Data In Astronomy
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Author |
: Linghe Kong |
Publisher |
: Elsevier |
Total Pages |
: 440 |
Release |
: 2020-06-13 |
ISBN-10 |
: 9780128190852 |
ISBN-13 |
: 012819085X |
Rating |
: 4/5 (52 Downloads) |
Synopsis Big Data in Astronomy by : Linghe Kong
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 |
: Petr Skoda |
Publisher |
: Elsevier |
Total Pages |
: 474 |
Release |
: 2020-04-10 |
ISBN-10 |
: 9780128191552 |
ISBN-13 |
: 0128191554 |
Rating |
: 4/5 (52 Downloads) |
Synopsis Knowledge Discovery in Big Data from Astronomy and Earth Observation by : Petr Skoda
Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics bridges the gap between astronomy and geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly becoming cross-disciplinary as the phenomena of Big Data is becoming common place. This book provides insight into the common workflows and data science tools used for big data in astronomy and geoscience. After establishing similarity in data gathering, pre-processing and handling, the data science aspects are illustrated in the context of both fields. Software, hardware and algorithms of big data are addressed. Finally, the book offers insight into the emerging science which combines data and expertise from both fields in studying the effect of cosmos on the earth and its inhabitants. - Addresses both astronomy and geosciences in parallel, from a big data perspective - Includes introductory information, key principles, applications and the latest techniques - Well-supported by computing and information science-oriented chapters to introduce the necessary knowledge in these fields
Author |
: Željko Ivezić |
Publisher |
: Princeton University Press |
Total Pages |
: 550 |
Release |
: 2014-01-12 |
ISBN-10 |
: 9780691151687 |
ISBN-13 |
: 0691151687 |
Rating |
: 4/5 (87 Downloads) |
Synopsis Statistics, Data Mining, and Machine Learning in Astronomy by : Željko Ivezić
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 |
: J.-L. Starck |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 338 |
Release |
: 2007-06-21 |
ISBN-10 |
: 9783540330257 |
ISBN-13 |
: 3540330259 |
Rating |
: 4/5 (57 Downloads) |
Synopsis Astronomical Image and Data Analysis by : J.-L. Starck
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 |
: V. di Gesù |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 521 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461594338 |
ISBN-13 |
: 1461594332 |
Rating |
: 4/5 (38 Downloads) |
Synopsis Data Analysis in Astronomy by : V. di Gesù
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 |
: Patrick Moore |
Publisher |
: CRC Press |
Total Pages |
: 340 |
Release |
: 2000-01-01 |
ISBN-10 |
: 9781420033441 |
ISBN-13 |
: 1420033441 |
Rating |
: 4/5 (41 Downloads) |
Synopsis The Data Book of Astronomy by : Patrick Moore
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 |
: Michael J. Way |
Publisher |
: CRC Press |
Total Pages |
: 744 |
Release |
: 2012-03-29 |
ISBN-10 |
: 9781439841747 |
ISBN-13 |
: 1439841748 |
Rating |
: 4/5 (47 Downloads) |
Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way
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 |
: Eric D. Feigelson |
Publisher |
: Cambridge University Press |
Total Pages |
: 495 |
Release |
: 2012-07-12 |
ISBN-10 |
: 9780521767279 |
ISBN-13 |
: 052176727X |
Rating |
: 4/5 (79 Downloads) |
Synopsis Modern Statistical Methods for Astronomy by : Eric D. Feigelson
Modern Statistical Methods for Astronomy: With R Applications.
Author |
: Kenneth R. Lang |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 383 |
Release |
: 2007-01-15 |
ISBN-10 |
: 9780387333670 |
ISBN-13 |
: 0387333673 |
Rating |
: 4/5 (70 Downloads) |
Synopsis A Companion to Astronomy and Astrophysics by : Kenneth R. Lang
Astronomy and Astrophysics is a comprehensive, fundamental, and up-to-date reference book. It is filled with vital information and basic facts for amateur astronomers and professional astrophysicists, and for anyone interested in the Universe, from the Earth and other planets to the stars, galaxies and beyond. An exceptionally thorough Index cross-references concepts, discoveries and individuals in both the Timeline section and Dictionary section. The combined result is a unique stand-alone reference volume in which the reader can quickly locate information, while also discovering new and unexpected knowledge.
Author |
: Jolien D. E. Creighton |
Publisher |
: John Wiley & Sons |
Total Pages |
: 403 |
Release |
: 2012-01-09 |
ISBN-10 |
: 9783527636044 |
ISBN-13 |
: 3527636048 |
Rating |
: 4/5 (44 Downloads) |
Synopsis Gravitational-Wave Physics and Astronomy by : Jolien D. E. Creighton
This most up-to-date, one-stop reference combines coverage of both theory and observational techniques, with introductory sections to bring all readers up to the same level. Written by outstanding researchers directly involved with the scientific program of the Laser Interferometer Gravitational-Wave Observatory (LIGO), the book begins with a brief review of general relativity before going on to describe the physics of gravitational waves and the astrophysical sources of gravitational radiation. Further sections cover gravitational wave detectors, data analysis, and the outlook of gravitational wave astronomy and astrophysics.