z-logo
open-access-imgOpen Access
Reduction Algorithms for the Multiband Imaging Photometer forSpitzer
Author(s) -
Karl D. Gordon,
George H. Rieke,
C. W. Engelbracht,
James Muzerolle,
J. A. Stansberry,
K. A. Misselt,
Jane Morrison,
James Cadien,
Erick T. Young,
H. Dole,
Douglas Kelly,
A. AlonsoHerrero,
Eiichi Egami,
K. Y. L. Su,
Casey Papovich,
Paul S. Smith,
Dean C. Hines,
Marcia Rieke,
Myra Blaylock,
Pablo G. PérezGonzález,
E. Le Floc’h,
J. L. Hinz,
William B. Latter,
Ted Hesselroth,
D. T. Frayer,
A. NoriegaCrespo,
Frank J. Masci,
Deborah Padgett,
M. P. Smylie,
N. M. Haegel
Publication year - 2005
Publication title -
publications of the astronomical society of the pacific
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.294
H-Index - 172
eISSN - 1538-3873
pISSN - 0004-6280
DOI - 10.1086/429309
Subject(s) - photometer , redundancy (engineering) , reduction (mathematics) , data reduction , algorithm , computer science , data redundancy , artifact (error) , optics , computer vision , physics , mathematics , data mining , geometry , operating system
We describe the data reduction algorithms for the Multiband ImagingPhotometer for Spitzer (MIPS) instrument. These algorithms were based onextensive preflight testing and modeling of the Si:As (24 micron) and Ge:Ga (70and 160 micron) arrays in MIPS and have been refined based on initial flightdata. The behaviors we describe are typical of state-of-the-art infrared focalplanes operated in the low backgrounds of space. The Ge arrays are bulkphotoconductors and therefore show a variety of artifacts that must be removedto calibrate the data. The Si array, while better behaved than the Ge arrays,does show a handful of artifacts that also must be removed to calibrate thedata. The data reduction to remove these effects is divided into three parts.The first part converts the non-destructively read data ramps into slopes whileremoving artifacts with time constants of the order of the exposure time. Thesecond part calibrates the slope measurements while removing artifacts withtime constants longer than the exposure time. The third part uses theredundancy inherit in the MIPS observing modes to improve the artifact removaliteratively. For each of these steps, we illustrate the relevant laboratoryexperiments or theoretical arguments along with the mathematical approachestaken to calibrate the data. Finally, we describe how these preflightalgorithms have performed on actual flight data.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom