Computer Science – Operating Systems
Scientific paper
May 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...204.7006r&link_type=abstract
American Astronomical Society Meeting 204, #70.06; Bulletin of the American Astronomical Society, Vol. 36, p.796
Computer Science
Operating Systems
Scientific paper
Throughout the entire Ulysses out-of-the-ecliptic solar polar mission, the Heliosphere Instrument for Spectra, Composition, and Anisotropy at Low Energies (HI-SCALE) has collected measurements of interplanetary ions and electrons. Time-series of electron and ion fluxes obtained since 1990 have been carefully calibrated and will be stored in a data management system, which will be publicly accessible via the WWW. The goal of the Virtual Solar Observatory (VSO) is to provide data uniformly and efficiently to a diverse user community. However, data dissemination can only be a first step, which has to be followed by a suite of data analysis tools that are tailored towards a diverse user community in science, technology, and education. The widespread use and familiarity of spreadsheets, which are available at low cost or open source for many operating systems, make them an interesting tool to investigate for the analysis of HI-SCALE data. The data are written in comma separated variable (CSV) format, which is commonly used in spreadsheet programs. CSV files can simply be linked as external data to spreadsheet templates, which in turn can be used to generate tables and figures of basic statistical properties and frequency distributions, temporal evolution of electron and ion spectra, comparisons of various energy channels, automatic detection of solar events, solar cycle variations, and space weather. Exploring spreadsheet-assisted data analysis in the context of information technology research, data base information search and retrieval, and data visualization potentially impacts other VSO components, where diverse user communities are targeted. Finally, this presentation is the result of an undergraduate research project, which will allow us to evaluate the performance of user-based spreadsheet analysis "benchmarked" at the undergraduate skill level.
Amstrong T. P.
Denker Carsten
Lanzerotti Louis J.
Patterson David
Reza J. Z.
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