Numerical Python In Astronomy And Astrophysics

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Numerical Python in Astronomy and Astrophysics

Author : Wolfram Schmidt
Publisher : Springer Nature
ISBN 13 : 3030703479
Total Pages : 250 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Numerical Python in Astronomy and Astrophysics by : Wolfram Schmidt

Download or read book Numerical Python in Astronomy and Astrophysics written by Wolfram Schmidt and published by Springer Nature. This book was released on 2021-07-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Numerical Methods in Astrophysics

Author : Peter Bodenheimer
Publisher : Taylor & Francis
ISBN 13 : 1420011863
Total Pages : 344 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Numerical Methods in Astrophysics by : Peter Bodenheimer

Download or read book Numerical Methods in Astrophysics written by Peter Bodenheimer and published by Taylor & Francis. This book was released on 2006-12-13 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Methods in Astrophysics: An Introduction outlines various fundamental numerical methods that can solve gravitational dynamics, hydrodynamics, and radiation transport equations. This resource indicates which methods are most suitable for particular problems, demonstrates what the accuracy requirements are in numerical simulations, a

Numerical Methods in Astrophysics

Author : Peter Bodenheimer
Publisher : CRC Press
ISBN 13 : 9781498725620
Total Pages : 400 pages
Book Rating : 4.7/5 (256 download)

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Book Synopsis Numerical Methods in Astrophysics by : Peter Bodenheimer

Download or read book Numerical Methods in Astrophysics written by Peter Bodenheimer and published by CRC Press. This book was released on 2021-06-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Numerical Methods in Physics with Python

Author : Alex Gezerlis
Publisher : Cambridge University Press
ISBN 13 : 1108488846
Total Pages : 605 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Numerical Methods in Physics with Python by : Alex Gezerlis

Download or read book Numerical Methods in Physics with Python written by Alex Gezerlis and published by Cambridge University Press. This book was released on 2020-08-27 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: Idiomatic Python -- Numbers -- Derivatives -- Matrices -- Roots -- Approximation -- Integrals -- Differential Equations.

Introduction to Astronomy and Astrophysics

Author : Arnold Hanslmeier
Publisher : Springer Nature
ISBN 13 : 3662646374
Total Pages : 692 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Introduction to Astronomy and Astrophysics by : Arnold Hanslmeier

Download or read book Introduction to Astronomy and Astrophysics written by Arnold Hanslmeier and published by Springer Nature. This book was released on 2023-01-30 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides the basic theoretical and practical knowledge of astronomy and astrophysics. It provides an overview from classical astronomy and observational methods to solar physics and astrophysics of stars and galaxies. It concludes with chapters on cosmology, astrobiology, and mathematical and numerical methods. Numerous color illustrations, examples of calculations, and exercises with solutions make this work a useful companion to undergraduate astronomy lectures. The book is suitable for students of physics and astronomy at teacher training level or in the Bachelor's degree - but also people interested in natural sciences with appropriate basic knowledge of mathematics and physics will find here an appealing introduction to the subject. This fourth edition has been updated and revised with respect to the latest developments in astronomy. The chapter on mathematical methods has been redesigned and the software used is now exclusively Python. From the contents: Spherical astronomy - History of astronomy - Celestial mechanics - Astronomical instruments - Physics of the bodies of the solar system - The Sun - State variables of the stars - Stellar atmospheres - Stellar structure - Stellar evolution - Interstellar matter - The Galaxy - Extragalactic systems - Cosmology - Astrobiology - Mathematical methods. This book is a translation of the original German 4th edition Einführung in Astronomie und Astrophysik by Arnold Hanslmeier, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors.

