Computer Science
Scientific paper
Mar 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004msngr.115...37k&link_type=abstract
The Messenger (ISSN0722-6691), No.115, p. 37-39 (March 2004)
Computer Science
7
Scientific paper
We present a method to significantly reduce large-scale photometric variations seriously affecting imaging data from the Wide Field Imager (WFI). The primary source for these gradients is non-uniform illumination, which cannot be corrected by standard flatfielding techniques. Comparison of our observations with well-calibrated multi-colour photometry from the SDSS enabled us to characterize and quantify these variations and finally to model them using a second-order polynomial. Application of the model to our observations and an independent dataset consistently reduced the large-scale gradients and thus provides a generally valid and simple tool for improving WFI photometry.
Caldwell John A. R.
Grebel Eva Katharina
Koch Alan
Odenkirchen Michael
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