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Parallelization and Algorithmic Enhancements of High Resolution IRAS Image ConstructionThe Infrared Astronomical Satellite caried out a nearly complete survey of the infrared sky, and the survey data are important for the study of many astrophysical phenomena. However, many data sets at other wavelengths have higher resolutions than that of the co-added IRAS maps, and high resolution IRAS images are strongly desired both for their own information content and their usefulness in correlation. The HIRES program was developed by the Infrared Processing and Analysis Center (IPAC) to produce high resolution (approx. 1') images from IRAS data using the Maximum Correlation Method (MCM). We describe the port of HIRES to the Intel Paragon, a massively parallel supercomputer, other software developments for mass production of HIRES images, and the IRAS Galaxy Atlas, a project to map the Galactic plane at 60 and 100(micro)m.
Document ID
20060036334
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Cao, Yu
Prince, Thomas A.
Tereby, Susan
Beichman, Charles A.
Date Acquired
August 23, 2013
Publication Date
January 1, 1996
Distribution Limits
Public
Copyright
Other
Keywords
Satellite infrared IRAS IRAS maps IRAS images
HIRES Infrared Processing and Analysis Center IPAC Infrared Astronomical

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