Issues in Astronomy and Astrophysics: 2012 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1481645536
Total Pages : 734 pages
Book Rating : 4.4/5 (816 download)

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Book Synopsis Issues in Astronomy and Astrophysics: 2012 Edition by :

Download or read book Issues in Astronomy and Astrophysics: 2012 Edition written by and published by ScholarlyEditions. This book was released on 2013-01-10 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Astronomy and Astrophysics / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Planetary Science. The editors have built Issues in Astronomy and Astrophysics: 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Planetary Science in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Astronomy and Astrophysics: 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

SciPy and NumPy

Author : Eli Bressert
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449361633
Total Pages : 81 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis SciPy and NumPy by : Eli Bressert

Download or read book SciPy and NumPy written by Eli Bressert and published by "O'Reilly Media, Inc.". This book was released on 2012-11-15 with total page 81 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you new to SciPy and NumPy? Do you want to learn it quickly and easily through examples and a concise introduction? Then this is the book for you. You’ll cut through the complexity of online documentation and discover how easily you can get up to speed with these Python libraries. Ideal for data analysts and scientists in any field, this overview shows you how to use NumPy for numerical processing, including array indexing, math operations, and loading and saving data. You’ll learn how SciPy helps you work with advanced mathematical functions such as optimization, interpolation, integration, clustering, statistics, and other tools that take scientific programming to a whole new level. The new edition is now available, fully revised and updated in June 2013. Learn the capabilities of NumPy arrays, element-by-element operations, and core mathematical operations Solve minimization problems quickly with SciPy’s optimization package Use SciPy functions for interpolation, from simple univariate to complex multivariate cases Apply a variety of SciPy statistical tools such as distributions and functions Learn SciPy’s spatial and cluster analysis classes Save operation time and memory usage with sparse matrices

Bayesian Models for Astrophysical Data

Author : Joseph M. Hilbe
Publisher : Cambridge University Press
ISBN 13 : 1108210740
Total Pages : 429 pages
Book Rating : 4.1/5 (82 download)

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Book Synopsis Bayesian Models for Astrophysical Data by : Joseph M. Hilbe

Download or read book Bayesian Models for Astrophysical Data written by Joseph M. Hilbe and published by Cambridge University Press. This book was released on 2017-04-27 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive guide to Bayesian methods in astronomy enables hands-on work by supplying complete R, JAGS, Python, and Stan code, to use directly or to adapt. It begins by examining the normal model from both frequentist and Bayesian perspectives and then progresses to a full range of Bayesian generalized linear and mixed or hierarchical models, as well as additional types of models such as ABC and INLA. The book provides code that is largely unavailable elsewhere and includes details on interpreting and evaluating Bayesian models. Initial discussions offer models in synthetic form so that readers can easily adapt them to their own data; later the models are applied to real astronomical data. The consistent focus is on hands-on modeling, analysis of data, and interpretations that address scientific questions. A must-have for astronomers, its concrete approach will also be attractive to researchers in the sciences more generally.

Numerical Methods for Physics (Python)

Author : Alejando L. Garcia
Publisher :
ISBN 13 : 9781548865498
Total Pages : 350 pages
Book Rating : 4.8/5 (654 download)

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Book Synopsis Numerical Methods for Physics (Python) by : Alejando L. Garcia

Download or read book Numerical Methods for Physics (Python) written by Alejando L. Garcia and published by . This book was released on 2017-07-12 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a broad spectrum of the most important, basic numerical and analytical techniques used in physics -including ordinary and partial differential equations, linear algebra, Fourier transforms, integration, and probability. This version of the text uses Python with Matlab, C++, and FORTRAN versions of the programs also available on-line.

Mastering Python Scientific Computing

Author : Hemant Kumar Mehta
Publisher : Packt Publishing Ltd
ISBN 13 : 1783288833
Total Pages : 301 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis Mastering Python Scientific Computing by : Hemant Kumar Mehta

Download or read book Mastering Python Scientific Computing written by Hemant Kumar Mehta and published by Packt Publishing Ltd. This book was released on 2015-09-23 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. Most of the Python APIs and tools used in scientific computing are discussed in detail The concepts are discussed with suitable example programs Who This Book Is For If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming. What You Will Learn Fundamentals and components of scientific computing Scientific computing data management Performing numerical computing using NumPy and SciPy Concepts and programming for symbolic computing using SymPy Using the plotting library matplotlib for data visualization Data analysis and visualization using Pandas, matplotlib, and IPython Performing parallel and high performance computing Real-life case studies and best practices of scientific computing In Detail In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach This book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.

