Health Check monitor

Plot 4 scores: 1|
data source:	hawki_detlin (QC1 database)
dataset:	qc_lin_eff	•
median:	0.0184	ADU
fixed thresholds:	-0.02...0.04	ADU
N_data plotted:	10
[click plot for closeup]

Plot 5 scores: 1|
data source:	hawki_detlin (QC1 database)
dataset:	qc_lin_eff	•
median:	0.00883	ADU
fixed thresholds:	-0.02...0.04	ADU
N_data plotted:	10
[click plot for closeup]

Plot 2 scores: 1|
data source:	hawki_detlin (QC1 database)
dataset:	qc_lin_eff	•
median:	0.02	ADU
fixed thresholds:	-0.02...0.04	ADU
N_data plotted:	10
[click plot for closeup]

Plot 1 scores: 1|
data source:	hawki_detlin (QC1 database)
dataset:	qc_lin_eff	•
median:	0.00561	ADU
fixed thresholds:	-0.02...0.04	ADU
N_data plotted:	10
[click plot for closeup]

Trending report for effective linearity.

The plot shows the difference at 10 000 ADU between the flux obtained from 2nd order polynomial fit of flux vs. exposure time and the flux predicted by the linear term only, normalized by the polynomial flux. More information can be found on the plot tutorial page QC parameter is derived for each detector from the data of the monthly acquired detector monitor template.

Name:
Fits header: QC.LIN.EFF,
QC1 DB: qc_lin_eff

Description:
Linearity correction factor at 10 000 ADU.

Setup:
INS.FILT1.NAME=Ks

These plots describe:
Fig. 1. chip4: The QC parameter for chip #4.
Fig. 2. chip3: The QC parameter for chip #3.
Fig. 3. Average: The QC parameter averaged over all detectors. This view is sensitive to common changes.
Fig. 4. chip1: The QC parameter for chip #1.
Fig. 5. chip2: The QC parameter for chip #2.
Fig. 6. Scatter View: The standard deviation of the QC parameter, obtained from the sample of all detectors. This view is sensitive changes of individual detectors.