Plot ? |
Symb ? |
Source * |
Average ? |
Thresholds ? |
N_ data |
QC1 parameter |
Data downloads |
Remarks |
method |
value |
unit |
method |
value |
1 |
| QC1DB |
MEDIAN |
5463.1 |
number_counts |
VAL | 4500,7000 |
89 |
disp4_number_counts |
this |
last_yr |
all
|
[ARIII] filter with prism |
2 |
| QC1DB |
MEDIAN |
960.13 |
number_counts |
VAL | 700,1300 |
89 |
disp4_number_counts |
this |
last_yr |
all
|
[ARIII] filter with grism |
3 |
| QC1DB |
MEDIAN |
1849.79 |
number_counts |
VAL | 1500,2500 |
89 |
image1_number_counts |
this |
last_yr |
all
|
[ARIII] filter open |
4 |
| QC1DB |
MEDIAN |
6748.13 |
number_counts |
VAL | 5500,9000 |
89 |
image1_number_counts |
this |
last_yr |
all
|
[ARIII] filter open |
5 |
| QC1DB |
MEDIAN |
8904.42 |
number_counts |
VAL | 8000,12000 |
89 |
disp5_number_counts |
this |
last_yr |
all
|
[NeII] filter with prism |
6 |
| QC1DB |
MEDIAN |
1551.24 |
number_counts |
VAL | 1000,2400 |
89 |
disp5_number_counts |
this |
last_yr |
all
|
[NeII] filter with grism |
7 |
| QC1DB |
MEDIAN |
3058.05 |
number_counts |
VAL | 2800,3800 |
89 |
image2_number_counts |
this |
last_yr |
all
|
[NeII] filter open |
8 |
| QC1DB |
MEDIAN |
11265.3 |
number_counts |
VAL | 10500,14000 |
89 |
image2_number_counts |
this |
last_yr |
all
|
[NeII] filter open |
9 |
| QC1DB |
MEDIAN |
8410.7 |
number_counts |
VAL | 7500,11000 |
89 |
disp6_number_counts |
this |
last_yr |
all
|
[SIV] filter with prism |
10 |
| QC1DB |
MEDIAN |
1685.74 |
number_counts |
VAL | 1000,2500 |
89 |
disp6_number_counts |
this |
last_yr |
all
|
[SIV] filter with grism |
11 |
| QC1DB |
MEDIAN |
2851.02 |
number_counts |
VAL | 2500,3800 |
89 |
image3_number_counts |
this |
last_yr |
all
|
[SIV] filter open |
12 |
| QC1DB |
MEDIAN |
10106.9 |
number_counts |
VAL | 9000,13000 |
89 |
image3_number_counts |
this |
last_yr |
all
|
[SIV] filter open |
|
*Data sources: QC1DB: QC1 database; LOCAL: local text file
|
Plot 1 | data source: | midi_dettrn (QC1 database) |
dataset: | disp4_number_counts | |
median: | 5463.1 | number_counts |
fixed thresholds: | 4500...7000 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 2 | data source: | midi_dettrn (QC1 database) |
dataset: | disp4_number_counts | |
median: | 960.13 | number_counts |
fixed thresholds: | 700...1300 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 3 | data source: | midi_dettrn (QC1 database) |
dataset: | image1_number_counts | |
median: | 1849.79 | number_counts |
fixed thresholds: | 1500...2500 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 4 | data source: | midi_dettrn (QC1 database) |
dataset: | image1_number_counts | |
median: | 6748.13 | number_counts |
fixed thresholds: | 5500...9000 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 5 | data source: | midi_dettrn (QC1 database) |
dataset: | disp5_number_counts | |
median: | 8904.42 | number_counts |
fixed thresholds: | 8000...12000 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 6 | data source: | midi_dettrn (QC1 database) |
dataset: | disp5_number_counts | |
median: | 1551.24 | number_counts |
fixed thresholds: | 1000...2400 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 7 | data source: | midi_dettrn (QC1 database) |
dataset: | image2_number_counts | |
median: | 3058.05 | number_counts |
fixed thresholds: | 2800...3800 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 8 | data source: | midi_dettrn (QC1 database) |
dataset: | image2_number_counts | |
median: | 11265.3 | number_counts |
fixed thresholds: | 10500...14000 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 9 | data source: | midi_dettrn (QC1 database) |
dataset: | disp6_number_counts | |
median: | 8410.7 | number_counts |
fixed thresholds: | 7500...11000 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 10 | data source: | midi_dettrn (QC1 database) |
dataset: | disp6_number_counts | |
median: | 1685.74 | number_counts |
fixed thresholds: | 1000...2500 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 11 | data source: | midi_dettrn (QC1 database) |
dataset: | image3_number_counts | |
median: | 2851.02 | number_counts |
fixed thresholds: | 2500...3800 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
Plot 12 | data source: | midi_dettrn (QC1 database) |
dataset: | image3_number_counts | |
median: | 10106.9 | number_counts |
fixed thresholds: | 9000...13000 | number_counts |
N_data plotted: | 89 |
[click on plot for closeup] |
This plot
The number of counts is used to calculate the transmission of the dispersive elements. Transmission PRISM=(counts PRISM)/(counts OPEN, DIT=15ms). Transmission GRISM=(counts GRISM)/(counts OPEN, DIT=5ms)
General information
Click on any of the plots to see a close-up version.
The latest date is indicated on top of the plot, data points belonging to that date are specially marked.
If configured,
- 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
|