Astronomical Algorithms
Author : Jean Meeus
Publisher :
Page : 448 pages
File Size : 48,66 MB
Release : 1991
Category : Mathematics
ISBN :
Author : Jean Meeus
Publisher :
Page : 448 pages
File Size : 48,66 MB
Release : 1991
Category : Mathematics
ISBN :
Author : Peter Duffett-Smith
Publisher : Cambridge University Press
Page : 276 pages
File Size : 19,90 MB
Release : 1990-06-29
Category : Computers
ISBN : 9780521389952
The first edition of this very successful book was one winner of the Astronomical Society of the Pacific 'Astronomy Book of the Year' awards in 1986. There are a further seven subroutines in the new edition which can be linked in any combination with the existing twenty-six. Written in a portable version of BASIC, it enables the amateur astronomer to make calculations using a personal computer. The routines are not specific to any make of machine and are user friendly in that they require only a broad understanding of any particular problem. Since the programs themselves take care of details, they can be used for example to calculate the time of rising of any of the planets in any part of the world at any time in the future or past, or they may be used to find the circumstances of the next solar eclipse visible from a particular place. In fact, almost every problem likely to be encountered by the amateur astronomer can be solved by a suitable combination of the routines given in the book.
Author : United States Naval Observatory. Nautical Almanac Office
Publisher : University Science Books
Page : 786 pages
File Size : 27,38 MB
Release : 1992
Category : Science
ISBN : 9781891389450
This well-schooled text provides a detailed description of how to perform practical astronomy or spherical astronomy. It is an authoritative source on astronomical phenomena and calendars.
Author : Oliver Montenbruck
Publisher : Springer Science & Business Media
Page : 309 pages
File Size : 45,74 MB
Release : 2013-04-17
Category : Science
ISBN : 3642034365
A thorough introduction to the computation of celestial mechanics, covering everything from astronomical and computational theory to the construction of rapid and accurate applications programs. The book supplies the necessary knowledge and software solutions for determining and predicting positions of the Sun, Moon, planets, minor planets and comets, solar eclipses, stellar occultations by the Moon, phases of the Moon and much more. This completely revised edition takes advantage of C++, and individual applications may be efficiently realized through the use of a powerful module library. The accompanying CD-ROM contains the complete, fully documented and commented source codes as well as executable programs for Windows 98/2000/XP and LINUX.
Author : Mathieu Ossendrijver
Publisher : Springer Science & Business Media
Page : 636 pages
File Size : 24,39 MB
Release : 2012-04-24
Category : Mathematics
ISBN : 1461437822
This book contains new translations and a new analysis of the procedure texts of Babylonian mathematical astronomy, the earliest known form of mathematical astronomy of the ancient world. The translations are based on a modern approach incorporating recent insights from Assyriology and translation science. The work contains updated and expanded interpretations of the astronomical algorithms and investigations of previously ignored linguistic, mathematical and other aspects of the procedure texts. Special attention is paid to issues of mathematical representation and over 100 photos of cuneiform tablets dating from 350-50 BCE are presented. In 2-3 years, the author intends to continue his study of Babylonian mathematical astronomy with a new publication which will contain new editions and reconstructions of approx. 250 tabular texts and a new philological, astronomical and mathematical analysis of these texts. Tabular texts are end products of Babylonian math astronomy, computed with algorithms that are formulated in the present volume, Procedure Texts.
Author : Peter Duffett-Smith
Publisher : Cambridge University Press
Page : 172 pages
File Size : 35,13 MB
Release : 1997
Category : Nature
ISBN : 9780521560528
Allows anyone to make astronomical calculations easily and accurately, ready to use on any IBM PC-type computer.
Author : J. M. A. Danby
Publisher :
Page : 428 pages
File Size : 33,44 MB
Release : 1997
Category : Computers
ISBN :
Author : J. L. Lawrence
Publisher : MIT Press
Page : 393 pages
File Size : 18,65 MB
Release : 2019-05-14
Category : Science
ISBN : 0262351773
A step-by-step guide to predicting and calculating the positions of stars, planets, the sun, the moon, and satellites using a personal computer and high school mathematics—for amateur astronomers Our knowledge of the universe is expanding rapidly, as space probes launched decades ago begin to send information back to earth. There has never been a better time to learn about how planets, stars, and satellites move through the heavens. This book is for amateur astronomers who want to move beyond pictures of constellations in star guides and solve the mysteries of a starry night. It is a book for readers who have wondered where Saturn will appear in the night sky, when the sun will rise and set—or how long the space station will be over their location. In Celestial Calculations, J. L. Lawrence shows readers how to find the answers to these and other astronomy questions with only a personal computer and high school math. Using an easy-to-follow step-by-step approach, Lawrence explains what calculations are required, why they are needed, and how they all fit together. Lawrence begins with basic principles: unit of measure conversions, time conversions, and coordinate systems. He combines these concepts into a computer program that can calculate the location of a star and uses the same methods for predicting the locations of the sun, moon, and planets. He then shows how to use these methods for locating the many satellites we have sent into orbit. Finally, he describes a variety of resources and tools available to the amateur astronomer, including star charts and astronomical tables. Diagrams illustrate the major concepts, and computer programs that implement the algorithms are included. Photographs of actual celestial objects accompany the text, and interesting astronomical facts are interspersed throughout. Source code (in Python 3, JAVA, and Visual Basic) and executables for all the programs and examples presented in the book are available for download at https://CelestialCalculations.github.io.
Author : J.-L. Starck
Publisher : Springer Science & Business Media
Page : 338 pages
File Size : 18,56 MB
Release : 2007-06-21
Category : Science
ISBN : 3540330259
With information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis using a modern arsenal of powerful techniques. It treats those innovative methods of image, signal, and data processing that are proving to be both effective and widely relevant. The authors are leaders in this rapidly developing field and draw upon decades of experience. They have been playing leading roles in international projects such as the Virtual Observatory and the Grid. The book addresses not only students and professional astronomers and astrophysicists, but also serious amateur astronomers and specialists in earth observation, medical imaging, and data mining. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools. This second edition of Starck and Murtagh's highly appreciated reference again deals with topics that are at or beyond the state of the art. It presents material which is more algorithmically oriented than most alternatives and broaches new areas like ridgelet and curvelet transforms. Throughout the book various additions and updates have been made.
Author : Michael J. Way
Publisher : CRC Press
Page : 744 pages
File Size : 50,32 MB
Release : 2012-03-29
Category : Computers
ISBN : 1439841748
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines