Data In Astronomy

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Big Data in Astronomy

Author : Linghe Kong
Publisher : Elsevier
ISBN 13 : 012819085X
Total Pages : 440 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Big Data in Astronomy by : Linghe Kong

Download or read book Big Data in Astronomy written by Linghe Kong and published by Elsevier. This book was released on 2020-06-13 with total page 440 pages. Available in PDF, EPUB and Kindle. Book 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)

Statistics, Data Mining, and Machine Learning in Astronomy

Author : Željko Ivezić
Publisher : Princeton University Press
ISBN 13 : 0691151687
Total Pages : 550 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Statistics, Data Mining, and Machine Learning in Astronomy by : Željko Ivezić

Download or read book Statistics, Data Mining, and Machine Learning in Astronomy written by Željko Ivezić and published by Princeton University Press. This book was released on 2014-01-12 with total page 550 pages. Available in PDF, EPUB and Kindle. Book 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

Knowledge Discovery in Big Data from Astronomy and Earth Observation

Author : Petr Skoda
Publisher : Elsevier
ISBN 13 : 0128191554
Total Pages : 474 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Knowledge Discovery in Big Data from Astronomy and Earth Observation by : Petr Skoda

Download or read book Knowledge Discovery in Big Data from Astronomy and Earth Observation written by Petr Skoda and published by Elsevier. This book was released on 2020-04-10 with total page 474 pages. Available in PDF, EPUB and Kindle. Book 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

Data Analysis in Astronomy

Author : V. di Gesù
Publisher : Springer Science & Business Media
ISBN 13 : 1461594332
Total Pages : 521 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Data Analysis in Astronomy by : V. di Gesù

Download or read book Data Analysis in Astronomy written by V. di Gesù and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 521 pages. Available in PDF, EPUB and Kindle. Book 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.

Statistical Methods for Astronomical Data Analysis

Author : Asis Kumar Chattopadhyay
Publisher : Springer
ISBN 13 : 149391507X
Total Pages : 356 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Statistical Methods for Astronomical Data Analysis by : Asis Kumar Chattopadhyay

Download or read book Statistical Methods for Astronomical Data Analysis written by Asis Kumar Chattopadhyay and published by Springer. This book was released on 2014-10-01 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Data Book of Astronomy

Author : Patrick Moore
Publisher : CRC Press
ISBN 13 : 1420033441
Total Pages : 340 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis The Data Book of Astronomy by : Patrick Moore

Download or read book The Data Book of Astronomy written by Patrick Moore and published by CRC Press. This book was released on 2000-01-01 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data in Astronomy

Author : Carlos Jaschek
Publisher : Cambridge University Press
ISBN 13 : 9780521340946
Total Pages : 222 pages
Book Rating : 4.3/5 (49 download)

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Book Synopsis Data in Astronomy by : Carlos Jaschek

Download or read book Data in Astronomy written by Carlos Jaschek and published by Cambridge University Press. This book was released on 1989-03-16 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Publisher : CRC Press
ISBN 13 : 1439841748
Total Pages : 744 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Advances in Machine Learning and Data Mining for Astronomy by : Michael J. Way

Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 744 pages. Available in PDF, EPUB and Kindle. Book 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

Modern Statistical Methods for Astronomy

Author : Eric D. Feigelson
Publisher : Cambridge University Press
ISBN 13 : 052176727X
Total Pages : 495 pages
Book Rating : 4.5/5 (217 download)

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Book Synopsis Modern Statistical Methods for Astronomy by : Eric D. Feigelson

Download or read book Modern Statistical Methods for Astronomy written by Eric D. Feigelson and published by Cambridge University Press. This book was released on 2012-07-12 with total page 495 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Statistical Methods for Astronomy: With R Applications.

The Decade of Discovery in Astronomy and Astrophysics

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309043816
Total Pages : 221 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis The Decade of Discovery in Astronomy and Astrophysics by : National Research Council

Download or read book The Decade of Discovery in Astronomy and Astrophysics written by National Research Council and published by National Academies Press. This book was released on 1991-02-01 with total page 221 pages. Available in PDF, EPUB and Kindle. Book 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.

