29 June 2006 Chandra data processing: lessons learned and challenges met
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. Nichols, J. Nichols, C. S. Anderson, C. S. Anderson, P. J. Mendygral, P. J. Mendygral, D. L. Morgan, D. L. Morgan, G. Fabbiano, G. Fabbiano, } "Chandra data processing: lessons learned and challenges met", Proc. SPIE 6270, Observatory Operations: Strategies, Processes, and Systems, 62700P (29 June 2006); doi: 10.1117/12.671757; https://doi.org/10.1117/12.671757

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