Vasilis Pagonis's Books

Classical Mechanics

A Computational Approach with Examples Using Mathematica and Python

By: Christopher W. Kulp,Vasilis Pagonis

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Classical Mechanics

A Computational Approach with Examples Using Mathematica and Python

By: Christopher W. Kulp,Vasilis Pagonis

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation. Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics. It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics. Features: Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physics Numerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were used Online resources containing specific example codes to help students learn computational methods and write their own algorithms A solutions manual is available via the Routledge Instructor Hub and extra code is available via the Support Material tab

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529

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CRC Press

Published Date

ISBN 10

1351024361

ISBN 13

9781351024365

Mathematical Methods using Python

Applications in Physics and Engineering

By: Vasilis Pagonis,Christopher Wayne Kulp

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Mathematical Methods using Python

Applications in Physics and Engineering

By: Vasilis Pagonis,Christopher Wayne Kulp

This advanced undergraduate textbook presents a new approach to teaching mathematical methods for scientists and engineers. It provides a practical, pedagogical introduction to utilizing Python in Mathematical and Computational Methods courses. Both analytical and computational examples are integrated from its start. Each chapter concludes with a set of problems designed to help students hone their skills in mathematical techniques, computer programming, and numerical analysis. The book places less emphasis on mathematical proofs, and more emphasis on how to use computers for both symbolic and numerical calculations. It contains 182 extensively documented coding examples, based on topics that students will encounter in their advanced courses in Mechanics, Electronics, Optics, Electromagnetism, Quantum Mechanics etc. An introductory chapter gives students a crash course in Python programming and the most often used libraries (SymPy, NumPy, SciPy, Matplotlib). This is followed by chapters dedicated to differentiation, integration, vectors and multiple integration techniques. The next group of chapters covers complex numbers, matrices, vector analysis and vector spaces. Extensive chapters cover ordinary and partial differential equations, followed by chapters on nonlinear systems and on the analysis of experimental data using linear and nonlinear regression techniques, Fourier transforms, binomial and Gaussian distributions. The book is accompanied by a dedicated GitHub website, which contains all codes from the book in the form of ready to run Jupyter notebooks. A detailed solutions manual is also available for instructors using the textbook in their courses. Key Features: · A unique teaching approach which merges mathematical methods and the Python programming skills which physicists and engineering students need in their courses. · Uses examples and models from physical and engineering systems, to motivate the mathematics being taught. · Students learn to solve scientific problems in three different ways: traditional pen-and-paper methods, using scientific numerical techniques with NumPy and SciPy, and using Symbolic Python (SymPy). Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, USA. His research area is applications of thermally and optically stimulated luminescence. He taught courses in mathematical physics, classical and quantum mechanics, analog and digital electronics and numerous general science courses. Dr. Pagonis’ resume lists more than 200 peer-reviewed publications in international journals. He is currently associate editor of the journal Radiation Measurements. He is co-author with Christopher Kulp of the undergraduate textbook “Classical Mechanics: a computational approach, with examples in Python and Mathematica” (CRC Press, 2020). He has also co-authored four graduate-level textbooks in the field of luminescence dosimetry, and most recently published the book “Luminescence Signal analysis using Python” (Springer, 2022). Christopher Kulp is the John P. Graham Teaching Professor of Physics at Lycoming College. He has been teaching undergraduate physics at all levels for 20 years. Dr. Kulp’s research focuses on modelling complex systems, time series analysis, and machine learning. He has published 30 peer-reviewed papers in international journals, many of which include student co-authors. He is also co-author of the undergraduate textbook “Classical Mechanics: a computational approach, with examples in Python and Mathematica” (CRC Press, 2020).

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945

Publisher

CRC Press

Published Date

ISBN 10

1040023053

ISBN 13

9781040023051

Luminescence

Data Analysis and Modeling Using R

By: Vasilis Pagonis

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Luminescence

Data Analysis and Modeling Using R

By: Vasilis Pagonis

This book covers applications of R to the general discipline of radiation dosimetry and to the specific areas of luminescence dosimetry, luminescence dating, and radiation protection dosimetry. It features more than 90 detailed worked examples of R code fully integrated into the text, with extensive annotations. The book shows how researchers can use available R packages to analyze their experimental data, and how to extract the various parameters describing mathematically the luminescence signals. In each chapter, the theory behind the subject is summarized, and references are given from the literature, so that researchers can look up the details of the theory and the relevant experiments. Several chapters are dedicated to Monte Carlo methods, which are used to simulate the luminescence processes during the irradiation, heating, and optical stimulation of solids, for a wide variety of materials. This book will be useful to those who use the tools of luminescence dosimetry, including physicists, geologists, archaeologists, and for all researchers who use radiation in their research.

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357

Publisher

Springer Nature

Published Date

ISBN 10

3030673111

ISBN 13

9783030673116

Numerical and Practical Exercises in Thermoluminescence

By: Vasilis Pagonis,George Kitis,Claudio Furetta

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Numerical and Practical Exercises in Thermoluminescence

