Statistics – Computation
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004dps....36.3217t&link_type=abstract
American Astronomical Society, DPS meeting #36, #32.17; Bulletin of the American Astronomical Society, Vol. 36, p.1141
Statistics
Computation
Scientific paper
The collaboration among professional astronomers, Celestial Mechanics researchers, and amateur astronomers initially started to successfully discover and follow Near Earth Objects. This collaboration should now be extended toward the realization of a distributed system for the analysis of the astrometric data for hazard monitoring purposes, allowing the participation of the public in the computational effort required to monitor the hazard posed by these objects.
Distributed computing is the natural frame for the solution of numerical problems where a task can be divided into independent pieces, and whose ratio of computation to data is high. We show how NEO hazard monitoring computations can fit into this model, exploiting many of the benefits of a distributed computing system. When compared to the existing, non-distributed monitoring systems, a distributed solution could provide a longer monitored period, faster analysis of the data, and a shorter delay between astrometric observation and hazard monitor updates, while allowing amateur astronomers and other interested parties to actively contribute. Work is underway to realize such a distributed system, a natural extension of the ORSA project.
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