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On Shelf |
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24.
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| Title | Uncertainty Quantification and Predictive Computational Science : A Foundation for Physical Scientists and Engineers |
| Author(s) | McClarren, Ryan G |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XVII, 345 p. 141 illus., 99 illus. in color : online resource |
| Abstract Note | This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences.Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying local sensitivity analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in R and python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and first year graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform. Organizes interdisciplinary topics of uncertainty quantification into a single teaching text Reviews the fundamentals of probability and statistics Guides the transition from merely performing calculations to making confident predictions Builds readers??? confidence in the validity of their simulations Illustrates concepts with real-world examples and models from the physical sciences and engineering Includes R and python code, enabling readers to perform the analysis |
| ISBN,Price | 9783319995250 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. Computational Science and Engineering
3. Computer mathematics
4. COMPUTER SIMULATION
5. EBOOK
6. EBOOK - SPRINGER
7. ENGINEERING MATHEMATICS
8. Mathematical and Computational Engineering
9. Mathematical Applications in the Physical Sciences
10. MATHEMATICAL PHYSICS
11. Numerical and Computational Physics, Simulation
12. PHYSICS
13. Simulation and Modeling
14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
15. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08959 |
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On Shelf |
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25.
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| Title | Electroweak Physics at the Large Hadron Collider with the ATLAS Detector : Standard Model Measurement, Supersymmetry Searches, Excesses, and Upgrade Electronics |
| Author(s) | Resseguie, Elodie |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XXIII, 322 p. 227 illus., 212 illus. in color : online resource |
| Abstract Note | This thesis discusses searches for electroweakly produced supersymmetric partners of the gauge and the Higgs bosons (gauginos and higgsinos) decaying to multiple leptons, using pp collisions at sqrt(s) = 13 TeV. The thesis presents an in-depth study of multiple searches, as well as the first 13 TeV cross section measurement for the dominant background in these searches, WZ production. Two searches were performed using 36.1/fb of data: the gaugino search, which makes use of a novel kinematic variable, and the higgsino search, which produced the first higgsino limits at the LHC. A search using 139/fb of data makes use of a new technique developed in this thesis to cross check an excess of data above the background expectation in a search using a Recursive Jigsaw Reconstruction technique. None of the searches showed a significant excess of data, and limits were expanded with respect to previous results. These searches will benefit from the addition of luminosity during HL-LHC; however, the current detector will not be able to withstand the increase in radiation. Electronics for the detector upgrade are tested and irradiated to ensure their performance |
| ISBN,Price | 9783030570163 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. Elementary particles (Physics)
4. Elementary Particles, Quantum Field Theory
5. QUANTUM FIELD THEORY
6. Statistics, general
7. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08929 |
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On Shelf |
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26.
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| Title | Power Laws : A Statistical Trek |
| Author(s) | Eliazar, Iddo |
| Publication | Cham, Springer International Publishing, 2020. |
| Description | XX, 203 p. 1 illus : online resource |
| Abstract Note | This monograph is a comprehensive and cohesive exposition of power-law statistics. Following a bottom-up construction from a foundational bedrock ??? the power Poisson process ??? this monograph presents a unified study of an assortment of power-law statistics including: Pareto laws, Zipf laws, Weibull and Fr??chet laws, power Lorenz curves, L??vy laws, power Newcomb-Benford laws, sub-diffusion and super-diffusion, and 1/f and flicker noises. The bedrock power Poisson process, as well as the assortment of power-law statistics, are investigated via diverse perspectives: structural, stochastic, fractal, dynamical, and socioeconomic. This monograph is poised to serve researchers and practitioners ??? from various fields of science and engineering ??? that are engaged in analyses of power-law statistics |
| ISBN,Price | 9783030332358 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. COMPLEXITY
3. COMPUTATIONAL COMPLEXITY
4. EBOOK
5. EBOOK - SPRINGER
6. STATISTICAL PHYSICS
7. Statistical Physics and Dynamical Systems
8. Statistical Theory and Methods
9. Statistics??
10. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08903 |
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On Shelf |
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27.
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| Title | Basic Concepts of Data and Error Analysis : With Introductions to Probability and Statistics and to Computer Methods |
| Author(s) | Kaloyerou, Panayiotis Nicos |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XX, 259 p. 405 illus., 42 illus. in color : online resource |
| Abstract Note | This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference |
| ISBN,Price | 9783319958767 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. Classical and Continuum Physics
3. Continuum physics
4. EBOOK
5. EBOOK - SPRINGER
6. ENGINEERING MATHEMATICS
7. Mathematical and Computational Engineering
8. Measurement Science and Instrumentation
9. Measurement??????
10. PHYSICAL MEASUREMENTS
11. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
12. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08874 |
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On Shelf |
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28.
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| Title | Statistical Methods for Data Analysis in Particle Physics |
| Author(s) | Lista, Luca |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVI, 257 p. 101 illus., 97 illus. in color : online resource |
| Abstract Note | This concise set of course-based notes provides the reader with the main concepts and tools needed to perform statistical analyses of experimental data, in particular in the field of high-energy physics (HEP). First, the book provides an introduction to probability theory and basic statistics, mainly intended as a refresher from readers??? advanced undergraduate studies, but also to help them clearly distinguish between the Frequentist and Bayesian approaches and interpretations in subsequent applications. More advanced concepts and applications are gradually introduced, culminating in the chapter on both discoveries and upper limits, as many applications in HEP concern hypothesis testing, where the main goal is often to provide better and better limits so as to eventually be able to distinguish between competing hypotheses, or to rule out some of them altogether. Many worked-out examples will help newcomers to the field and graduate students alike understand the pitfalls involved in applying theoretical concepts to actual data. This new second edition significantly expands on the original material, with more background content (e.g. the Markov Chain Monte Carlo method, best linear unbiased estimator), applications (unfolding and regularization procedures, control regions and simultaneous fits, machine learning concepts) and examples (e.g. look-elsewhere effect calculation). ?? |
| ISBN,Price | 9783319628400 |
| 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08843 |
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On Shelf |
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29.
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| Title | Probability in Physics : An Introductory Guide |
| Author(s) | Lawrence, Andy |
| Publication | Cham, Springer International Publishing, 2019. |
| Description | XXIV, 347 p. 79 illus., 13 illus. in color : online resource |
| Abstract Note | This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and of statistical inference, as well the importance of probability in information theory, quantum mechanics, and stochastic processes, in a unified manner. The book also presents a harmonised view of frequentist and Bayesian approaches to inference, emphasising their complementary value. The aim is to steer a middle course between the "cookbook" style and an overly dry mathematical statistics style. The treatment is driven by real physics examples throughout, but developed with a level of mathematical clarity and rigour appropriate to mid-career physics undergraduates. Exercises and solutions are included |
| ISBN,Price | 9783030045449 |
| Keyword(s) | 1. ASTRONOMY
2. Astronomy, Astrophysics and Cosmology
3. ASTROPHYSICS
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Mathematical Methods in Physics
9. PHYSICS
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
12. STATISTICAL PHYSICS
13. Statistical Physics and Dynamical Systems
14. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
15. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08777 |
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On Shelf |
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