Big Data in Astronomy Book

Big Data in Astronomy


  • Author : Linghe Kong
  • Publisher : Elsevier
  • Release Date : 2020-06-13
  • Genre: Science
  • Pages : 438
  • ISBN 10 : 9780128190852

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Big Data in Astronomy Excerpt :

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 Book

Knowledge Discovery in Big Data from Astronomy and Earth Observation


  • Author : Petr Skoda
  • Publisher : Elsevier
  • Release Date : 2020-04-10
  • Genre: Science
  • Pages : 472
  • ISBN 10 : 9780128191552

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Knowledge Discovery in Big Data from Astronomy and Earth Observation Excerpt :

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

Advances in Machine Learning and Data Mining for Astronomy Book

Advances in Machine Learning and Data Mining for Astronomy


  • Author : Michael J. Way
  • Publisher : CRC Press
  • Release Date : 2012-03-29
  • Genre: Computers
  • Pages : 744
  • ISBN 10 : 9781439841747

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Advances in Machine Learning and Data Mining for Astronomy Excerpt :

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

Knowledge Discovery in Big Data from Astronomy and Earth Observation Book

Knowledge Discovery in Big Data from Astronomy and Earth Observation


  • Author : Petr Skoda
  • Publisher : Unknown
  • Release Date : 2020-03
  • Genre: Uncategoriezed
  • Pages : 400
  • ISBN 10 : 9780128191545

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Knowledge Discovery in Big Data from Astronomy and Earth Observation Excerpt :

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.

Statistics  Data Mining  and Machine Learning in Astronomy Book

Statistics Data Mining and Machine Learning in Astronomy


  • Author : Željko Ivezić
  • Publisher : Princeton University Press
  • Release Date : 2014-01-12
  • Genre: Science
  • Pages : 560
  • ISBN 10 : 9780691151687

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Statistics Data Mining and Machine Learning in Astronomy Excerpt :

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

Astronomy and Big Data Book

Astronomy and Big Data


  • Author : Kieran Jay Edwards
  • Publisher : Springer Science & Business Media
  • Release Date : 2014-04-12
  • Genre: Technology & Engineering
  • Pages : 105
  • ISBN 10 : 9783319065991

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Astronomy and Big Data Excerpt :

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.

Data Analysis in Astronomy Book

Data Analysis in Astronomy


  • Author : V. di Gesù
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Science
  • Pages : 541
  • ISBN 10 : 9781461594338

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Data Analysis in Astronomy Excerpt :

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 Book

Statistics Data Mining and Machine Learning in Astronomy


  • Author : Željko Ivezić
  • Publisher : Princeton University Press
  • Release Date : 2019-12-03
  • Genre: Computers
  • Pages : 560
  • ISBN 10 : 9780691198309

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Statistics Data Mining and Machine Learning in Astronomy Excerpt :

Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys 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, engage with the different methods, and adapt them to their own fields of interest. An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date. Fully revised and expanded 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 astronomical surveys Uses a freely available Python codebase throughout Ideal for graduate students, advanced undergraduates, and working astronomers

Modern Statistical Methods for Astronomy Book

Modern Statistical Methods for Astronomy


  • Author : Eric D. Feigelson
  • Publisher : Cambridge University Press
  • Release Date : 2012-07-12
  • Genre: Science
  • Pages : 476
  • ISBN 10 : 9780521767279

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Modern Statistical Methods for Astronomy Excerpt :

"Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Yet most astronomers still use a narrow suite of traditional statistical methods. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public-domain R statistical software environment"--

Big Data Book
Score: 3.5
From 12 Ratings

Big Data


  • Author : Viktor Mayer-Schönberger
  • Publisher : Houghton Mifflin Harcourt
  • Release Date : 2013
  • Genre: Business & Economics
  • Pages : 242
  • ISBN 10 : 9780544002692

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Big Data Excerpt :

This revelatory exploration of big data, which refers to our newfound ability to crunch vast amounts of information, analyze it instantly and draw profound and surprising conclusions from it, discusses how it will change our lives and what we can do to protect ourselves from its hazards. 75,000 first printing.

