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Titlebook: Numerical Python in Astronomy and Astrophysics; A Practical Guide to Wolfram Schmidt,Marcel Völschow Textbook 2021 Springer Nature Switzerl

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书目名称Numerical Python in Astronomy and Astrophysics
副标题A Practical Guide to
编辑Wolfram Schmidt,Marcel Völschow
视频video
概述Teaches programming in Python with the aid of examples from astronomy and astrophysics.Offers an accessible approach to numerical techniques and methods of data analysis used by astrophysicists.Promot
丛书名称Undergraduate Lecture Notes in Physics
图书封面Titlebook: Numerical Python in Astronomy and Astrophysics; A Practical Guide to Wolfram Schmidt,Marcel Völschow Textbook 2021 Springer Nature Switzerl
描述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.
出版日期Textbook 2021
关键词Undergraduate Astrophysics Textbook; Astrophysical Problem Solving; Programming Language; Numerical Pro
版次1
doihttps://doi.org/10.1007/978-3-030-70347-9
isbn_softcover978-3-030-70346-2
isbn_ebook978-3-030-70347-9Series ISSN 2192-4791 Series E-ISSN 2192-4805
issn_series 2192-4791
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Computing and Displaying Data,le variables to evaluate an arithmetic expression for many different values without programming a loop. In the first section, we combine the power of NumPy and Astropy and compute the positions of objects on the celestial sphere. Moreover, we introduce Matplotlib to produce plots from array data. Fu
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Solving Differential Equations,ow us to numerically solve many interesting problems, for instance, a body falling through the atmosphere, two- and three-body problems, a simple model for galaxy collisions, and the expansion of the Universe. Apart from learning how to deal with numerical errors, mastering multi-dimensional arrays
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Astronomical Data Analysis,GAIA. Naturally, file input and output are an important prerequisite for data processing. We conclude with a brief introduction to convolutional neural networks and their application to image data and spectra.
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