Health Check monitor

These are the trending plots for the SINFONI QC parameters derived from DARK frames.

These plots describe:

1. the median DARK level, as computed from each master dark frame.

2. the standard deviation of the median DARK level.

3. the root-mean-squared noise, as derived by subtracting two consecutive raw dark frames, computing a median standard deviation in
selected sub-windows, computing a median standard deviation in selected sub-windows in the difference image, and then normalizing to DET.DIT=1 second.

4. the fixed pattern noise, as computed by fitting a Gaussian to the histogram of the master dark frames. The fpn is simply the standard deviation of Gaussian.

5. the number of pixels with a high dark current.

6. the odd-even column stripes in the area of slitlet #25. If med(odd) = median of all odd columns in the area of slitlet #25
and med(even) = median of all even columns in the area of slitlet #25 then, this plot is defined as:
oes25 = 2 * (med(odd) - med(even)) / (med(odd) + med(even))

Find more information about SINFONI DARK frames here.

Other QC parameters related to detector properties (like contamination, linearity, gain) are trended here.