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Introduction to Gravitational Lensing: With Python Examples (Lecture Notes in Physics, 956)
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This book introduces the phenomenology of gravitational lensing in an accessible manner and provides a thorough discussion of the related astrophysical applications.
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產品詳情
| Publisher | Springer |
| Publication date | November 6, 2021 |
| Edition | 2021st |
| Language | English |
| Print length | 425 pages |
| ISBN-10 | 3030735818 |
| ISBN-13 | 978-3030735814 |
| Item Weight | 1.46 pounds (660 grams) |
| Dimensions | 6.1 x 0.97 x 9.25 inches (15.5 x 2.5 x 23.5 cm) |
| Part of series | Lecture Notes in Physics |
Who Should Buy?
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Astrophysics Students
Ideal for students studying astrophysics who want hands-on experience with gravitational lensing using Python programming.
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Research Scientists
Beneficial for scientists exploring gravitational lensing research to apply Python techniques for advanced analysis.
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Python Enthusiasts
Great for programmers or data scientists interested in astrophysical phenomena and applying Python for scientific computing.
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General Public
Not suitable for casual readers without a background in physics or programming, as content can be highly technical.
產品敘述
Introduction to Gravitational Lensing: With Python Examples (Lecture Notes in Physics, 956)
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Astronomy Editorial Review
Unfortunately, it is difficult to provide an accurate editorial review based on the limited and seemingly irrelevant feedback provided. Based on the title and description of the product, it appears to be a textbook on gravitational lensing with Python examples. Without additional information or reviews specifically pertaining to the content and usefulness of the book itself, it is impossible to make a comprehensive assessment.
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特色和優勢
- Introduces gravitational lensing and related astrophysical applications
- Accessible to advanced undergraduates, graduate students, and senior researchers
- Covers fascinating topics like exoplanet searching, dark matter investigation, and cosmological aspects
- Includes simple python codes to aid comprehension of theory and observational techniques
- Preparatory for learning the popular python programming language
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