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Big Data in Astronomy

Big Data in Astronomy
Scientific Data Processing for Advanced Radio Telescopes

by Chris Broekema,Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu

  • Publisher : Elsevier
  • Release : 2020-06-13
  • Pages : 438
  • ISBN : 012819085X
  • Language : En, Es, Fr & De
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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)

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation
Astrogeoinformatics

by Petr Skoda,Fathalrahman Adam

  • Publisher : Unknown Publisher
  • Release : 2020-03
  • Pages : 400
  • ISBN : 0128191546
  • Language : En, Es, Fr & De
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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.

Astronomy and Big Data

Astronomy and Big Data
A Data Clustering Approach to Identifying Uncertain Galaxy Morphology

by Kieran Jay Edwards,Mohamed Medhat Gaber

  • Publisher : Springer Science & Business Media
  • Release : 2014-04-12
  • Pages : 105
  • ISBN : 3319065998
  • Language : En, Es, Fr & De
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With the onset of massive cosmological data collection through media such as the Sloan Digital Sky Survey (SDSS), galaxy classification has been accomplished for the most part with the help of citizen science communities like Galaxy Zoo. Seeking the wisdom of the crowd for such Big Data processing has proved extremely beneficial. However, an analysis of one of the Galaxy Zoo morphological classification data sets has shown that a significant majority of all classified galaxies are labelled as “Uncertain”. This book reports on how to use data mining, more specifically clustering, to identify galaxies that the public has shown some degree of uncertainty for as to whether they belong to one morphology type or another. The book shows the importance of transitions between different data mining techniques in an insightful workflow. It demonstrates that Clustering enables to identify discriminating features in the analysed data sets, adopting a novel feature selection algorithms called Incremental Feature Selection (IFS). The book shows the use of state-of-the-art classification techniques, Random Forests and Support Vector Machines to validate the acquired results. It is concluded that a vast majority of these galaxies are, in fact, of spiral morphology with a small subset potentially consisting of stars, elliptical galaxies or galaxies of other morphological variants.

Radio Astronomy Image Reconstruction in the Big Data Era

Radio Astronomy Image Reconstruction in the Big Data Era
A Book

by Luke Pratley

  • Publisher : Unknown Publisher
  • Release : 2019
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Big Data, Little Data, No Data

Big Data, Little Data, No Data
Scholarship in the Networked World

by Christine L. Borgman

  • Publisher : MIT Press
  • Release : 2015
  • Pages : 383
  • ISBN : 0262028565
  • Language : En, Es, Fr & De
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An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation—six “provocations” meant to inspire discussion about the uses of data in scholarship—Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

Astronomical Data Analysis Software and Systems XXV

Astronomical Data Analysis Software and Systems XXV
Proceedings of a Conference Held at Rydges World Square, Sydney, NSW, Australia, 25-29 October 2015

by Nuria P. F. Lorente,Keith Shortridge,Randall Wayth

  • Publisher : Unknown Publisher
  • Release : 2017
  • Pages : 714
  • ISBN : 9781583819081
  • Language : En, Es, Fr & De
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Data Analysis in Astronomy

Data Analysis in Astronomy
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Journal of the Italian Astronomical Society

Journal of the Italian Astronomical Society
A Book

by Società astronomica italiana

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Astronomical Data Analysis Software and Systems XV

Astronomical Data Analysis Software and Systems XV
Proceedings of a Meeting Held in San Lorenzo de El Escorial, Spain, 2-5 October 2005

by Carlos Gabriel

  • Publisher : Unknown Publisher
  • Release : 2006
  • Pages : 791
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Optimizing Scientific Return for Astronomy Through Information Technologies

Optimizing Scientific Return for Astronomy Through Information Technologies
24-25 June, 2004, Glasgow, Scotland, United Kingdom

by Peter Joseph Quinn,Alan Bridger

  • Publisher : Society of Photo Optical
  • Release : 2004
  • Pages : 596
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.

Astronomy from Large Databases

Astronomy from Large Databases
Scientific Objectives and Methodological Approaches : Garching, 12-14 October 1987 : Proceedings

by European Southern Observatory

  • Publisher : Unknown Publisher
  • Release : 1988
  • Pages : 511
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Highlights of Astronomy

Highlights of Astronomy
A Book

by International Astronomical Union

  • Publisher : Unknown Publisher
  • Release : 2006
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Vol. 1- contain papers, etc., from 13th- General Assembly.

