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Proceedings Paper

Chandra data processing: lessons learned and challenges met
Author(s): J. Nichols; C. S. Anderson; P. J. Mendygral; D. L. Morgan; G. Fabbiano
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Paper Abstract

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.

Paper Details

Date Published: 29 June 2006
PDF: 12 pages
Proc. SPIE 6270, Observatory Operations: Strategies, Processes, and Systems, 62700P (29 June 2006); doi: 10.1117/12.671757
Show Author Affiliations
J. Nichols, Smithsonian Astrophysical Observatory (United States)
C. S. Anderson, Smithsonian Astrophysical Observatory (United States)
P. J. Mendygral, Smithsonian Astrophysical Observatory (United States)
D. L. Morgan, Smithsonian Astrophysical Observatory (United States)
G. Fabbiano, Smithsonian Astrophysical Observatory (United States)

Published in SPIE Proceedings Vol. 6270:
Observatory Operations: Strategies, Processes, and Systems
David R. Silva; Rodger E. Doxsey, Editor(s)

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