Flat Field

The CCD and the entire setup has many other sources of error which have a multiplicative effect, meaning a certain pixel will always be X times less sensitive than average. This can be from a variety of reasons, but most commonly caused from dust somewhere near the focus, and variations of the sensitivity of each pixel. You can see both of those effects in the image above. Each of those rings are out of focus dust particles in the system. You can also see that the right side CCD chip looks less sensitive (darker) than the rest of it. If our system were perfect, we would see a pure grey (flat) field, since this was an image of the uniform sky at sunset. The pattern we see when we should see nothing gives us the way to correct all of our real images, by dividing out this effect.

Since each filter can introduce different effects because the pixel sensativity is a function of wavelength, a flat field must be created for each filter (RGB), and clear. The way to characterize this is to take a picture of an evenly illuminated surface, like the sky at sunset, or a nice, evenly illuminated white screen.

After subtracting the bias and the scaled dark frame from both the object image and the flat field image, we will divide by the object image by the flat field, pixel by pixel. Since we don't want to change the overall counts in the image, we will multiply the entire image by the average of the flat field, so the average effect of the flat field correction will by multiplying by one.

Sound complicated? Don't worry, MaxIM DL will do this all automatically for you. You just have to take the appropriate calibration images and tell MaxIM DL what they are. It will do the rest!

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