The Data Book Of Astronomy
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Author | : J.-L. Starck |
Publisher | : Springer Science & Business Media |
Total Pages | : 338 |
Release | : 2007-06-21 |
Genre | : 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 |
Total Pages | : 744 |
Release | : 2012-03-29 |
Genre | : 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
Author | : Željko Ivezić |
Publisher | : Princeton University Press |
Total Pages | : 550 |
Release | : 2014-01-12 |
Genre | : Science |
ISBN | : 0691151687 |
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. 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. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers
Author | : Danny R. Faulkner |
Publisher | : New Leaf Publishing Group |
Total Pages | : 96 |
Release | : 2014-09-01 |
Genre | : Religion |
ISBN | : 0890518343 |
The universe is an amazing declaration of the glory and power of God! Beautiful and breathtaking in its scale, the vast expanse of the universe is one that we struggle to study, understand, or even comprehend in terms of its purpose and size. Now take an incredible look at the mysteries and marvels of space in The New Astronomy Book! Discover the best ways to observe the heavens, along with up-to-date astronomical data and conceptsLearn about the dynamics of planets, stars, galaxies, and models for the cosmology of the universeWhat we know and are still trying to discover about planets, moons, and comets within our own solar system. If you watch the stars at night, you will see how they change. This speaks to the enormity and intricacy of design in the universe. While the stars appear timeless, they instead reflect an all–powerful Creator who speaks of them in the Bible. Many ancient pagan cultures taught that the changing stars caused the seasons to change, but unlike these pagan teachings, the Book of Job gives credit to God for both changing stars and seasons (Job 38:31-33). When Job looked at Orion, he saw about what we see today, even though he may have lived as much as 4,000 years ago. Includes a 24-inch, full-color, pull-out poster!
Author | : V. di Gesù |
Publisher | : Springer Science & Business Media |
Total Pages | : 521 |
Release | : 2012-12-06 |
Genre | : Science |
ISBN | : 1461594332 |
The international Workshop on "Data Analysis in Astronomy" was in tended to give a presentation of experiences that have been acqui red in data analysis and image processing, developments and appli cations that are steadly growing up in Astronomy. The quality and the quantity of ground and satellite observations require more so phisticated data analysis methods and better computational tools. The Workshop has reviewed the present state of the art, explored new methods and discussed a wide range of applications. The topics which have been selected have covered the main fields of interest for data analysis in Astronomy. The Workshop has been focused on the methods used and their significant applications. Results which gave a major contribution to the physical interpre tation of the data have been stressed in the presentations. Atten tion has been devoted to the description of operational system for data analysis in astronomy. The success of the meeting has been the results of the coordinated effort of several people from the organizers to those who presen ted a contribution and/or took part in the discussion. We wish to thank the members of the Workshop scientific committee Prof. M. Ca paccioli, Prof. G. De Biase, Prof. G. Sedmak, Prof. A. Zichichi and of the local organizing committee Dr. R. Buccheri and Dr. M.C. Macca rone together with Miss P. Savalli and Dr. A. Gabriele of the E. Majo rana Center for their support and the unvaluable part in arranging the Workshop.
Author | : Jonathan Henry |
Publisher | : Master Books |
Total Pages | : 51 |
Release | : 2006-07-31 |
Genre | : Juvenile Nonfiction |
ISBN | : 9781893345614 |
These five study guides, available for each book in the Wonders of Creation series, are comprehensive and invaluable for teaching settings. With terms, short answer questions, discussion questions and activity ideas, each guide will enhance the learning experience.
Author | : Patrick Moore |
Publisher | : CRC Press |
Total Pages | : 538 |
Release | : 2000-01-01 |
Genre | : Science |
ISBN | : 1420033441 |
Filled with data about the Earth, Moon, the planets, the stars, our Galaxy, and the myriad galaxies in deep space, this invaluable resource reveals the latest scientific discoveries about black holes, quasars, and the origins of the Universe. It includes maps supported by detailed tables of the names, positions, magnitudes, and spectra of the main stars in each constellation along with key data on galaxies, nebulae, and clusters. MNASSA wrote, "This book fills a niche with detailed astronomical data and concise explanations, all at an accessible level it is an excellent resource, and probably will be the first book I shall reach for.
