Plot 1
data source:	isaac_line (QC1 database)
parameter | dataset:	qc_detlin_5000	o
median:	6449.25977	ratio
fixed thresholds:	-0.02...0.02	ratio
N_data:	2
[click on plot for closeup]

Plot 2
data source:	isaac_line (QC1 database)
parameter | dataset:	qc_detlin_5000	o
median:	0.00876	ratio
fixed thresholds:	0.01...0.02	ratio
N_data:	8
[click on plot for closeup]

Plot 3
data source:	isaac_line (QC1 database)
parameter | dataset:	qc_detlin_5000	o
median:	29.1027	ratio
thresholds:	none
N_data:	13
[click on plot for closeup]

Plot 4
data source:	isaac_line (QC1 database)
parameter | dataset:	qc_detlin_5000	o
median:	-19832.0	ratio
thresholds:	none
N_data:	7
[click on plot for closeup]

This is the trending plot for the ISAAC Linearity calibration frames. The non-linearity polynom is :

counts_corrected = counts_meas + B/A * counts_meas^2 + C/A * counts_meas^3

Dividing by counts_meas, and subtracting 1 and apply the formular for a reference count level of 10 000 ADU we get:

lin_eff (5000 ADU) = ( counts_corr / counts_meas ) - 1 =

B/A * 5000 + C/A * 5000 * 5000 =

These plots describe:
1. SW, DoubleCorr
2. LW, UncorrHighBias
3. LW, DoubleCorrHighBias
4. LW, DoubleCorrLowBias
Find more information about ISAAC Linearity frames here.

Other QC parameters related to detector properties (like read noise, are trended.