Encyclopedia of Astronomy & Astrophysics

Author : P Murdin
Publisher : CRC Press
ISBN 13 : 1000523039
Total Pages : 5610 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Encyclopedia of Astronomy & Astrophysics by : P Murdin

Download or read book Encyclopedia of Astronomy & Astrophysics written by P Murdin and published by CRC Press. This book was released on 2001-01-01 with total page 5610 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a unique collaboration, Nature Publishing Group and Institute of Physics Publishing have published the most extensive and comprehensive reference work in astronomy and astrophysics. This unique resource covers the entire field of astronomy and astrophysics and this online version includes the full text of over 2,750 articles, plus sophisticated search and retrieval functionality and links to the primary literature. The Encyclopaedia's authority is assured by editorial and advisory boards drawn from the world's foremost astronomers and astrophysicists. This first class resource is an essential source of information for undergraduates, graduate students, researchers and seasoned professionals, as well as for committed amateurs, librarians and lay people wishing to consult the definitive astronomy and astrophysics reference work.

Computational Problems for Physics

Author : Rubin H. Landau
Publisher : CRC Press
ISBN 13 : 1351784021
Total Pages : 465 pages
Book Rating : 4.3/5 (517 download)

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Book Synopsis Computational Problems for Physics by : Rubin H. Landau

Download or read book Computational Problems for Physics written by Rubin H. Landau and published by CRC Press. This book was released on 2018-05-30 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our future scientists and professionals must be conversant in computational techniques. In order to facilitate integration of computer methods into existing physics courses, this textbook offers a large number of worked examples and problems with fully guided solutions in Python as well as other languages (Mathematica, Java, C, Fortran, and Maple). It’s also intended as a self-study guide for learning how to use computer methods in physics. The authors include an introductory chapter on numerical tools and indication of computational and physics difficulty level for each problem. Readers also benefit from the following features: • Detailed explanations and solutions in various coding languages. • Problems are ranked based on computational and physics difficulty. • Basics of numerical methods covered in an introductory chapter. • Programming guidance via flowcharts and pseudocode. Rubin Landau is a Distinguished Professor Emeritus in the Department of Physics at Oregon State University in Corvallis and a Fellow of the American Physical Society (Division of Computational Physics). Manuel Jose Paez-Mejia is a Professor of Physics at Universidad de Antioquia in Medellín, Colombia.

Introduction to Astronomy and Astrophysics

Author : Arnold Hanslmeier
Publisher :
ISBN 13 : 9783662646380
Total Pages : 0 pages
Book Rating : 4.6/5 (463 download)

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Book Synopsis Introduction to Astronomy and Astrophysics by : Arnold Hanslmeier

