[page auto-refreshes after 60 sec]            [press Ctrl+R to enforce refresh of scores and dates]
FORS2 trending system: HISTORY plot
Last update: 2009-04-11T23:50:49 (UT)
same group: med_master ron_raw ron_master fp_raw struct_raw pattern
close window history: 2006 2007 2008   2009   2010   2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024   HEALTH
  ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
*Date on this monitor changes at 21:00 UT
Print: Information and research:
- png file - advanced studies: QC1 browser | QC1 plotter
Plot
?		 Symb
?		 Source
*		 Average ? Thresholds ? N_
data		 QC1
parameter		 Data
downloads		 Remarks
method value unit method value
1 •QC1DB MEDIAN 2.15 ADU VAL1.8,2.4 68 noise_master this | last_yr | all 100Kps/2ports/high_gain, 2x2
2 •QC1DB MEDIAN 2.37 ADU VAL2.0,2.6 68 noise_master this | last_yr | all 100Kps/2ports/high_gain, 2x2
3 •QC1DB MEDIAN 1.41 ADU VAL1.25,1.6 57 noise_master this | last_yr | all 200Kps/2ports/low_gain, 2x2
4 •QC1DB MEDIAN 1.52 ADU VAL1.35,1.7 57 noise_master this | last_yr | all 200Kps/2ports/low_gain, 2x2
*Data sources: QC1DB: QC1 database; LOCAL: local text file
This plot

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, 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