Advanced Tools for Exploring Large EB Datasets

Autor:	A. Pršsa, M. DeGeorge, E. J. Devinney, E. F. Guinan
Rok vydání:	2011
Předmět:	business.industry Computer science Binary number Astronomy and Astrophysics Machine learning computer.software_genre Light curve Kepler Data science Visualization Space and Planetary Science Relevance (information retrieval) Artificial intelligence business Cluster analysis computer
Zdroj:	Proceedings of the International Astronomical Union. 7:321-322
ISSN:	1743-9221 1743-9213
DOI:	10.1017/s1743921311027712
Popis:	Thanks to OGLE, Kepler, CoRoT and planned new ambitious survey projects, the eclipsing binary (EB) community is beginning to experience a long-predicted data deluge. Beyond the analysis of the many fascinating individual objects yielded by these programs, these complete datasets themselves should yield further insights. Because objects in such datasets are characterized by many parameters, tools that assist in understanding high-dimensional data are acquiring increasing relevance. Chiefly among these are new Advanced Visualization (AV) tools and various methods of clustering data, both approaches complementing each other naturally. We illustrate the use of these tools as applied to OGLE II LMC EB data and respective EBAI light curve solutions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a79238d2d3601af203ab663ef07e2d62 https://doi.org/10.1017/s1743921311027712 Zobrazit plný text záznamu Plný text ve formátu PDF