Plot
? |
Symb
? |
Source
* |
Average ? |
Thresholds ? |
N_
data |
QC1
parameter |
Data
downloads |
Remarks |
| method |
value |
unit |
method |
value |
| 1 |
• | QC1DB |
MEDIAN |
0.911 |
ADU |
VAL | 0.6,1.3 |
62 |
noise_master |
this |
last_yr |
all
|
Chip 1, 100Kps/2ports/high_gain, 2x2 |
| 2 |
• | QC1DB |
MEDIAN |
1.08 |
ADU |
VAL | 0.6,1.3 |
62 |
noise_master |
this |
last_yr |
all
|
Chip 2, 100Kps/2ports/high_gain, 2x2 |
| 3 |
• | QC1DB |
MEDIAN |
0.658 |
ADU |
VAL | 0.2,1.0 |
61 |
noise_master |
this |
last_yr |
all
|
Chip 1, 200Kps/2ports/low_gain, 2x2 |
| 4 |
• | QC1DB |
MEDIAN |
0.721 |
ADU |
VAL | 0.2,1.0 |
61 |
noise_master |
this |
last_yr |
all
|
Chip 2, 200Kps/2ports/low_gain, 2x2 |
| |
|
*Data sources: QC1DB: QC1 database; LOCAL: local data source
|
Plot 1
scores:  4|
| | data source: | fors2_bias
(QC1 database) |
| dataset: | noise_master | • |
| median: | 0.911 | ADU |
| fixed thresholds: | 0.6...1.3 | ADU |
| N_data plotted: | 62 |
| [click plot for closeup] |
Plot 2
scores: 4|
| | data source: | fors2_bias
(QC1 database) |
| dataset: | noise_master | • |
| median: | 1.08 | ADU |
| fixed thresholds: | 0.6...1.3 | ADU |
| N_data plotted: | 62 |
| [click plot for closeup] |
Plot 3
scores: 5|
| | data source: | fors2_bias
(QC1 database) |
| dataset: | noise_master | • |
| median: | 0.658 | ADU |
| fixed thresholds: | 0.2...1.0 | ADU |
| N_data plotted: | 61 |
| [click plot for closeup] |
Plot 4
scores: 5|
| | data source: | fors2_bias
(QC1 database) |
| dataset: | noise_master | • |
| median: | 0.721 | ADU |
| fixed thresholds: | 0.2...1.0 | ADU |
| N_data plotted: | 61 |
| [click plot for closeup] |
For the master an expected master bias noise is calculated from the
ron of the raw data, divided by the square root of the number of
frames that were used to create the master bias. Then the population
standard deviation of the pixel values of the master bias is
determined, excluding all pixels that differ more than three times the
expected ron from the median level of the master bias. Details
can be found in the plot tutorial.
DB Name: fors2_bias
TPL.ID: img_cal_bias
Fits header keyword: QC.MBIAS.NOISE
QC1 DB parameter: noise_master
General information
Click on any of the plots to see a close-up version.
The latest date is indicated on top of the plot.
If configured,
- data points belonging to the latest date are specially marked
- statistical averages are indicated by a solid line, and thresholds by broken lines
- outliers are marked by a red asterisk. They are defined as data points outside the
threshold lines
- "aliens" (= data points outside the plot Y limits) are marked by a red arrow (↑ or ↓)
- you can download the data for each parameter set if the 'Data downloads' link shows up
|
mirror sites:
PL (internal
link) HQ
[?]
