The geometric calibration of the Planck satellite using solar system objects

Harrison, D. L.; Leeuwen, F. van

doi:10.1111/j.1365-2966.2005.09758.x

Cited by 1 publication

(1 citation statement)

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“…The geometric calibration of an instrument such as the Planck satellite has been described in detail in Harrison & van Leeuwen (2005) and Harrison & van Leeuwen (2006), where it is shown that an accuracy of about 0.01 times the full‐width half maximum (FWHM) of the IRF can realistically be obtained. Thus, in the following discussion, uncertainties in the geometric calibration will in first instance be ignored, though we will come back to these very briefly in the final section of this paper.…”

Section: The Mathematical Modelmentioning

confidence: 99%

Optimizing point-source parameters for scanning satellite surveys

Leeuwen¹,

Morgan²,

Harrison³

2009

Monthly Notices of the Royal Astronomical Society

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We describe a method for deriving the position and flux of point and compact sources observed by a scanning survey mission. Results from data simulated to test our method are presented, which demonstrate that at least a 10-fold improvement is achievable over that of extracting the image parameters, position and flux, from the equivalent data in the form of pixel maps. Our method achieves this improvement by analysing the original scan data and performing a combined, iterative solution for the image parameters. This approach allows for a full and detailed account of the point-spread function, or beam profile, of the instrument. Additionally, the positional information from different frequency channels may be combined to provide the flux-detection accuracy at each frequency for the same sky position. Ultimately, a final check and correction of the geometric calibration of the instrument may also be included. The {\it Planck} mission was used as the basis for our simulations, but our method will be beneficial for most scanning satellite missions, especially those with non-circularly symmetric point-spread functions.Comment: 13 pages, 14 figures, 3 tables, accepted for publication by MNRA

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Section: The Mathematical Modelmentioning

confidence: 99%