The Decade of Discovery in Astronomy and Astrophysics Book

The Decade of Discovery in Astronomy and Astrophysics


  • Author : National Research Council
  • Publisher : National Academies Press
  • Release Date : 1991-02-01
  • Genre: Science
  • Pages : 200
  • ISBN 10 : 9780309043816

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The Decade of Discovery in Astronomy and Astrophysics Excerpt :

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. Alternate Selection, Astronomy Book Club

The Astronomy Book Book

The Astronomy Book


  • Author : DK
  • Publisher : Penguin
  • Release Date : 2021-02-02
  • Genre: Science
  • Pages : 352
  • ISBN 10 : 9781465470713

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The Astronomy Book Excerpt :

Since the dawn of humankind, people have looked upward to the heavens and tried to understand them. This encyclopedia takes you on an expedition through time and space to discover our place in the universe. We invite you to take a journey through the wonders of the universe. Explore the cosmos, from planets to black holes, the Big Bang, and everything in-between! Get ready to discover the story of the universe one page at a time! This educational book for young adults will launch you on a wild trip through the cosmos and the incredible discoveries throughout history. Filled to the brim with beautifully illustrated flowcharts, graphics, and jargon-free language, The Astronomy Book breaks down hard-to-grasp concepts to guide you in understanding almost 100 big astronomical ideas. Big Ideas How do we measure the universe? Where is the event horizon? What is dark matter? Now you can find out all the answers to these questions and so much more in this inquisitive book about our universe! Using incredibly clever visual learning devices like step-by-step diagrams, you'll learn more about captivating topics from the Copernican Revolution. Dive into the mind-boggling theories of recent science in a user-friendly format that makes the information easy to follow. Explore the biographies, theories, and discoveries of key astronomers through the ages such as Ptolemy, Galileo, Newton, Hubble, and Hawking. To infinity and beyond! Journey through space and time with us: - From Myth to Science 600 BCE - 1550 CE - The Telescope Revolution 1550 - 1750 - Uranus to Neptune 1750 - 1850 - The Rise of Astrophysics 1850 - 1915 - Atom, Stars, And Galaxies 1915 - 1950 - New Windows on The Universe 1950 - 1917 - The Triumph of Technology 1975 - Present The Series Simply Explained With over 7 million copies sold worldwide to date, The Astronomy Book is part of the award-winning Big Ideas Simply Explained series from DK Books. It uses innovative graphics along with engaging writing to make compl

The Last Stargazers Book
Score: 4.5
From 2 Ratings

The Last Stargazers


  • Author : Emily Levesque
  • Publisher : Sourcebooks, Inc.
  • Release Date : 2020-08-04
  • Genre: Science
  • Pages : 336
  • ISBN 10 : 9781492681083

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The Last Stargazers Excerpt :

The story of the people who see beyond the stars—an astronomy book for adults still spellbound by the night sky. Humans from the earliest civilizations through today have craned their necks each night, using the stars to orient themselves in the large, strange world around them. Stargazing is a pursuit that continues to fascinate us: from Copernicus to Carl Sagan, astronomers throughout history have spent their lives trying to answer the biggest questions in the universe. Now, award-winning astronomer Emily Levesque shares the stories of modern-day stargazers in this new nonfiction release, the people willing to adventure across high mountaintops and to some of the most remote corners of the planet, all in the name of science. From the lonely quiet of midnight stargazing to tall tales of wild bears loose in the observatory, The Last Stargazers is a love letter to astronomy and an affirmation of the crucial role that humans can and must play in the future of scientific discovery. In this sweeping work of narrative science, Levesque shows how astronomers in this scrappy and evolving field are going beyond the machines to infuse creativity and passion into the stars and space and inspires us all to peer skyward in pursuit of the universe's secrets.

Education and Heritage in the Era of Big Data in Astronomy  IAU S367  Book

Education and Heritage in the Era of Big Data in Astronomy IAU S367


  • Author : Rosa M. Ros
  • Publisher : Cambridge University Press
  • Release Date : 2022-03-24
  • Genre: Science
  • Pages : 544
  • ISBN 10 : 1108490808

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Education and Heritage in the Era of Big Data in Astronomy IAU S367 Excerpt :

For thousands of years people have looked to the skies to better understand the universe and our place within it. Crucially it is the role of teachers and experts to make astronomical concepts accessible to the next generation, and to pass on our collective knowledge for others to build on. This volume brings together contributions from modern pioneers in astronomy education, as presented at the online IAU Symposium 367 on 'Education and Heritage in the Era of Big Data in Astronomy'. Topics covered include cultural astronomy and heritage, technological advances, citizen science, inclusivity initiatives, interdisciplinary science education and open astronomy. Particular focus is given to how emerging technologies provide new opportunities to connect with budding astronomers. Many of the techniques discussed can be applied by educators at different levels and in a range of settings, from school classrooms and lecture halls to informal public spaces such as museums and planetariums.