Health Check monitor

Plot 1 scores: 2|
data source:	sinfoni_dark (QC1 database)
dataset:	qc_darkmed_ave	•
median:	11.00714	ADU
fixed thresholds:	0.0...25.0	ADU
N_data plotted:	43
[click on plot for closeup]

Plot 2 scores: 2|
data source:	sinfoni_dark (QC1 database)
dataset:	qc_darkmed_stdev	•
median:	0.62159	ADU
fixed thresholds:	-3.0...4.0	ADU
N_data plotted:	43
[click on plot for closeup]

Plot 3 scores: 2|
data source:	sinfoni_dark (QC1 database)
dataset:	qc_ron2	•
median:	3.02209	ADU
fixed thresholds:	2.5...3.75	ADU
N_data plotted:	43
[click on plot for closeup]

Plot 4 scores: 2|
data source:	sinfoni_dark (QC1 database)
dataset:	qc_gaf_fpn	•
median:	2.26225	ADU
fixed thresholds:	1.0...4.0	ADU
N_data plotted:	43
[click on plot for closeup]

Plot 5 scores: 2|
data source:	sinfoni_dark (QC1 database)
dataset:	qc_bpm_nbadpix	•
median:	10021.0	number
fixed thresholds:	2000.0...20000.0	number
N_data plotted:	43
[click on plot for closeup]

Plot 6 scores: 2|
data source:	sinfoni_dark (QC1 database)
dataset:	qc_oes2	•
median:	-0.02882	unitless
fixed thresholds:	-2.0...2.0	unitless
N_data plotted:	43
[click on plot for closeup]

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 dark level, linearity, gain, etc.) are also trended here.