Author | : Asis Kumar Chattopadhyay |
Publisher | : Springer |
Total Pages | : 356 |
Release | : 2014-10-01 |
Genre | : Mathematics |
ISBN | : 149391507X |
This book introduces “Astrostatistics” as a subject in its own right with rewarding examples, including work by the authors with galaxy and Gamma Ray Burst data to engage the reader. This includes a comprehensive blending of Astrophysics and Statistics. The first chapter’s coverage of preliminary concepts and terminologies for astronomical phenomenon will appeal to both Statistics and Astrophysics readers as helpful context. Statistics concepts covered in the book provide a methodological framework. A unique feature is the inclusion of different possible sources of astronomical data, as well as software packages for converting the raw data into appropriate forms for data analysis. Readers can then use the appropriate statistical packages for their particular data analysis needs. The ideas of statistical inference discussed in the book help readers determine how to apply statistical tests. The authors cover different applications of statistical techniques already developed or specifically introduced for astronomical problems, including regression techniques, along with their usefulness for data set problems related to size and dimension. Analysis of missing data is an important part of the book because of its significance for work with astronomical data. Both existing and new techniques related to dimension reduction and clustering are illustrated through examples. There is detailed coverage of applications useful for classification, discrimination, data mining and time series analysis. Later chapters explain simulation techniques useful for the development of physical models where it is difficult or impossible to collect data. Finally, coverage of the many R programs for techniques discussed makes this book a fantastic practical reference. Readers may apply what they learn directly to their data sets in addition to the data sets included by the authors.
Author | : Linghe Kong |
Publisher | : Elsevier |
Total Pages | : 440 |
Release | : 2020-06-13 |
Genre | : Science |
ISBN | : 012819085X |
Big Data in Radio Astronomy: Scientific Data Processing for Advanced Radio Telescopes provides the latest research developments in big data methods and techniques for radio astronomy. Providing examples from such projects as the Square Kilometer Array (SKA), the world's largest radio telescope that generates over an Exabyte of data every day, the book offers solutions for coping with the challenges and opportunities presented by the exponential growth of astronomical data. Presenting state-of-the-art results and research, this book is a timely reference for both practitioners and researchers working in radio astronomy, as well as students looking for a basic understanding of big data in astronomy. - Bridges the gap between radio astronomy and computer science - Includes coverage of the observation lifecycle as well as data collection, processing and analysis - Presents state-of-the-art research and techniques in big data related to radio astronomy - Utilizes real-world examples, such as Square Kilometer Array (SKA) and Five-hundred-meter Aperture Spherical radio Telescope (FAST)
Author | : Harlow Shapley |
Publisher | : |
Total Pages | : 456 |
Release | : 1960 |
Genre | : Science |
ISBN | : |
The phenomenal growth of modern astronomy, including the invention of the coronagraph and major developments in telescope design and photographic technique, is unparalleled in many centuries. Theories of relativity, the concept and measurement of the expanding universe, the location of sun and planets far from the center of the Milky Way, the exploration of the interiors of stars, the pulsation theory of Cepheid variation, and investigations of interstellar space have profoundly altered the astronomer's approach. These fundamental discoveries are reported in papers by such eminent scientists as Albert Einstein, Sir Arthur S. Eddington, Henry Norris Russell, Sir James Jeans, Meghnad Saha, Otto Struve, Fred L. Whipple, Bernard Lyot, Jan H. Oort, and George Ellery Hale. The Source Book's 69 contributions represent all fields of astronomy. For example, there are reports on the equivalence of mass and energy (E = mc ) of the special theory of relativity; building the 200-inch Palomar telescope; the scattering of galaxies suggesting a rapidly expanding universe; stellar evolution; and the Big Bang and Steady State theories of the universe's origin.