Download or read book Introduction to Astronomy and Astrophysics written by Arnold Hanslmeier and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides the basic theoretical and practical knowledge of astronomy and astrophysics. It provides an overview from classical astronomy and observational methods to solar physics and astrophysics of stars and galaxies. It concludes with chapters on cosmology, astrobiology, and mathematical and numerical methods. Numerous color illustrations, examples of calculations, and exercises with solutions make this work a useful companion to undergraduate astronomy lectures. The book is suitable for students of physics and astronomy at teacher training level or in the Bachelor's degree - but also people interested in natural sciences with appropriate basic knowledge of mathematics and physics will find here an appealing introduction to the subject. This fourth edition has been updated and revised with respect to the latest developments in astronomy. The chapter on mathematical methods has been redesigned and the software used is now exclusively Python. Contents: Spherical Astronomy - History of Astronomy - Celestial Mechanics - Astronomical Instruments - Physics of Solar System Bodies - The Sun - State Variables of Stars - Stellar Atmospheres - Stellar Structure - Stellar Evolution - Interstellar Matter - The Galaxy - Extragalactic Systems - Cosmology - Astrobiology - Mathematical Methods This book is a translation of the original German 4th edition Einführung in Astronomie und Astrophysik by Arnold Hanslmeier, published by Springer-Verlag GmbH Germany, part of Springer Nature in 2020. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. Springer Nature works continuously to further the development of tools for the production of books and on the related technologies to support the authors. The Author Prof. Arnold Hanslmeier is an astrophysicist at the Institute of Physics at the University of Graz. In addition to more than 400 scientific publications and several specialized books, he also devotes himself with great pleasure to the comprehensible dissemination of the fascinating findings of modern astrophysics. He lectures at the University of Graz and is a visiting professor at the Universities of Vienna, Innsbruck, Toulouse, La Laguna, Tenerife and the Kiepenheuer Institute in Freiburg. Due to his special didactic abilities to present complicated things in a simple and vivid way, he is a much sought-after speaker internationally.

Jets From Young Stars V

Author : José Gracia
Publisher : Springer
ISBN 13 : 3642033709
Total Pages : 227 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Jets From Young Stars V by : José Gracia

Download or read book Jets From Young Stars V written by José Gracia and published by Springer. This book was released on 2009-10-30 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studying the complex physical systems of stellar jets necessitates the incorporation of nonlinear effects which occur on a wide variety of length and timescales. One of the primary methods used to study the physics of jets is numerical simulations that apply high performance computing techniques. Such techniques are also required for analysing the huge modern astrophysical datasets. This book examines those computing techniques. It is a collection of the lectures from the fifth and final school of the JETSET network, "Jets From Young Stars V: High Performance Computing in Astrophysics." It begins with an introduction to parallel programming techniques, with an emphasis on Message Passing Interface (MPI), before it goes on to review grid technology techniques and offer a practical introduction to Virtual Observatory. The second half of the book, then, is devoted to applications of high performance computing techniques, including 3D radiation transfer, to jet and star formation processes. Aimed at graduate students in astrophysics, this book presents state-of-the-art methods, thereby offering interesting new insights to researchers in the field.

Effective Computation in Physics

Author : Anthony Scopatz
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491901586
Total Pages : 552 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Effective Computation in Physics by : Anthony Scopatz

Download or read book Effective Computation in Physics written by Anthony Scopatz and published by "O'Reilly Media, Inc.". This book was released on 2015-06-25 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures

Statistics, Data Mining, and Machine Learning in Astronomy

Author : Željko Ivezić
Publisher : Princeton University Press
ISBN 13 : 0691198306
Total Pages : 548 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Statistics, Data Mining, and Machine Learning in Astronomy by : Željko Ivezić

Download or read book Statistics, Data Mining, and Machine Learning in Astronomy written by Željko Ivezić and published by Princeton University Press. This book was released on 2019-12-03 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: "As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. The updates in this new edition will include fixing "code rot," correcting errata, and adding some new sections. In particular, the new sections include new material on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest"--

Astrophysics through Computation

Author : Brian Koberlein
Publisher : Cambridge University Press
ISBN 13 : 1107276454
Total Pages : 385 pages
Book Rating : 4.1/5 (72 download)

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Book Synopsis Astrophysics through Computation by : Brian Koberlein

Download or read book Astrophysics through Computation written by Brian Koberlein and published by Cambridge University Press. This book was released on 2013-06-28 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally, for advanced students in physics and astrophysics. The contents are supported by more than 110 class-tested Mathematica® notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling students to appreciate the mathematical and scientific challenges that have been overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects. Downloadable Mathematica® resources available at www.cambridge.org/koberlein.