Chandra data processing: lessons learned and challenges met

Details Chandra data processing: lessons learned and challenges met Chandra data processing: lessons learned and challenges met

Jul 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6270e..22n&link_type=abstract

Observatory Operations: Strategies, Processes, and Systems. Edited by Silva, David R.; Doxsey, Rodger E.. Proceedings of the S

Computer Science

Scientific paper

Six years into the mission, Chandra data processing operations has reached a stage of maturity that allows nearly complete automation as well as dynamic flexibility to accommodate future changes in mission and instrument status and constraints. We present a summary of the procedural and technical solutions that have been developed since the launch of Chandra to meet unanticipated challenges in the area of data processing. Lessons learned concerning data processing are discussed, including an explanation of the source of each problem and the Chandra team's response to the problem. Potential pitfalls that might affect future projects are also included. The user interface, data quality screening, and quicklook software developed specifically to address issues identified after launch have proved valuable in meeting the goals of low-cost, efficient, and flexible mission operations for the Chandra mission and can provide insight for future mission designs.

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