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Parallelization and Algorithmic Enhancements of High Resolution IRAS Image Construction

Cao, Yu and Prince, Thomas A. and Terebey, Susan and Beichman, Charles A. (1996) Parallelization and Algorithmic Enhancements of High Resolution IRAS Image Construction. Publications of the Astronomical Society of the Pacific, 108 (724). pp. 535-544. ISSN 0004-6280. http://resolver.caltech.edu/CaltechAUTHORS:20140703-213811291

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Abstract

The Infrared Astronomical Satellite carried 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 coadded IRAS maps, and high-resolution IRAS images are strongly desired both for their own information content and their usefulness in correlation studies. The HIRES program was developed by the Infrared Processing and Analysis Center (IPAC) to produce high-resolution (~ 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 µm. Images produced from the MCM algorithm sometimes suffer from visible striping and ringing artifacts. Correcting detector gain offsets and using a Burg entropy metric in the reconstruction scheme were found to be effective in suppressing these artifacts. A variation of the destriping algorithm was used to subtract zodiacal emission.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1086/133758DOIArticle
http://adsabs.harvard.edu/abs/1996PASP..108..535CADSArticle
http://www.jstor.org/stable/40680759JSTORArticle
ORCID:
AuthorORCID
Prince, Thomas A.0000-0002-8850-3627
Additional Information:© 1996 The University of Chicago Press. Provided by the NASA Astrophysics Data System. Received 1995 December 14; accepted 1996 March 22. We thank Tom Soifer, Joe Mazzarella, and Jason Surace for their involvement and helpful suggestions during the project. We are grateful to George Aumann, John Fowler, and Michael Melnyk for developing the original HIRES program, especially John Fowler who helped with the port of HIRES to the Intel computers by explaining the structure and details of the program, and provided advice throughout the algorithmic developments. Thanks are also due to Ron Beck and Diane Engler who handled numerous HIRES processing requests and are running the IRAS Galaxy Atlas production. This research was supported from the NASA Astrophysics Data Program under Contract No. NAS5-32642, and was performed in part using the Intel Touchstone Delta and the Intel Paragon operated by Caltech on behalf of the Concurrent Supercomputing Consortium.
Group:Space Radiation Laboratory, Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NASANAS5-32642
Other Numbering System:
Other Numbering System NameOther Numbering System ID
Space Radiation Laboratory1996-13
Record Number:CaltechAUTHORS:20140703-213811291
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140703-213811291
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:46829
Collection:CaltechAUTHORS
Deposited By: Deborah Miles
Deposited On:10 Jul 2014 19:00
Last Modified:22 Nov 2017 17:50

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