Astroinformatics (IAU S325)

by Massimo Brescia, S. G. Djorgovski, Eric D. Feigelson, Giuseppe Longo, Stefano Cavuoti

Overview

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.

Product Details

ISBN-13:	9781107169951
Publisher:	Cambridge University Press
Publication date:	06/15/2017
Series:	Proceedings of the International Astronomical Union Symposia and Colloquia
Pages:	420
Product dimensions:	7.09(w) x 10.04(h) x 0.79(d)

Table of Contents

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.