Drakkith
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chroot said:I'm afraid that's wrong, too. Increasing exposure time does not increase SNR! What increases SNR is obtaining a larger number of independent observations of your desired signal -- i.e. short sub-exposures -- so you're not integrating much of the noise in each sub-exposure. When you average N sub-exposures, the SNR increases as \sqrt{N}.
Increasing the exposure times increases the signal gained. In the case of light pollution it also increases that, but either way the end result is the same. If your sky is 10,000 counts/min and your object is 1,000 counts/min, then doubling exposure times doubles both the noise and the signal. (I think because light pollution isn't normal noise, it is unwanted signal that increases linearly.) However, because the skyglow and the signal add together on your chip, I THINK you can subtract it with long enough exposures or more exposures. The readout noise, shot noise, dark noise, etc, all increases at the square root of the exposure time, not linearly, so longer exposures and more of them will definitely increase image quality.
Consider this: After 1 minute the pixels that get both the signal and the skyglow are at about 11,000 with the background at 10,000. (With the standard noise from dark current, readout, ETC) Up the exposure to 5 minutes and you will get on average a value of 55,000 for the object and 50,000 for the background. So your SNR between the object and the background is the same, but the difference is now 5,000 between the object and the background, giving you much greater range.
Averaging multiple images keeps the range the same, but it cuts back on shot noise, which is the random nature of the photons from the signal object. So you want to get BOTH exposure time and multiple images.
If I could, I'd build a rig that could take a million 1/4000th second sub-exposures, and it'd peer right through the densest pea-soup light pollution on Earth.
After combining the images the resulting image would be of similar quality of a hundred 4 second exposures or 10 forty second exposures. Worse actually, as at that low of an exposure time your images would be overwhelmingly dominated by noise. While you can subtract most of it you would never be able to get all of it.