2004
DOI: 10.1086/425083
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The SMART Data Analysis Package for the Infrared Spectrograph on theSpitzer Space Telescope

Abstract: SMART is a software package written in IDL to reduce and analyze Spitzer data from all four modules of the Infrared Spectrograph, including the peak-up arrays. The software is designed to make full use of the ancillary files generated in the Spitzer Science Center pipeline so that it can either remove or flag artifacts and corrupted data and maximize the signal-to-noise in the extraction routines. It may be run in both interactive and batch mode. The software and Users Guide will be available for public releas… Show more

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Cited by 434 publications
(417 citation statements)
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“…The rogue pixels were removed using the IRSCLEAN tool 3 , with the aggressive parameter equal to 0. Then the data were processed (full extraction, trimming, defringing and averaging over cycles) into a single spectrum per node position using SMART 4 (Higdon et al 2004). A similar procedure has been applied for LH off-source observations, and the obtained spectra have been subtracted from the on-source data for the corresponding node position, to cancel out the sky background.…”
Section: Mid-infrared Spectroscopymentioning
confidence: 99%
“…The rogue pixels were removed using the IRSCLEAN tool 3 , with the aggressive parameter equal to 0. Then the data were processed (full extraction, trimming, defringing and averaging over cycles) into a single spectrum per node position using SMART 4 (Higdon et al 2004). A similar procedure has been applied for LH off-source observations, and the obtained spectra have been subtracted from the on-source data for the corresponding node position, to cancel out the sky background.…”
Section: Mid-infrared Spectroscopymentioning
confidence: 99%
“…The data were processed using the s15.3 version of the pipeline and using a script version of Smart (Higdon et al 2004). The reduction started from the droop images which are equivalent to the bcd images but lack stray-cross removal and flatfield.…”
Section: The Irs Infrared Spectrum Of Ngc 6210mentioning
confidence: 99%
“…SMART package (Higdon et al 2004) and custom IDL routines, starting from the pipeline level of basic calibrated data (S18.18 products). The data reduction process involves removing bad pixels, subtracting background emission from the images, extracting the spectra, correcting for instrumental fringes, flux calibration and scaling of the modules, and trimming the order edges and rebinning.…”
Section: O B S E Rvat I O N S a N D Data R E D U C T I O Nmentioning
confidence: 99%
“…When necessary, we also used the routine irsclean_mask to flag additional bad pixels. We then co-added the cleaned images for each nod using a weighted average (see Higdon et al 2004).…”
Section: O B S E Rvat I O N S a N D Data R E D U C T I O Nmentioning
confidence: 99%