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Sky combination

Sky combination is a method used to filter out low-frequency sky variations from a set of jittered images. The algorithm is based on a non-linear filtering of pixels along time. One estimated sky frame is estimated per input raw frame.

The method is iterating on each pixel position on the detector along a time line. The algorithm can be described for each pixel position as:

Notice that if rmin = rmax = h this method is equivalent to a running median filter: only the central sorted value is kept. Do not use such settings for rmin and rmax though, since it would leave edge planes with undefined values.

Edge effects are not negligible: the first and last h planes do not use 2h+1 raw planes for sky estimation, but between h+1 and 2h+1. This lower amount of information is propagated to a less precise sky estimation and thus more noise in the subtracted frames.

User-provided parameters are:

This method is sensitive to an initial assumption: namely, when a pixel position sees mostly an object signal and not a sky background variation, it becomes difficult (if possible) to discriminate sky from object signal. This is the case for extended and bright objects: when jittered around, the offsets are never big enough to prevent skewed estimations. The resulting artefacts are usually dark crowns surrounding bright objects in the final image. They are directly affecting photometry and signal-to-noise measurements.


next up previous
Next: Frame offset detection Up: Sky background estimation Previous: Poisson offset generation
Nicolas Devillard
1999-06-21