Data In Astronomy

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Big Data in Astronomy

Author : Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu
Publisher : Elsevier
Page : 440 pages
File Size : 46,9 Mb
Release : 2020-06-13
Category : Science
ISBN : 9780128190852

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Big Data in Astronomy by Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu Pdf

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)

Data Analysis in Astronomy

Author : V. di Gesù,L. Scarsi,P. Crane,J.H. Friedman,S. Levialdi
Publisher : Springer Science & Business Media
Page : 521 pages
File Size : 42,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461594338

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Data Analysis in Astronomy by V. di Gesù,L. Scarsi,P. Crane,J.H. Friedman,S. Levialdi Pdf

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.

Statistics, Data Mining, and Machine Learning in Astronomy

Author : Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray
Publisher : Princeton University Press
Page : 550 pages
File Size : 45,8 Mb
Release : 2014-01-12
Category : Science
ISBN : 9780691151687

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Statistics, Data Mining, and Machine Learning in Astronomy by Željko Ivezić,Andrew J. Connolly,Jacob T. VanderPlas,Alexander Gray Pdf

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

The Data Book of Astronomy

Author : Patrick Moore
Publisher : CRC Press
Page : 340 pages
File Size : 42,6 Mb
Release : 2000-01-01
Category : Science
ISBN : 9781420033441

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The Data Book of Astronomy by Patrick Moore Pdf

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.

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Author : Petr Skoda,Fathalrahman Adam
Publisher : Elsevier
Page : 474 pages
File Size : 49,5 Mb
Release : 2020-04-10
Category : Science
ISBN : 9780128191552

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Knowledge Discovery in Big Data from Astronomy and Earth Observation by Petr Skoda,Fathalrahman Adam Pdf

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

Data in Astronomy

Author : Carlos Jaschek
Publisher : Cambridge University Press
Page : 222 pages
File Size : 42,9 Mb
Release : 1989-03-16
Category : Nature
ISBN : 0521340942

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Data in Astronomy by Carlos Jaschek Pdf

Originally published in 1989, this book provides a comprehensive account of how to handle astronomical data. Descriptions of data acquisition, handling, and interpretation are included. The advice starts with chapters on observatories and observations, followed by discussions on the archiving of data and its presentation in the literature.

Advances in Machine Learning and Data Mining for Astronomy

Author : Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava
Publisher : CRC Press
Page : 744 pages
File Size : 41,9 Mb
Release : 2012-03-29
Category : Computers
ISBN : 9781439841747

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Advances in Machine Learning and Data Mining for Astronomy by Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava Pdf

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

Patrick Moore's Data Book of Astronomy

Author : Patrick Moore,Robin Rees
Publisher : Cambridge University Press
Page : 128 pages
File Size : 49,9 Mb
Release : 2014-01-16
Category : Science
ISBN : 9781139495226

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Patrick Moore's Data Book of Astronomy by Patrick Moore,Robin Rees Pdf

Packed with up-to-date astronomical data about the Solar System, our Galaxy and the wider Universe, this is a one-stop reference for astronomers of all levels. It gives the names, positions, sizes and other key facts of all the planets and their satellites; discusses the Sun in depth, from sunspots to solar eclipses; lists the dates for cometary returns, close-approach asteroids, and significant meteor showers; and includes 88 star charts, with the names, positions, magnitudes and spectra of the stars, along with key data on nebulae and clusters. Full of facts and figures, this is the only book you need to look up data about astronomy. It is destined to become the standard reference for everyone interested in astronomy.

Astronomical Image and Data Analysis

Author : J.-L. Starck,F. Murtagh
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 51,5 Mb
Release : 2013-04-17
Category : Science
ISBN : 9783662049068

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Astronomical Image and Data Analysis by J.-L. Starck,F. Murtagh Pdf

Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. 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.

Modern Statistical Methods for Astronomy

Author : Eric D. Feigelson,G. Jogesh Babu
Publisher : Cambridge University Press
Page : 495 pages
File Size : 41,9 Mb
Release : 2012-07-12
Category : Science
ISBN : 9780521767279

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Modern Statistical Methods for Astronomy by Eric D. Feigelson,G. Jogesh Babu Pdf

Modern Statistical Methods for Astronomy: With R Applications.

Basic Astronomical Data

Author : Kaj Aage Strand
Publisher : Unknown
Page : 530 pages
File Size : 47,6 Mb
Release : 1963
Category : Science
ISBN : UOM:39015014332905

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Basic Astronomical Data by Kaj Aage Strand Pdf

A Companion to Astronomy and Astrophysics

Author : Kenneth R. Lang
Publisher : Springer Science & Business Media
Page : 383 pages
File Size : 42,9 Mb
Release : 2007-01-15
Category : Science
ISBN : 9780387333670

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A Companion to Astronomy and Astrophysics by Kenneth R. Lang Pdf

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.

Numerical Python in Astronomy and Astrophysics

Author : Wolfram Schmidt,Marcel Völschow
Publisher : Springer Nature
Page : 250 pages
File Size : 51,5 Mb
Release : 2021-07-14
Category : Science
ISBN : 9783030703479

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Numerical Python in Astronomy and Astrophysics by Wolfram Schmidt,Marcel Völschow Pdf

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.

Directory of Astronomical Data Files

Author : National Space Science Data Center
Publisher : Unknown
Page : 292 pages
File Size : 43,8 Mb
Release : 1978
Category : Astronomy
ISBN : PSU:000005683468

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Directory of Astronomical Data Files by National Space Science Data Center Pdf

The Decade of Discovery in Astronomy and Astrophysics

Author : National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Physics and Astronomy,Astronomy and Astrophysics Survey Committee
Publisher : National Academies Press
Page : 221 pages
File Size : 53,8 Mb
Release : 1991-02-01
Category : Science
ISBN : 9780309043816

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The Decade of Discovery in Astronomy and Astrophysics by National Research Council,Division on Engineering and Physical Sciences,Commission on Physical Sciences, Mathematics, and Applications,Board on Physics and Astronomy,Astronomy and Astrophysics Survey Committee Pdf

Astronomers and astrophysicists are making revolutionary advances in our understanding of planets, stars, galaxies, and even the structure of the universe itself. The Decade of Discovery presents a survey of this exciting field of science and offers a prioritized agenda for space- and ground-based research into the twenty-first century. The book presents specific recommendations, programs, and expenditure levels to meet the needs of the astronomy and astrophysics communities. Accessible to the interested lay reader, the book explores: The technological investments needed for instruments that will be built in the next century. The importance of the computer revolution to all aspects of astronomical research. The potential usefulness of the moon as an observatory site. Policy issues relevant to the funding of astronomy and the execution of astronomical projects. The Decade of Discovery will prove valuable to science policymakers, research administrators, scientists, and students in the physical sciences, and interested lay readers.