dc.contributor.author | Gülseçen, Hulusi | |
dc.contributor.author | Esenoğlu, Hasan Hüseyin | |
dc.date.accessioned | 2021-03-06T19:59:05Z | |
dc.date.available | 2021-03-06T19:59:05Z | |
dc.identifier.citation | Gülseçen H., Esenoğlu H. H. , Astronomical Data, "Who Runs The World: Data", Sevinç Gülseçen,Sushil Kumar Sharma,Emre Akadal, Editör, Istanbul University Press, İstanbul, ss.13-36, 2020 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_f89c305c-cb29-404a-8a30-7b24975551e5 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/162835 | |
dc.identifier.uri | https://iupress.istanbul.edu.tr/tr/book/who-runs-the-world-data/home | |
dc.description.abstract | Space telescopes have increased the quality of data collection for today’s astronomy. In parallel to this, obtaining high quality data with high technology and good resolution focal plane detectors in accordance with the developments in material science in the ground-based observations has been achieved. With the new generation of ground based and space observations, global campaigns also brought continuity in data acquisition and increased performance. Finally, the fact that theoretical outputs can be made to allow in today’s technology, for example, the detection of gravitational waves in the universe and these add new ones to the existing data. In addition, there has been a significant increase in data archiving, reduction and processing together with the number and variety of data collection tools. Astronomers have been able to overcome the facilitation in these processes in their own way: manpower waste has been reduced with autonomous telescopes, the data has been transformed into informatics (astroinformatics) with pipelines, the workload has been reduced to large masses by establishing a virtual observatory, and finally smart applications have been opened with the provided big data and new open areas have been reached with a future such as data mining. In this way, there has been progress in solving many astronomical events in the universe. This chapter is orginized in two subsections. In first, we are discussing how to solve problems in astronomy by using big data. In the second, we mention about big data sources in astronomy. The importance of data in astronomy, sources of data, big data in regards to the discovery of universe and analyzing data are the topics discussed in these subsections. | |
dc.language.iso | eng | |
dc.publisher | Istanbul University Press | |
dc.subject | Bilgi Mühendisliği | |
dc.subject | Bilgisayar Öğrenimi | |
dc.subject | Astronomi ve Astrofizik | |
dc.subject | Temel Astronomi ve Astrofizik: Enstrümantasyon, Teknikler ve Astronomik gözlemler | |
dc.subject | Temel Bilimler | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Multidisciplinary | |
dc.subject | Physics and Astronomy (miscellaneous) | |
dc.subject | Artificial Intelligence | |
dc.subject | General Physics and Astronomy | |
dc.subject | Software | |
dc.subject | General Computer Science | |
dc.subject | Astronomy and Astrophysics | |
dc.subject | Computer Science (miscellaneous) | |
dc.subject | Computer Vision and Pattern Recognition | |
dc.subject | Physical Sciences | |
dc.subject | Computer Science Applications | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Temel Bilimler (SCI) | |
dc.subject | Bilgisayar Bilimi | |
dc.subject | Doğa Bilimleri Genel | |
dc.subject | Uzay bilimi | |
dc.subject | Fizik | |
dc.subject | BİLGİSAYAR BİLİMİ, YAPAY ZEKA | |
dc.subject | BİLGİSAYAR BİLİMİ, YAZILIM MÜHENDİSLİĞİ | |
dc.subject | ÇOK DİSİPLİNLİ BİLİMLER | |
dc.subject | ASTRONOMİ VE ASTROFİZİK | |
dc.subject | Bilgisayar Bilimleri | |
dc.subject | Veritabanı ve Veri Yapıları | |
dc.subject | Yapay Zeka, Bilgisayarda Öğrenme ve Örüntü Tanıma | |
dc.title | Who Runs The World: Data | |
dc.type | Kitapta Bölüm | |
dc.contributor.department | İstanbul Üniversitesi , Fen Fakültesi , Astronomi Ve Uzay Bilimleri Bölümü | |
dc.contributor.firstauthorID | 2495972 | |