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ISAAC trending system: HISTORY plot
Last update: 2009-01-11T23:54:30 (UT)
same group: Linearity@10000 Lin_zoom@10000 Linearity@5000 Lin_zoom@5000
close window history: 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013   HEALTH
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*Date on this monitor changes at 21:00 UT
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  • From 2008-04 on the max counts is no longer 4000 ADU but 20000 ADU. The effective non-linearity correction at 10000 ADU is no longer an extrapolation.
Plot
?		 Symb
?		 Source
*		 Average ? Thresholds ? N_
data		 QC1
parameter		 Data
downloads		 Remarks
method value unit method value
1 oQC1DB MEDIAN -0.00991 ratio VAL-0.05,0.05 138 qc_detlin_eff this | last_yr | all SW-arm, DoubleCorr nonlinearity correction fraction at 10000 ADU
2 oQC1DB MEDIAN 0.02508 ratio VAL0.02,0.04 110 qc_detlin_eff this | last_yr | all LW, UncorrHighBias nonlinearity correction fraction at 10000 ADU
3 oQC1DB MEDIAN -0.09426 ratio none   11 qc_detlin_eff this | last_yr | all LW, DoubleCorrHighBias nonlinearity correction fraction at 10000 ADU
4 oQC1DB MEDIAN -159323.0 ratio none   12 qc_detlin_eff this | last_yr | all LW, DoubleCorrLowBias nonlinearity correction fraction at 10000 ADU
*Data sources: QC1DB: QC1 database; LOCAL: local text file
This plot

This is the trending plot for the ISAAC Linearity calibration frames. The non-linearity polynom is :

counts_corrected = counts_meas + B/A * counts_meas^2 + C/A * counts_meas^3

Dividing by counts_meas, and subtracting 1 and apply the formular for a reference count level of 10 000 ADU we get:

lin_eff (10000 ADU) = ( counts_corr / counts_meas ) - 1 =

B/A * 10000 + C/A * 10000 * 10000 =

These plots describe:
1. SW, DoubleCorr
2. LW, UncorrHighBias
3. LW, DoubleCorrHighBias
4. LW, DoubleCorrLowBias
Find more information about ISAAC Linearity frames here.

Other QC parameters related to detector properties (like read noise, are trended.  

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