Reduction Algorithms for the Multiband Imaging Photometer for Spitzer

By K. Gordon, G. Rieke, C. Engelbracht, J. Muzerolle, J. Stansberry, K. Misselt, J. Morrison, J. Cadien, E. Young, H. Dole and 20 more. 2005

301 citations recorded by the source corpus.

We describe the data reduction algorithms for the Multiband Imaging Photometer for Spitzer (MIPS). These algorithms were based on extensive preflight testing and modeling of the Si:As (24 μm) and Ge:Ga (70 and 160 μm) arrays in MIPS and have been refined based on initial flight data. The behaviors we describe are typical of state‐of‐the‐art infrared focal planes operated in the low backgrounds of space. The Ge arrays are bulk photoconductors and therefore show a variety of artifacts that must be removed to calibrate the data. The Si array, while better behaved than the Ge arrays, does show a handful of artifacts that must also be removed to calibrate the data. The data reduction to remove these effects is divided into three parts. The first part converts the nondestructively read data ramps into slopes while removing artifacts with time constants of the order of the exposure time. The second part calibrates the slope measurements while removing artifacts with time constants longer than the exposure time. The third part uses the redundancy inherent in the MIPS observing modes to improve the artifact removal iteratively. For each of these steps, we illustrate the relevant laboratory experiments or theoretical arguments, along with the mathematical approaches taken to calibrate the data. Finally, we describe how these preflight algorithms have performed on actual flight data.

Subfields: Aerospace Engineering, Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/7e13c1ccc3c6cb1597e5f4fb54fc10737649265c

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Citations in the corpus

Investigations of dust heating in M81, M83 and NGC 2403 with the Herschel Space Observatory (2011, methodology): “The raw data from theSpitzerarchive were reprocessed using the MIPS Data Analysis Tools (Gordon et al. 2005) along with additional processing steps.”
The Calibration of Mid-Infrared Star Formation Rate Indicators (2007, methodology): “The reduction steps for MIPS mosaics are described in Gordon et al. (2005) and Bendo et al. (2006).”
Metallicity Effects on Mid-Infrared Colors and the 8 μm PAH Emission in Galaxies (2005, methodology): “The MIPS data were reduced using the MIPS Data Analysis Tool (Gordon et al. 2005).”
S-COSMOS: The Spitzer Legacy Survey of the Hubble Space Telescope ACS 2 deg2 COSMOS Field I: Survey Strategy and First Analysis (2007, methodology): “The MIPS-70 and MIPS-160 data were reduced using the online SSC BCD products following the pipeline algorithms presented in Gordon et al. (2005) and the filtering techniques of Frayer et al. (2006a).”
A Spitzer Space Telescope Study of Disks in the Young σ Orionis Cluster (2007, methodology): “The 24 m images were processed using the MIPS instrument team Data Analysis Tool (DAT), which calibrates the data and applies a distortion correction to each individual exposure before combining them into a final mosaic (Gordon et al. 2005).”
NEW DEBRIS DISKS AROUND YOUNG, LOW-MASS STARS DISCOVERED WITH THE SPITZER SPACE TELESCOPE (2009, unknown): “The data were reduced using the MIPS Data Analysis Tool (DAT, Gordon et al. 2005), which performs the necessary steps need to produce a final mosaic of the target.”
Star Formation and the Growth of Stellar Mass (2007, methodology): “MIPS 24 m Data and Star Formation Rates Spitzer has observed two of the COMBO-17 fields: a 1 ; 0:5 field around the extended Chandra Deep Field South (CDFS) in 2004 January and February as part of the time allocated to the Spitzer Guaranteed Time Observers (GTOs), and a similarly sized field around ”
Infrared Luminosity Functions from the Chandra Deep Field-South: The Spitzer View on the History of Dusty Star Formation at 0 ≲ z ≲ 1* (2005, methodology): “The effective integration time per sky pixel was ∼1380 s. Data reduction was carried out using the MIPS Data Analysis Tool (DAT, Gordon et al. 2005).”
Clustered and Triggered Star Formation in W5: Observations with Spitzer (2008, methodology): “We produced final mosaics using the MIPS instrument team Data Analysis Tool, which calibrates the data and applies a distortion correction to each individual exposure before combining (Gordon et al. 2005).”
Debris Disks in Main-Sequence Binary Systems (2006, methodology): “Data were processed using the MIPS instrument team Data Analysis Tool (Gordon et al. 2005).”
The All-Wavelength Extended Groth Strip International Survey (AEGIS) Data Sets (2006, methodology): “The data were reduced and mosaiced with the MIPS Data Analysis Tool (Gordon et al. 2005).”
The Spitzer Survey of the Small Magellanic Cloud: S3MC Imaging and Photometry in the Mid- and Far-Infrared Wave Bands (2006, methodology): “Because of the complexities of dealingwith the ‘‘first frame’’ effect, row droop, and other similar artifacts in the current software pipeline (Gordon et al. 2005), we have not applied any extensive processing to form the 70 m mosaic.”
Debris Disks around Sun-like Stars (2007, methodology): “The data reduction is based on the DAT software developed by the MIPS instrument team (Gordon et al. 2005).”
Infrared Power-Law Galaxies in the Chandra Deep Field-South: Active Galactic Nuclei and Ultraluminous Infrared Galaxies (2006, methodology): “The MIPS data were reduced using the Data Analysis Tool (DAT) package developed by the MIPS instrument team (Gordon et al. 2005).”
SPITZER SAGE SURVEY OF THE LARGE MAGELLANIC CLOUD. III. STAR FORMATION AND ∼1000 NEW CANDIDATE YOUNG STELLAR OBJECTS (2008, methodology): “The MIPS data were processed using the MIPS Data Analysis Tool version 3.02 (DAT; Gordon et al. 2005).”
A Spitzer Census of the IC 348 Nebula (2007, methodology): “The data were reduced and mosaicked using the MIPS instrument team Data Analysis Tool (Gordon et al. 2005).”
The Complete Census of 70 μm-Bright Debris Disks within “The Formation and Evolution of Planetary Systems” Spitzer Legacy Survey of Sun-like Stars (2007, unknown): “4.0 and theMIPSDAT pipeline (Gordon et al. 2005) ver.”
Absolute Calibration and Characterization of the Multiband Imaging Photometer for Spitzer. I. The Stellar Calibrator Sample and the 24 μm Calibration (2007, methodology): “Experience gained with the flight instrument has prompted the application of additional processing, not discussed by Gordon et al. (2005), to remove low-level instrumental artifacts.”
The Cosmic Infrared Background Resolved by Spitzer. Contributions of Mid-Infrared Galaxies to the Far-Infrared Background. (2006, methodology): “The data were reduced and mosaicked using the Data Analysis Tool (Gordon et al., 2005).”
Spitzer View on the Evolution of Star-forming Galaxies from z = 0 to z ~ 3 (2005, methodology): “The reduction of the 24 m images was carried out with the MIPS Data Analysis Tool (Gordon et al. 2005).”