Plot 1 scores: 8|
data source:	uves_bias (QC1 database)
dataset:	struct_row	•
mean:	0.122	ADU
fixed thresholds:	0.095...0.149	ADU
N_data plotted:	88
[click plot for closeup]

Plot 2 scores: 13|
data source:	uves_bias (QC1 database)
dataset:	struct_row	•
mean:	0.058	ADU
fixed thresholds:	0.025...0.2	ADU
N_data plotted:	132
[click plot for closeup]

Plot 3 scores: 13|
data source:	uves_bias (QC1 database)
dataset:	struct_row	•
mean:	0.106	ADU
fixed thresholds:	0.081...0.137	ADU
N_data plotted:	132
[click plot for closeup]

Plot 4 scores: 7|
data source:	uves_bias (QC1 database)
dataset:	struct_row	•
mean:	0.308	ADU
fixed thresholds:	0.268...0.42	ADU
N_data plotted:	84
[click plot for closeup]

Plot 5 scores: 7|
data source:	uves_bias (QC1 database)
dataset:	struct_row	•
mean:	0.447	ADU
fixed thresholds:	0.347...0.645	ADU
N_data plotted:	85
[click plot for closeup]

Plot 6 scores: 7|
data source:	uves_bias (QC1 database)
dataset:	struct_row	•
mean:	0.344	ADU
fixed thresholds:	0.22...0.457	ADU
N_data plotted:	85
[click plot for closeup]

This is the trending report for the QC parameters derived from UVES BIAS frames.

Since 2021 the uves_cal_mbias recipe is executed with the --pd_compute=TRUE command line option that performs a 2D Fourier transform of each of the five raw BIAS frames and calculates the (not robust) standard deviation and (robust) MAD (median absolute deviation). Both parameters are ingested into the QC1 DB, and the maximum of the five std/stdMAD values (max_ratio) is monitored here .

The purpose of the analysis is to discriminate statistical noise, and non-statistical noise.

Find more information about UVES BIAS frames here.
Other QC parameters related to detector properties (like linearity, gain) are trended here.