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Big Data In Astronomy

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Knowledge Discovery in Big Data from Astronomy and Earth Observation

Knowledge Discovery in Big Data from Astronomy and Earth Observation Book
Author : Petr Skoda,Fathalrahman Adam
Publisher : Elsevier
Release : 2020-04-10
ISBN : 0128191554
Language : En, Es, Fr & De

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Book Description :

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

Big Data in Astronomy

Big Data in Astronomy Book
Author : Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu,Chris Broekema
Publisher : Elsevier
Release : 2020-06
ISBN : 9780128190845
Language : En, Es, Fr & De

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Book Description :

Big Data in Radio Astronomy 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), which is the world's largest radio telescope and 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. As new technologies emerge, it is important to consider the challenges of how to process, record, calibrate, and clean astronomical big data, as well as how to optimize and accelerate the algorithms for processing, and how to extract knowledge from big data.Presenting state-of-the-art results and research, Big Data in Radio Astronomy 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.

Big Data in Astronomy

Big Data in Astronomy Book
Author : Chris Broekema,Linghe Kong,Tian Huang,Yongxin Zhu,Shenghua Yu
Publisher : Elsevier
Release : 2020-06-13
ISBN : 012819085X
Language : En, Es, Fr & De

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Book Description :

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

Statistics  Data Mining  and Machine Learning in Astronomy Book
Author : Željko Ivezić,Andrew J. Connolly,Jacob T VanderPlas,Alexander Gray
Publisher : Princeton University Press
Release : 2014-01-12
ISBN : 0691151687
Language : En, Es, Fr & De

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Book Description :

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

Astronomy and Big Data Book
Author : Kieran Jay Edwards,Mohamed Medhat Gaber
Publisher : Springer Science & Business Media
Release : 2014-04-12
ISBN : 3319065998
Language : En, Es, Fr & De

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Book Description :

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.

Astronomical Data Analysis Software and Systems XXIV

Astronomical Data Analysis Software and Systems XXIV Book
Author : Andrew Russell Taylor,Erik William Rosolowsky
Publisher : Unknown
Release : 2015
ISBN : 9781583818749
Language : En, Es, Fr & De

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Book Description :

Download Astronomical Data Analysis Software and Systems XXIV book written by Andrew Russell Taylor,Erik William Rosolowsky, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Radio Astronomy Image Reconstruction in the Big Data Era

Radio Astronomy Image Reconstruction in the Big Data Era Book
Author : Luke Pratley
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Radio Astronomy Image Reconstruction in the Big Data Era book written by Luke Pratley, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Big Data Analysis in Astronomy

Big Data Analysis in Astronomy Book
Author : Instituto de Astrofísica de Canarias
Publisher : Unknown
Release : 2018
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Big Data Analysis in Astronomy book written by Instituto de Astrofísica de Canarias, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Big Data Now 2012 Edition

Big Data Now  2012 Edition Book
Author : O'Reilly Media, Inc.
Publisher : "O'Reilly Media, Inc."
Release : 2012-10-23
ISBN : 1449356680
Language : En, Es, Fr & De

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Book Description :

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.

Big Data Little Data No Data

Big Data  Little Data  No Data Book
Author : Christine L. Borgman
Publisher : Unknown
Release : 2016-09-16
ISBN : 0262529912
Language : En, Es, Fr & De

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Book Description :

Despite the media hyperbole, as 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. She 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. 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. --

Optimizing Scientific Return for Astronomy Through Information Technologies

Optimizing Scientific Return for Astronomy Through Information Technologies Book
Author : Peter Joseph Quinn,Alan Bridger
Publisher : Society of Photo Optical
Release : 2004
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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 Book
Author : European Southern Observatory
Publisher : Unknown
Release : 1988
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Astronomy from Large Databases book written by European Southern Observatory, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Astronomical Data Analysis Software and Systems XXV

Astronomical Data Analysis Software and Systems XXV Book
Author : Nuria P. F. Lorente,Keith Shortridge,Randall Wayth
Publisher : Unknown
Release : 2017
ISBN : 9781583819081
Language : En, Es, Fr & De

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Book Description :

Download Astronomical Data Analysis Software and Systems XXV book written by Nuria P. F. Lorente,Keith Shortridge,Randall Wayth, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Python End to end Data Analysis

Python  End to end Data Analysis Book
Author : Phuong Vothihong,Martin Czygan,Ivan Idris,Magnus Vilhelm Persson,Luiz Felipe Martins
Publisher : Packt Publishing Ltd
Release : 2017-05-31
ISBN : 1788396545
Language : En, Es, Fr & De

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Book Description :

