ISOCAM Interactive Analysis User's Manual Version 5.0 - ISO - ESA

302 CHAPTER 23. X CIA REFERENCE GUIDE
• View / Result / Reconstructed Raster Map: Display the reconstructed map of the
raster.
• View / Result / Monochromatic CVF Frames: Display one by one the averaged
monochromatic frames of the CVF scan.
• View / Result / All CVF Frames: Display one by one all frames of the CVF scan in
order to visualize the transient effects from one CVF wheel position to another.
• View / Ra-Dec-Roll Info: Display the Ra, Dec, Roll parameters of each averaged
frames corresponding to each configuration of the camera. Ra, Dec, Angle, Rotation and
Orientation of the reconstructed raster map are also displayed in the message window.
• View / Change LUT: Adjust the color table.
• Dark / None: No dark correction is performed.
• Dark / User Input: A user dark frame can be given as input in order to subtract the
dark current. The user must then use the following command to start the session:
CIA> x_cia, indark=my_dark
my dark is a 32×32 array).
• Dark / Cal-G: The dark frame is extracted from the calibration database.
• Dark / Model [default]: The dark frame is created from the dark model.
• Deglitch / None: No deglitch correction is performed.
• Deglitch / Manual: Glitches are removed interactively.
• Deglitch / Particle Impact: The glitch detection is based on the analysis of cosmic
particle impacts.
• Deglitch / Temporal: All values higher than 3 times the (temporal) standard deviation
of a pixel are considered as a glitch. Note that this method is not robust when data are
not stabilized.
• Deglitch / Spatial: All values higher than 3 times the (spatial) standard deviation of a
pixel are considered as a glitch.
• Deglitch / Temporal & Spatial: Both temporal and spatial informations are used. This
method doesn’t allow to detect either strong glitches which remain for many exposures,
or successive glitches hitting the same pixel within a short time interval.
• Deglitch / Multiresolution Median [default]: Multiresolution information is taken
into account to detect all significant small scale structures (not due to the noise). As no
structure can be detected either in the first frame or in the last one, these frames are
completely masked and lost. This method gives good results even when data are not well
stabilized.
• Transient / None: No transient correction is performed.