A Student's Guide to the Physical Universe PDF Download

Author: Donald Earl DeGraaf
Publisher:
ISBN:
Category : Physics
Languages : en
Pages : 132

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Author: Frank Shu
Publisher: University Science Books
ISBN: 9780935702057
Category : Science
Languages : en
Pages : 610

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"This is a truly astonishing book, invaluable for anyone with an interest in astronomy." Physics Bulletin "Just the thing for a first year university science course." Nature "This is a beautiful book in both concept and execution." Sky & Telescope

Author: Jerry B. Marion
Publisher:
ISBN:
Category :
Languages : en
Pages : 207

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Author: Konrad Bates Krauskopf
Publisher:
ISBN: 9780070357396
Category : Physical sciences
Languages : en
Pages : 755

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-The aim of this text is to present, as simply and clearly as possible, the essentials of physics, chemistry, geology, and astronomy.

Author: Konrad Krauskopf
Publisher: McGraw-Hill Education
ISBN: 9781259683466
Category : Science
Languages : en
Pages : 280

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Book Description
Another helpful resource can be found in The Physical Universe Student Study Guide. With this study guide, students will maximize their use of The Physical Universe . It supplements the text with additional, self-directed activities and complements the text by focusing on the important concepts, theories, facts, and processes presented by the authors. The Student Study Guide can be customized to your course and is available through McGraw-Hill CreateTM. Questions from the Student Study Guide are also assignable in Connect in an auto-gradable format.

Author: Yann Mambrini
Publisher: Springer Nature
ISBN: 3030781399
Category : Science
Languages : en
Pages : 518

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Book Description
This book provides a comprehensive and instructive coverage of particle physics in the early universe, in a logical way. It starts from the thermal history of the universe by investigating some of the main arguments such as Big Bang nucleosynthesis, the cosmic microwave background (CMB) and the inflation, before treating in details the direct and indirect detection of dark matter and then some aspects of the physics of neutrino. Following, it describes possible candidates for dark matter and its interactions. The book is targeted at theoretical physicists who deal with particle physics in the universe, dark matter detection and astrophysical constraints, and at particle physicists who are interested in models of inflation or reheating. This book offers also material for astrophysicists who work with quantum field theory computations. All that is useful to compute any physical process is included: mathematical tables, all the needed functions for the thermodynamics of early universe and Feynman rules. In light of this, this book acts as a crossroad between astrophysics, particle physics and cosmology.

Author: Jesse M. Kinder
Publisher: Princeton University Press
ISBN: 0691223661
Category : Science
Languages : en
Pages : 241

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A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This guide introduces a wide range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Animation Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.

Author: Jerry B. Marion
Publisher:
ISBN:
Category : Astrophysics
Languages : en
Pages : 0

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Author: Konrad Krauskopf
Publisher: McGraw-Hill Science/Engineering/Math
ISBN: 9780077236809
Category : Science
Languages : en
Pages : 280

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Author: Bill G. Aldridge
Publisher:
ISBN:
Category : Physics
Languages : en
Pages :

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