Big Data In Astronomy


Big Data In Astronomy
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Big Data In Astronomy


Big Data In Astronomy
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Author : Linghe Kong
language : en
Publisher: Elsevier
Release Date : 2020-06-13

Big Data In Astronomy written by Linghe Kong and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-13 with Science categories.


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)



Big Data Analytics In Astronomy Science And Engineering


Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date :

Big Data Analytics In Astronomy Science And Engineering written by Shelly Sachdeva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Big Data Analytics In Astronomy Science And Engineering


Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date : 2023-03-18

Big Data Analytics In Astronomy Science And Engineering written by Shelly Sachdeva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-18 with Computers categories.


This book constitutes the proceedings of the 10th International Conference on Big Data Analytics, BDA 2022, which took place in a hybrid mode during December 2022 in Aizu, Japan. The 14 full papers included in this volume were carefully reviewed and selected from 70 submissions. They were organized in topical sections as follows: big data analytics, networking, social media, search, information extraction, image processing and analysis, spatial, text, mobile and graph data analysis, machine learning, and healthcare.



Knowledge Discovery In Big Data From Astronomy And Earth Observation


Knowledge Discovery In Big Data From Astronomy And Earth Observation
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Author : Petr Skoda
language : en
Publisher: Elsevier
Release Date : 2020-04-10

Knowledge Discovery In Big Data From Astronomy And Earth Observation written by Petr Skoda and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Science categories.


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



Knowledge Discovery In Big Data From Astronomy And Earth Observation


Knowledge Discovery In Big Data From Astronomy And Earth Observation
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Author : Petr Skoda
language : en
Publisher: Elsevier
Release Date : 2020-04-23

Knowledge Discovery In Big Data From Astronomy And Earth Observation written by Petr Skoda and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Science categories.


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 Analytics In Astronomy Science And Engineering


Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer Nature
Release Date : 2022-02-17

Big Data Analytics In Astronomy Science And Engineering written by Shelly Sachdeva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-17 with Computers categories.


This book constitutes the proceedings of the 9th International Conference on Big Data Analytics, BDA 2021, which took place virtually during December 7–9, 2021. The 15 full papers and 1 short paper included in this volume were carefully reviewed and selected from 60 submissions. They were organized in topical sections as follows: Data science: systems; data science: architectures; big data analytics in healthcare support systems, information interchange of web data resources; and business analytics.



Astronomy And Big Data


Astronomy And Big Data
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Author : Kieran Jay Edwards
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-04-12

Astronomy And Big Data written by Kieran Jay Edwards and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-12 with Technology & Engineering categories.


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.



Big Data Analytics In Astronomy Science And Engineering


Big Data Analytics In Astronomy Science And Engineering
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Author : Shelly Sachdeva
language : en
Publisher: Springer
Release Date : 2024-06-02

Big Data Analytics In Astronomy Science And Engineering written by Shelly Sachdeva and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-02 with Computers categories.


This book constitutes the proceedings of the 11th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2023, which took place in Aizu, Japan during December 5–7, 2023. The 19 full papers included in this book were carefully reviewed and selected from 55 submissions. They were organized in topical sections as follows: Data management and visualization; data science: architectures and systems; data science and applications; and cyber systems and information security.



Education And Heritage In The Era Of Big Data In Astronomy Iau S367


Education And Heritage In The Era Of Big Data In Astronomy Iau S367
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Author : Rosa M. Ros
language : en
Publisher: Cambridge University Press
Release Date : 2022-03-24

Education And Heritage In The Era Of Big Data In Astronomy Iau S367 written by Rosa M. Ros and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-24 with Science categories.


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.



Astroinformatics Iau S325


Astroinformatics Iau S325
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Author : Massimo Brescia
language : en
Publisher: Cambridge University Press
Release Date : 2017-06-15

Astroinformatics Iau S325 written by Massimo Brescia and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-15 with Science categories.


Astronomy has become data-driven in ways that are both quantitatively and qualitatively different from the past: data structures are not simple; procedures to gain astrophysical insights are not obvious; and the informational content of the data sets is so high that archival research and data mining are not merely convenient, but obligatory, as researchers who obtain the data can only extract a small fraction of the science enabled by it. IAU Symposium 325 took place at a crucial stage in the development of the field, when many efforts have carried significant achievements, but the widespread groups have just begun to effectively communicate across specialties, to gather and assimilate their achievements, and to consult cross-disciplinary experts. Bringing together astronomers involved in surveys and large simulation projects, computer scientists, data scientists, and companies, this volume showcases their fruitful exchange of ideas, methods, software, and technical capabilities.