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MIDI trending system: HEALTH CHECK report
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Last update: 2015-03-06T18:29:08 (UT)
  | now: 2024-08-16T12:22:09 (UT) muc05 QC pipeline: midi-2.8.3 (installed 2014-10-20)
same group: TRANS COUNTS
close window history: 2006 2007 2008 2009 2010 2011 2012 2013 2014   2015   HEALTH
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*Date on this monitor changes at 21:00 UT
Print: Information and research:
- png file - advanced studies: QC1 browser | QC1 plotter
- general comment: Variations in the counts are usually due to high pressure (see pressure plot)
Plot
?		 Symb
?		 Source
*		 Average ? Thresholds ? N_
data		 QC1
parameter		 Data
downloads		 Remarks
method value unit method value
1 •QC1DB MEDIAN 5.42e+03 number_counts VAL4500,7000 87 disp4_number_counts this | last_yr | all [ARIII] filter with prism
2 •QC1DB MEDIAN 940 number_counts VAL700,1300 87 disp4_number_counts this | last_yr | all [ARIII] filter with grism
3 •QC1DB MEDIAN 1.83e+03 number_counts VAL1500,2500 87 image1_number_counts this | last_yr | all [ARIII] filter open
4 •QC1DB MEDIAN 6.7e+03 number_counts VAL5500,9000 87 image1_number_counts this | last_yr | all [ARIII] filter open
5 •QC1DB MEDIAN 8.85e+03 number_counts VAL8000,12000 87 disp5_number_counts this | last_yr | all [NeII] filter with prism
6 •QC1DB MEDIAN 1.53e+03 number_counts VAL1000,2400 87 disp5_number_counts this | last_yr | all [NeII] filter with grism
7 •QC1DB MEDIAN 3.04e+03 number_counts VAL2800,3800 87 image2_number_counts this | last_yr | all [NeII] filter open
8 •QC1DB MEDIAN 1.12e+04 number_counts VAL10500,14000 87 image2_number_counts this | last_yr | all [NeII] filter open
9 •QC1DB MEDIAN 8.33e+03 number_counts VAL7500,11000 87 disp6_number_counts this | last_yr | all [SIV] filter with prism
10 •QC1DB MEDIAN 1.65e+03 number_counts VAL1000,2500 87 disp6_number_counts this | last_yr | all [SIV] filter with grism
11 •QC1DB MEDIAN 2.82e+03 number_counts VAL2500,3800 87 image3_number_counts this | last_yr | all [SIV] filter open
12 •QC1DB MEDIAN 1e+04 number_counts VAL9000,13000 87 image3_number_counts this | last_yr | all [SIV] filter open
*Data sources: QC1DB: QC1 database; LOCAL: local data source
Plot 1
scores: 8|
data source:midi_dettrn
(QC1 database)
dataset:disp4_number_counts•
median:5.42e+03number_counts
fixed thresholds:4500...7000number_counts
N_data plotted:87
[click on plot for closeup]
Plot 2
scores: 8|
data source:midi_dettrn
(QC1 database)
dataset:disp4_number_counts•
median:940number_counts
fixed thresholds:700...1300number_counts
N_data plotted:87
[click on plot for closeup]
Plot 3
scores: not implemented
data source:midi_dettrn
(QC1 database)
dataset:image1_number_counts•
median:1.83e+03number_counts
fixed thresholds:1500...2500number_counts
N_data plotted:87
[click on plot for closeup]
Plot 4
scores: not implemented
data source:midi_dettrn
(QC1 database)
dataset:image1_number_counts•
median:6.7e+03number_counts
fixed thresholds:5500...9000number_counts
N_data plotted:87
[click on plot for closeup]
Plot 5
scores: 8|
data source:midi_dettrn
(QC1 database)
dataset:disp5_number_counts•
median:8.85e+03number_counts
fixed thresholds:8000...12000number_counts
N_data plotted:87
[click on plot for closeup]
Plot 6
scores: 8|
data source:midi_dettrn
(QC1 database)
dataset:disp5_number_counts•
median:1.53e+03number_counts
fixed thresholds:1000...2400number_counts
N_data plotted:87
[click on plot for closeup]
Plot 7
scores: not implemented
data source:midi_dettrn
(QC1 database)
dataset:image2_number_counts•
median:3.04e+03number_counts
fixed thresholds:2800...3800number_counts
N_data plotted:87
[click on plot for closeup]
Plot 8
scores: not implemented
data source:midi_dettrn
(QC1 database)
dataset:image2_number_counts•
median:1.12e+04number_counts
fixed thresholds:10500...14000number_counts
N_data plotted:87
[click on plot for closeup]
Plot 9
scores: 8|
data source:midi_dettrn
(QC1 database)
dataset:disp6_number_counts•
median:8.33e+03number_counts
fixed thresholds:7500...11000number_counts
N_data plotted:87
[click on plot for closeup]
Plot 10
scores: 8|
data source:midi_dettrn
(QC1 database)
dataset:disp6_number_counts•
median:1.65e+03number_counts
fixed thresholds:1000...2500number_counts
N_data plotted:87
[click on plot for closeup]
Plot 11
scores: not implemented
data source:midi_dettrn
(QC1 database)
dataset:image3_number_counts•
median:2.82e+03number_counts
fixed thresholds:2500...3800number_counts
N_data plotted:87
[click on plot for closeup]
Plot 12
scores: not implemented
data source:midi_dettrn
(QC1 database)
dataset:image3_number_counts•
median:1e+04number_counts
fixed thresholds:9000...13000number_counts
N_data plotted:87
[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.

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