Numerical Python in astronomy and astrophysics : a practical guide to astrophysical problem solving / Wolfram Schmidt, Marcel Völschow.

Format:

Book

Author/Creator:

Schmidt, Wolfram, 1974- author.

Völschow, Marcel, author.

Series:

Undergraduate lecture notes in physics

Language:

English

Subjects (All):

Astronomy--Data processing.

Python (Computer program language).

Genre:

Electronic books.

Physical Description:

1 online resource : illustrations (chiefly color).

Place of Publication:

Cham : Springer, [2021]

System Details:

text file PDF

Summary:

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, Keplers 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.

Contents:

Chapter 1. Introduction

Chapter 2. Getting Started with Python

Chapter 3. Computing and Displaying Data

Chapter 4. Functions and Numerical Methods

Chapter 5. Solving Differential Equations

Chapter 6. Astronomical Data Analysis.

Notes:

Includes bibliographical references and index.

Online resource; title from PDF title page (SpringerLink, viewed July 29, 2021).

ISBN:

9783030703479

3030703479

OCLC:

1260340925

Access Restriction:

Restricted for use by site license.