By: Vasilis Pagonis,George Kitis,Claudio Furetta

Thermoluminescence (TL) is a well-established technique widely used in do- metric and dating applications. Although several excellent reference books exist which document both the t- oretical and experimental aspects of TL, there is a general lack of books that deal withspeci?cnumericalandpracticalaspectsofanalyzingTLdata. Manytimesthe practicaldetailsofanalyzingnumericalTLglowcurvesandofapplyingtheoretical models are dif?cult to ?nd in the published literature. The purpose of this book is to provide a practical guide for both established researchers and for new graduate students entering the ?eld of TL and is intended to be used in conjunction with and as a practical supplement of standard textbooks in the ?eld. Chapter1laysthemathematicalgroundworkforsubsequentchaptersbyprese- ingthefundamentalmathematicalexpressionsmostcommonlyusedforanalyzing experimental TL data. Chapter2presentscomprehensiveexamplesofTLdataanalysisforglowcurves following ?rst-, second-, and general-order kinetics. Detailed analysis of num- ical data is presented by using a variety of methods found in the TL literature, with particular emphasis in the practical aspects and pitfalls that researchers may encounter. Special emphasis is placed on the need to use several different me- ods to analyze the same TL data, as well as on the necessity to analyze glow curves obtained under different experimental conditions. Unfortunately, the lit- ature contains many published papers that claim a speci?c kinetic order for a TL peak in a dosimetric material, based only on a peak shape analysis. It is hoped that the detailed examples provided in Chapter 2 will encourage more comprehensive studies of TL properties of materials, based on the simultaneous use of several different methods of analysis.

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210

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387300902

ISBN 13

9780387300900

Luminescence Signal Analysis Using Python

By: Vasilis Pagonis

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Luminescence Signal Analysis Using Python

By: Vasilis Pagonis

This book compiles and presents a complete package of open-access Python software code for luminescence signal analysis in the areas of radiation dosimetry, luminescence dosimetry, and luminescence dating. Featuring more than 90 detailed worked examples of Python code, fully integrated into the text, 16 chapters summarize the theory and equations behind the subject matter, while presenting the practical Python codes used to analyze experimental data and extract the various parameters that mathematically describe the luminescence signals. Several examples are provided of how researchers can use and modify the available codes for different practical situations. Types of luminescence signals analyzed in the book are thermoluminescence (TL), isothermal luminescence (ITL), optically stimulated luminescence (OSL), infrared stimulated luminescence (IRSL), timeresolved luminescence (TR) and dose response of dosimetric materials. The open-access Python codes are available at GitHub. The book is well suited to the broader scientific audience using the tools of luminescence dosimetry: physicists, geologists, archaeologists, solid-state physicists, medical physicists, and all scientists using luminescence dosimetry in their research. The detailed code provided allows both students and researchers to be trained quickly and efficiently on the practical aspects of their work, while also providing an overview of the theory behind the analytical equations.

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409

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Springer Nature

Published Date

ISBN 10

3030967980

ISBN 13

9783030967987

Luminescence Signal Analysis Using Python

By: Vasilis Pagonis

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Luminescence Signal Analysis Using Python

By: Vasilis Pagonis

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409

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Springer Nature

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ISBN 10

3030967980

ISBN 13

9783030967987

Thermally and Optically Stimulated Luminescence

A Simulation Approach

By: Reuven Chen,Vasilis Pagonis

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Thermally and Optically Stimulated Luminescence

A Simulation Approach

By: Reuven Chen,Vasilis Pagonis

Thermoluminescence (TL) and optically stimulated luminescence (OSL) are two of the most important techniques used in radiation dosimetry. They have extensive practical applications in the monitoring of personnel radiation exposure, in medical dosimetry, environmental dosimetry, spacecraft, nuclear reactors, food irradiation etc., and in geological /archaeological dating. Thermally and Optically Stimulated Luminescence: A Simulation Approach describes these phenomena, the relevant theoretical models and their prediction, using both approximations and numerical simulation. The authors concentrate on an alternative approach in which they simulate various experimental situations by numerically solving the relevant coupled differential equations for chosen sets of parameters. Opening with a historical overview and background theory, other chapters cover experimental measurements, dose dependence, dating procedures, trapping parameters, applications, radiophotoluminescence, and effects of ionization density. Designed for practitioners, researchers and graduate students in the field of radiation dosimetry, Thermally and Optically Stimulated Luminescence provides an essential synthesis of the major developments in modeling and numerical simulations of thermally and optically stimulated processes.

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409

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119995760

ISBN 13

9781119995760

Numerical and Practical Exercises in Thermoluminescence

By: Vasilis Pagonis,George Kitis,Claudio Furetta

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Numerical and Practical Exercises in Thermoluminescence

By: Vasilis Pagonis,George Kitis,Claudio Furetta

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210

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Springer Science & Business Media

Published Date

ISBN 10

0387300902

ISBN 13

9780387300900

Classical Mechanics

A Computational Approach with Examples Using Mathematica and Python

By: Christopher W. Kulp,Vasilis Pagonis

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Classical Mechanics

A Computational Approach with Examples Using Mathematica and Python

By: Christopher W. Kulp,Vasilis Pagonis

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529

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CRC Press

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ISBN 10

1351024361

ISBN 13

9781351024365

Mathematical Methods using Python

Applications in Physics and Engineering

By: Vasilis Pagonis,Christopher Wayne Kulp

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Mathematical Methods using Python

Applications in Physics and Engineering

By: Vasilis Pagonis,Christopher Wayne Kulp

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505

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CRC Press

Published Date

ISBN 10

1040023029

ISBN 13

9781040023020

Book's by Vasilis Pagonis

Classical Mechanics

Classical Mechanics

Mathematical Methods using Python

Mathematical Methods using Python

Luminescence

Luminescence

Numerical and Practical Exercises in Thermoluminescence

Numerical and Practical Exercises in Thermoluminescence

Luminescence Signal Analysis Using Python

Luminescence Signal Analysis Using Python

Luminescence Signal Analysis Using Python

Luminescence Signal Analysis Using Python

Thermally and Optically Stimulated Luminescence

Thermally and Optically Stimulated Luminescence

Numerical and Practical Exercises in Thermoluminescence

Numerical and Practical Exercises in Thermoluminescence

Classical Mechanics

Classical Mechanics

Mathematical Methods using Python

Mathematical Methods using Python

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