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Click the serial number on the left to view the details of the item. |
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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Pagonis, Vasilis |
Luminescence Signal Analysis Using Python |
I12525 |
2022 |
Book |
|
| 2 |
Schmidt, Wolfram |
Numerical Python in Astronomy and Astrophysics |
I11649 |
2021 |
eBook |
|
| 3 |
Javarone, Marco Alberto |
Statistical Physics and Computational Methods for Evolutionary Game Theory |
I10011 |
2018 |
eBook |
|
| 4 |
Marco Bittelli, Gaylon S. Campbell, and Fausto Tomei |
Soil physics with Python |
OB1102 |
|
eBook |
|
| 5 |
Guido Caldarelli |
Data science and complex networks |
OB1034 |
|
eBook |
|
|
|
1.
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| Title | Luminescence Signal Analysis Using Python |
| Author(s) | Pagonis, Vasilis |
| Publication | Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. |
| Description | XIX, 396 p. 140 illus., 136 illus. in color : online resource |
| Abstract Note | 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 |
| ISBN,Price | 9783030967987 |
| Keyword(s) | 1. EBOOK
2. EBOOK - SPRINGER
3. MATHEMATICAL PHYSICS
4. OPTICAL SPECTROSCOPY
5. PYTHON
6. Python (Computer program language)
7. QUANTUM PHYSICS
8. Radiation dosimetry
9. Radiation Dosimetry and Protection
10. Theoretical, Mathematical and Computational Physics
|
| Item Type | Book |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12525 |
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On Shelf |
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2.
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| Title | Numerical Python in Astronomy and Astrophysics : A Practical Guide to Astrophysical Problem Solving |
| Author(s) | Schmidt, Wolfram;V??lschow, Marcel |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | X, 250 p. 55 illus., 50 illus. in color : online resource |
| Abstract Note | This book provides a solid foundation in the Python programming language, numerical methods, and data analysis, all embedded within the context of astronomy and astrophysics. It not only enables students to learn programming with the aid of examples from these fields but also provides ample motivation for engagement in independent research. The book opens by outlining the importance of computational methods and programming algorithms in contemporary astronomical and astrophysical research, showing why programming in Python is a good choice for beginners. The performance of basic calculations with Python is then explained with reference to, for example, Kepler???s laws of planetary motion and gravitational and tidal forces. Here, essential background knowledge is provided as necessary. Subsequent chapters are designed to teach the reader to define and use important functions in Python and to utilize numerical methods to solve differential equations and landmark dynamical problems in astrophysics. Finally, the analysis of astronomical data is discussed, with various hands-on examples as well as guidance on astronomical image analysis and applications of artificial neural networks |
| ISBN,Price | 9783030703479 |
| Keyword(s) | 1. ASTRONOMY
2. Astronomy, Cosmology and Space Sciences
3. EBOOK
4. EBOOK - SPRINGER
5. MATHEMATICAL PHYSICS
6. NUMERICAL ANALYSIS
7. PYTHON
8. Python (Computer program language)
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 |
| I11649 |
|
|
On Shelf |
|
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|
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3.
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| Title | Statistical Physics and Computational Methods for Evolutionary Game Theory |
| Author(s) | Javarone, Marco Alberto |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | IX, 74 p. 27 illus., 25 illus. in color : online resource |
| Abstract Note | This book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems. Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). ??This book will appeal to students and researchers in this burgeoning field of complex systems |
| ISBN,Price | 9783319702056 |
| Keyword(s) | 1. Computational Social Sciences
2. Data-driven Science, Modeling and Theory Building
3. EBOOK
4. EBOOK - SPRINGER
5. ECONOPHYSICS
6. Evolutionary Biology
7. GAME THEORY
8. Game Theory, Economics, Social and Behav. Sciences
9. PYTHON
10. Python (Computer program language)
11. Social sciences???Computer programs
12. Social sciences???Data processing
13. Sociophysics
14. STATISTICAL PHYSICS
15. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10011 |
|
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On Shelf |
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