Automated X-ray and Optical Analysis of the Virtual Observatory and Grid Computing

Details Automated X-ray and Optical Analysis of the Virtual Observatory and Grid Computing Automated X-ray and Optical Analysis of the Virtual Observatory and Grid Computing

Jul 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aspc..442..595p&link_type=abstract

Astronomical Data Analysis Software and Systems XX. ASP Conference Proceedings, Vol. 442, proceedings of a Conference held at Se

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We are developing a system to combine the Web Enabled Source Identification with X-Matching (WESIX) web service, which emphasizes source detection on optical images,with the XAssist program that automates the analysis of X-ray data. XAssist is continuously processing archival X-ray data in several pipelines. We have established a workflow in which FITS images and/or (in the case of X-ray data) an X-ray field can be input to WESIX. Intelligent services return available data (if requested fields have been processed) or submit job requests to a queue to be performed asynchronously. These services will be available via web services (for non-interactive use by Virtual Observatory portals and applications) and through web applications (written in the Django web application framework). We are adding web services for specific XAssist functionality such as determining the exposure and limiting flux for a given position on the sky and extracting spectra and images for a given region. We are improving the queuing system in XAssist to allow for "watch lists" to be specified by users, and when X-ray fields in a user's watch list become publicly available they will be automatically added to the queue. XAssist is being expanded to be used as a survey planning tool when coupled with simulation software, including functionality for NuStar, eRosita, IXO, and the Wide-Field Xray Telescope (WFXT), as part of an end-to-end simulation/analysis system. We are also investigating the possibility of a dedicated iPhone/iPad app for querying pipeline data, requesting processing, and administrative job control. This work was funded by AISRP grant NNG06GE59G.

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