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Astroinformatics (IAU S325)

Editat de Massimo Brescia, S. G. Djorgovski, Eric D. Feigelson
en Limba Engleză Hardback – 15 iun 2017
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.
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Specificații

ISBN-13: 9781107169951
ISBN-10: 110716995X
Pagini: 220
Ilustrații: 100 b/w illus.
Dimensiuni: 175 x 250 x 17 mm
Greutate: 0.51 kg
Editura: Cambridge University Press
Locul publicării:New York, United States

Cuprins

1. Astroinformatics projects; 2. Current and future surveys; 3. Data mining and machine learning; 4. Time domain and cosmology; 5. Data visualization; 6. Astroinformatics tools; 7. Archives in astronomy.

Descriere

IAU S325 explores the way that astronomy is changing, or has changed, to become an ever more data-driven, computational science.