Astronomical Data Analysis Software and Systems XXVIII

Astronomical Data Analysis Software and Systems XXVIII
Proceedings of a Conference Held at The Hotel at the University of Maryland, College Park, Maryland, USA, 11-15 November 2018

by Peter Johannes Teuben,Marc W. Pound,Brian A. Thomas,Elizabeth M. Warner

  • Publisher : Unknown Publisher
  • Release : 2019
  • Pages : 753
  • ISBN : 9781583819333
  • Language : En, Es, Fr & De
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This volume contains papers that were presented at the 28th annual conference on Astronomical Data Analysis Software and Systems (ADASS XXVIII), which was held on 11-15 November in College Park, MD, USA. The meeting was hosted by the Astronomy Department at the University of Maryland. The main themes in this volume are: Machine Learning; Management of Large Science Projects; Astrophysical Data Visualization from Line Plots to Augmented and Virtual Reality; Data Science: Workflows, Hardware, Software, and Humanware; Science Platforms: Tools for Data Discovery and Analysis from Different Angles; DevOps Practices in Astronomy Software; Software for Solar System Astronomy; Time Domain Astronomy; Multi-Messenger Astronomy; Databases and Archives: Challenges and Solutions in the Big Data Era; Quality Assurance of Science Data; and finally Algorithms. Each thematic session started with an invited talk, followed by a number of shorter contributed talks, which resulted in 60 oral presentations. In addition, there were 158 posters, 11 floor demos, 5 focus demos, and 7 "Birds of a Feather" (BoF) sessions. In addition to the ADASS meeting, the proceedings of two satellite meetings are also included in this volume: the IVOA and an ADASS Hackathon. We also include the Astrophysical Source Code Library (ASCL) index, which registers all common codes used in astronomical research. This volume will be of great interest to a wide audience of scientists and scientific programmers who either work with or are responsible for developing complex software systems and large data volumes.

Astronomical Data Analysis Software and Systems

Astronomical Data Analysis Software and Systems
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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National Optical Astronomy Observatories Newsletter

National Optical Astronomy Observatories Newsletter
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2009
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Big Data Now: 2012 Edition

Big Data Now: 2012 Edition
A Book

by O'Reilly Media, Inc.

  • Publisher : "O'Reilly Media, Inc."
  • Release : 2012-10-23
  • Pages : 136
  • ISBN : 1449356680
  • Language : En, Es, Fr & De
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The Big Data Now anthology is relevant to anyone who creates, collectsor relies upon data. It's not just a technical book or just a businessguide. Data is ubiquitous and it doesn't pay much attention toborders, so we've calibrated our coverage to follow it wherever itgoes. In the first edition of Big Data Now, the O'Reilly team tracked thebirth and early development of data tools and data science. Now, withthis second edition, we're seeing what happens when big data grows up:how it's being applied, where it's playing a role, and theconsequences -- good and bad alike -- of data's ascendance. We've organized the second edition of Big Data Now into five areas: Getting Up to Speed With Big Data -- Essential information on thestructures and definitions of big data. Big Data Tools, Techniques, and Strategies -- Expert guidance forturning big data theories into big data products. The Application of Big Data -- Examples of big data in action,including a look at the downside of data. What to Watch for in Big Data -- Thoughts on how big data will evolveand the role it will play across industries and domains. Big Data and Health Care -- A special section exploring thepossibilities that arise when data and health care come together.

Astronomy

Astronomy
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1987
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Astronomical Data Analysis Software and Systems XVIII

Astronomical Data Analysis Software and Systems XVIII
Proceedings of a Workshop Held at Hotel Loews Le Concorde, Quebec City, QC, Canada, 2-5 November 2008

by David A. Bohlender,Daniel Durand,Patrick Dowler

  • Publisher : Astronomical Society of the pacific
  • Release : 2009
  • Pages : 588
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Journal of Astrophysics and Astronomy

Journal of Astrophysics and Astronomy
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2007
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Astronomical Data Analysis Software and Systems XI

Astronomical Data Analysis Software and Systems XI
Proceedings of a Meeting Held at Victoria, British Columbia, Canada, 30 September-3 October 2001

by David A. Bohlender,Daniel Durand,T. H. Handley

  • Publisher : Astronomical Society of the pacific
  • Release : 2002
  • Pages : 522
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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