Statistics – Methodology
Scientific paper
May 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...210.2514s&link_type=abstract
American Astronomical Society Meeting 210, #25.14; Bulletin of the American Astronomical Society, Vol. 39, p.133
Statistics
Methodology
1
Scientific paper
The rapidly growing data volumes for space- and ground-based observatories for Sun and heliosphere will soon make it impractical, costly, and perhaps effectively impossible for researchers to download and locally inspect substantial portions of the data archives. By the end of 2008, for example, the Solar Dynamics Observatory will downlink over 2TB/day of compressed data; such a large volume would readily saturate internet connections to the archive site if it were exported to a handful of researchers around the world. We envision a revolution in research methodology towards a mode in which researchers run autonomous event-finding algorithms at a primary data archive in order to pre-select relatively small subsets of the data that can subsequently be inspected and analyzed in detail at a researcher's home institution. Teams from the SDO, Hinode, STEREO, and TRACE missions are developing the infrastructure that is needed to make this into a useful research tool: we are (1) defining standardized event attributes compatible with the Virtual Observatory and EGSO concepts, (2) developing a knowledge base supported by a web-based tool for compound queries based on the contents of solar and heliospheric observations, and (3) assembling a group of researchers who are interested in helping us develop a prototype system while beta-testing it in real scientific studies. We invite you to contact us (a) if you have feature-finding algorithms that you would like to see applied to existing data archives, (b) if you would like to contribute expertise in developing the knowledge-base system, or (c) if you would like to participate in the testing of the system for scientific use. More information on our plans, target dates, and contact information can be found at http://www.lmsal.com/helio-informatics/hpkb/.
The helio-informatics project is being developed with support from the HINODE/SOT (NNM07AA01C), SDO/AIA (NNG04EA00C), STEREO/SECCHI (N00173-02-C-2035), and TRACE (NAS5-38099) science investigations.
Berghmans David
Cheung C. M. M.
Delouille Véronique
Hochedez J.
Hurlburt Neal E.
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