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7.5 Removal of the Photocathode Sensitivity Pattern

  The fundamental principle that underlies the removal of the pattern created by variations in photocathode sensitivity discussed in §6.1.3 (i.e., the blotches that show up in Fig. 4) is relatively simple: one just needs to take a raw image and divide by another image that shows a map of the sensitivity. However, the details of this procedure are complex for a number of reasons. First, the DN level that corresponded to zero ultraviolet illumination on the photocathode was variable over different images, owing to the response of the CCD's dark-level servo circuit to real spectral signals (§3.5). It is important that this level be determined accurately for the correction to work. Also, on some occasions when the instrument was viewing near the bright limb of the Earth, there was some nonuniform, direct illumination of the CCD with scattered visible light. This fogging added an additional background unrelated to ultraviolet signals that were affected by the photocathode's response.

Another complication emerged: we found that the positioning of the blotches in the CCD's reference frame changed with time. From the smoothness of the changes and repeatability from one orbit to the next (when viewing a particular star), it seemed clear that Earth's magnetic field was perturbing the trajectories of the electrons in their flight from the photocathode to the CCD. The maximum range of this motion was ±5 pixels in our data reduction format, i.e., ±75µm on the surface of the CCD. Fortunately, the offset was the same everywhere (i.e., there was only a pure translation with no changing distortion). Even with this simplification, however, it was still necessary to have the offsets measured for each individual image so that the sensitivity template image could be positioned properly before the division was done.


 
Figure 6: First stage in developing a flat field correction template: a sum of all good images recorded during the mission, with appropriate background and offset corrections for each image. The streaks are caused by the echelle orders: while they are piled on top of each other randomly, some residual lack of uniformity persists. 
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Figure 7: Final flat field correction template: A modified version of the picture shown in Fig. 6 that has been corrected for the uneven illumination of the spectra. 
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We have no test exposures where the photocathode was illuminated uniformly. Thus, in creating the sensitivity template we had to add together all spectral exposures, with appropriate translations and zero-level corrections, with the working assumption that many differerent spectra with an arbitrary mix of offsets and spectral ranges from different sources were nearly equivalent to a uniform exposure everywhere. Fig. 6 shows that, from the standpoint of accurately representing the blotches, this assumption seems to be correct. However, some streaks created by the echelle orders can be seen, despite the fact that they were piled on top of each other in a nearly random fashion. Also, gradients in intensity of the actual pictures result from the echelle blaze function (left to right) and the drop in the optical efficiency for $\lambda < 1000$Å (top to bottom).

The CCD has a small sliver at the edge of the format that is unthinned. This region responds to visible light but not to photoelectrons. We were able to use the levels recorded in this area to define a correct zero level for ultraviolet illumination, which in turn insured that our adopted sensitivity pattern had no spurious level offset.

To take out the gradients and streaks in Fig. 6, we distorted it so that all of the streaks were horizontal[*], divided each row by its best-fit third-order polynomial, and then performed the inverse of the original distortion. The result is shown in Fig. 7. This picture was the one adopted for all corrections of the individual spectral images. The vertical striations at the bottom of the picture are an artifact of our filtering scheme for electronic noise (§7.2). The attenuation of some of the energy at intermediate x frequencies (at zero y frequency) caused by the blotches created a rebound that introduced some faint vertical bands. They are barely discernable in Fig. 6, but they are strong in the bottom of Fig. 7 because this part of the picture has been amplified considerably to make it as bright as the top portion of the image. These striations are of no consequence in our correction procedure, because they are balanced out nearly perfectly by identical ones in the spectral images that were subjected to the same filtering of electrical noise.

For individual spectral images, we determined the zero levels (and their gradients in x and y, if present) and the coordinate offsets by trial and error. After invoking trial corrections, any errors in background result in white blotches (assumed background level too small) or black ones (assumed background too large). When the translational offsets are wrong, the correction produces a pattern that resembles craters on the moon. This effect can be apparent for errors in the shift as small as a few tenths of a pixel. Our direct trial method of measuring the shifts seemed to be much more effective than attempts to define the center of a cross correlation peak between the image and the template.

 
Figure 8: The appearance of an image after processing to remove the electrical interference (§7.2), the dark current pattern (§7.3), and variations in photocathode sensitivity (§7.5). This exposure is the same as that shown in Fig. 4. The bottom and left-hand portions of the picture have been enhanced to take out the natural sensitivity gradients produced by the echelle blaze function and the loss of sensitivity below 1000Å. One can notice that the picture is slightly noisier in the locations where there were photocathode blotches, as is to be expected from the lower quantum efficiency. In the lower left and lower right corners, there is fogging produced by some scattered visible light that entered the instrument (this picture was taken during a daylight portion of the orbit). The enhancement of the bottom part of the picture exaggerates this effect (compare with Fig. 4).  
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next up previous
Next: Correction of Geometric Distortions Up: Data Reduction Previous: Identification of Bad Pixels

12/15/1998