DocumentCode :
2206696
Title :
Modeling complex astrophysics data
Author :
Farris, A.
Author_Institution :
Space Telescope Sci. Inst., Baltimore, MD, USA
fYear :
1994
fDate :
28-30 Sep 1994
Firstpage :
149
Lastpage :
158
Abstract :
Scientific data are often characterized by large volumes of data, complex data relationships, and complex algorithms that operate on those data. Databases at the Space Telescope Science Institute are used to illustrate some of the differences between traditional data management schemes and the requirements of scientific data. Data from radio astronomy are modeled using conceptual enhancements to flexible image transport system (FITS) binary tables, which are compared to relational database tables. These enhancements are used to capture features of a more general notion of an observation. Finally, it is argued that accessing and manipulating each data, in order to support the entire process of data analysis, requires the construction of an abstract data model that intuitively models how a domain specialist views the data
Keywords :
astrometry; astronomy and astrophysics; data structures; database management systems; abstract data model; complex algorithms; complex astrophysics data modelling; flexible image transport system binary tables; radio astronomy; relational database tables; Astrophysics; Data analysis; Data mining; Image coding; Image databases; Photometry; Pixel; Radio astronomy; Relational databases; Telescopes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 1994. Proceedings., Seventh International Working Conference on
Conference_Location :
Charlottesville, VA
Print_ISBN :
0-8186-6610-2
Type :
conf
DOI :
10.1109/SSDM.1994.336952
Filename :
336952
Link To Document :
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