Numerical Python in Astronomy and Astrophysics

Author : Wolfram Schmidt
Publisher : Springer Nature
ISBN 13 : 3030703479
Total Pages : 250 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Numerical Python in Astronomy and Astrophysics by : Wolfram Schmidt

Download or read book Numerical Python in Astronomy and Astrophysics written by Wolfram Schmidt and published by Springer Nature. This book was released on 2021-07-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Gravitational-Wave Physics and Astronomy

Author : Jolien D. E. Creighton
Publisher : John Wiley & Sons
ISBN 13 : 3527636048
Total Pages : 403 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Gravitational-Wave Physics and Astronomy by : Jolien D. E. Creighton

Download or read book Gravitational-Wave Physics and Astronomy written by Jolien D. E. Creighton and published by John Wiley & Sons. This book was released on 2012-01-09 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analysis in Cosmology

Author : Vicent J. Martinez
Publisher : Springer
ISBN 13 : 3540447679
Total Pages : 636 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Data Analysis in Cosmology by : Vicent J. Martinez

Download or read book Data Analysis in Cosmology written by Vicent J. Martinez and published by Springer. This book was released on 2009-07-09 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines. Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.

Basic Astronomical Data

Author : Kaj Aage Strand
Publisher :
ISBN 13 :
Total Pages : 530 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Basic Astronomical Data by : Kaj Aage Strand

Download or read book Basic Astronomical Data written by Kaj Aage Strand and published by . This book was released on 1963 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt:

New Worlds, New Horizons in Astronomy and Astrophysics

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309157994
Total Pages : 324 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis New Worlds, New Horizons in Astronomy and Astrophysics by : National Research Council

Download or read book New Worlds, New Horizons in Astronomy and Astrophysics written by National Research Council and published by National Academies Press. This book was released on 2011-02-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Driven by discoveries, and enabled by leaps in technology and imagination, our understanding of the universe has changed dramatically during the course of the last few decades. The fields of astronomy and astrophysics are making new connections to physics, chemistry, biology, and computer science. Based on a broad and comprehensive survey of scientific opportunities, infrastructure, and organization in a national and international context, New Worlds, New Horizons in Astronomy and Astrophysics outlines a plan for ground- and space- based astronomy and astrophysics for the decade of the 2010's. Realizing these scientific opportunities is contingent upon maintaining and strengthening the foundations of the research enterprise including technological development, theory, computation and data handling, laboratory experiments, and human resources. New Worlds, New Horizons in Astronomy and Astrophysics proposes enhancing innovative but moderate-cost programs in space and on the ground that will enable the community to respond rapidly and flexibly to new scientific discoveries. The book recommends beginning construction on survey telescopes in space and on the ground to investigate the nature of dark energy, as well as the next generation of large ground-based giant optical telescopes and a new class of space-based gravitational observatory to observe the merging of distant black holes and precisely test theories of gravity. New Worlds, New Horizons in Astronomy and Astrophysics recommends a balanced and executable program that will support research surrounding the most profound questions about the cosmos. The discoveries ahead will facilitate the search for habitable planets, shed light on dark energy and dark matter, and aid our understanding of the history of the universe and how the earliest stars and galaxies formed. The book is a useful resource for agencies supporting the field of astronomy and astrophysics, the Congressional committees with jurisdiction over those agencies, the scientific community, and the public.

Asteroseismic Data Analysis

Author : Sarbani Basu
Publisher : Princeton University Press
ISBN 13 : 1400888204
Total Pages : 352 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Asteroseismic Data Analysis by : Sarbani Basu

Download or read book Asteroseismic Data Analysis written by Sarbani Basu and published by Princeton University Press. This book was released on 2017-09-05 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Studies of stars and stellar populations, and the discovery and characterization of exoplanets, are being revolutionized by new satellite and telescope observations of unprecedented quality and scope. Some of the most significant advances have been in the field of asteroseismology, the study of stars by observation of their oscillations. Asteroseismic Data Analysis gives a comprehensive technical introduction to this discipline. This book not only helps students and researchers learn about asteroseismology; it also serves as an essential instruction manual for those entering the field. The book presents readers with the foundational techniques used in the analysis and interpretation of asteroseismic data on cool stars that show solar-like oscillations. The techniques have been refined, and in some cases developed, to analyze asteroseismic data collected by the NASA Kepler mission. Topics range from the analysis of time-series observations to extract seismic data for stars to the use of those data to determine global and internal properties of the stars. Reading lists and problem sets are provided, and data necessary for the problem sets are available online. The first book to describe in detail the different techniques used to analyze the data on stellar oscillations, Asteroseismic Data Analysis offers an invaluable window into the hearts of stars. Introduces the asteroseismic study of stars and the theory of stellar oscillations Describes the analysis of observational (time-domain) data Examines how seismic parameters are extracted from observations Explores how stellar properties are determined from seismic data Looks at the “inverse problem,” where frequencies are used to infer internal structures of stars

Astronomical Image and Data Analysis

Author : J.-L. Starck
Publisher : Springer Science & Business Media
ISBN 13 : 3662049066
Total Pages : 292 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Astronomical Image and Data Analysis by : J.-L. Starck

Download or read book Astronomical Image and Data Analysis written by J.-L. Starck and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.