Leverage the power of Python to clean, scrape, analyze, and visualize your data About This Book Clean, format, and explore your data using the popular Python libraries and get valuable insights from it Analyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and more Packed with easy-to-follow examples to develop advanced computational skills for the analysis of complex data Who This Book Is For This course is for developers, analysts, and data scientists who want to learn data analysis from scratch. This course will provide you with a solid foundation from which to analyze data with varying complexity. A working knowledge of Python (and a strong interest in playing with your data) is recommended. What You Will Learn Understand the importance of data analysis and master its processing steps Get comfortable using Python and its associated data analysis libraries such as Pandas, NumPy, and SciPy Clean and transform your data and apply advanced statistical analysis to create attractive visualizations Analyze images and time series data Mine text and analyze social networks Perform web scraping and work with different databases, Hadoop, and Spark Use statistical models to discover patterns in data Detect similarities and differences in data with clustering Work with Jupyter Notebook to produce publication-ready figures to be included in reports In Detail Data analysis is the process of applying logical and analytical reasoning to study each component of data present in the system. Python is a multi-domain, high-level, programming language that offers a range of tools and libraries suitable for all purposes, it has slowly evolved as one of the primary languages for data science. Have you ever imagined becoming an expert at effectively approaching data analysis problems, solving them, and extracting all of the available information from your data? If yes, look no further, this is the course you need! In this course, we will get you started with Python data analysis by introducing the basics of data analysis and supported Python libraries such as matplotlib, NumPy, and pandas. Create visualizations by choosing color maps, different shapes, sizes, and palettes then delve into statistical data analysis using distribution algorithms and correlations. You'll then find your way around different data and numerical problems, get to grips with Spark and HDFS, and set up migration scripts for web mining. You'll be able to quickly and accurately perform hands-on sorting, reduction, and subsequent analysis, and fully appreciate how data analysis methods can support business decision-making. Finally, you will delve into advanced techniques such as performing regression, quantifying cause and effect using Bayesian methods, and discovering how to use Python's tools for supervised machine learning. The course provides you with highly practical content explaining data analysis with Python, from the following Packt books: Getting Started with Python Data Analysis. Python Data Analysis Cookbook. Mastering Python Data Analysis. By the end of this course, you will have all the knowledge you need to analyze your data with varying complexity levels, and turn it into actionable insights. Style and approach Learn Python data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach. It offers you a useful way of analyzing the data that's specific to this course, but that can also be applied to any other data. This course is designed to be both a guide and a reference for moving beyond the basics of data analysis.

National Optical Astronomy Observatories Newsletter

National Optical Astronomy Observatories Newsletter Book
Author : Anonim
Publisher : Unknown
Release : 2009
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download National Optical Astronomy Observatories Newsletter book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Astronomical Data Analysis Software and Systems XI

Astronomical Data Analysis Software and Systems XI Book
Author : David A. Bohlender,Daniel Durand,T. H. Handley
Publisher : Astronomical Society of the pacific
Release : 2002
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Astronomical Data Analysis Software and Systems XI book written by David A. Bohlender,Daniel Durand,T. H. Handley, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Data Analysis in Astronomy II

Data Analysis in Astronomy II Book
Author : V. di Gesù,L. Scarsi
Publisher : Springer
Release : 1986-12-31
ISBN : 9780306424731
Language : En, Es, Fr & De

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Book Description :

The II international workshop on "Data Analysis in Astronomy" was intended to provide an overview on the state of the art and the trend in data analy sis and image processing in the context of their applications in Astronomy. The need for the organization of a second workshop in this subject derived from the steady. growing and development in the field and from the increasing cross-interaction between methods, technology and applications in Astronomy. The book is organized in four main sections: - Data Analysis Methodologies - Data Handling and Systems dedicated to Large Experiments - Parallel Processing - New Developments The topics which have been selected cover some of the main fields in data analysis in Astronomy. Methods that provide a major contribution to the physical interpretation of the data have been considered. Attention has been devoted to the description of the data analysis and handling organization in very large experiments. A review of the current major satellite and ground based experiments has been included. At the end of the book the following 'Panel Discussions' are included: - Data Analysis Trend in Optical and Radio Astronomy - Data Analysis Trend in X and Gamma Astronomy - Problems and Solutions in the Design of Very Large Experiments - Trend on Parallel Processing Algorithms These contributions in a sense summarize the 'live' reaction of the audience to the various topics.

The Big Book of Jobs

The Big Book of Jobs Book
Author : Anonim
Publisher : Unknown
Release : 2005
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Consists of a brief "Job seeker's guide" followed by a "special edition" reprint of the Occupational outlook handbook published by the Bureau of Labor Statistics.

Astronomical Data Analysis Software and Systems XXVIII

Astronomical Data Analysis Software and Systems XXVIII Book
Author : Peter Johannes Teuben,Marc W. Pound,Brian A. Thomas,Elizabeth M. Warner
Publisher : Unknown
Release : 2019
ISBN : 9781583819333
Language : En, Es, Fr & De

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Book Description :

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.

Highlights of Astronomy

Highlights of Astronomy Book
Author : International Astronomical Union
Publisher : Unknown
Release : 2006
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Vol. 1- contain papers, etc., from 13th- General Assembly.