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Since each pixel is being read out, the entire noise component photon plus read noise is increased 4 fold note the yellow parentheses. Using these two equations and applying some arbitrary but reasonable initial values for the variables at a dark site versus light polluted site yields the following graphs: Graph of binning at a dark site.
Conditions are stated in the figure legend and include a total cumulative exposure time of 6 hours for both curves.
The exact number is not as important as the principle illustrated by the shape of the curves. As above, conditions are stated in the figure legend and include a total cumulative exposure time of 6 hours for both curves.
Binning is mainly useful for reducing the subexposure duration, but this is relevant only if you feel that the calculated subexposure duration unbinned is unacceptably long. However, if the noise contribution from sky glow is already dominant in your subs, reducing the effective read noise contribution with 2x2 binning will have very little effect.
For instance, if you have a low read noise camera and are taking a luminance image at a light polluted site, your calculated subexposures will typically be quite short, and binning would provide little advantage but will compromise resolution image scale at 2x2 binning is twice that of unbinned, etc.
Also, note that binning will not appreciably improve the final signal to noise ratio of the cumulative exposure, assuming that your subs are photon limited. The downside of binning is a reduction in resolution if your unbinned images are already undersampled or borderline undersampled. So only use binning if you are very well sampled to start with, and if you feel the need to shorten your subexposure duration due to the reasons mentioned above.
On the other hand, if your calculated subexposure durations unbinned are within a perfectly acceptable range however you wish to define that, based upon your mount, accuracy of polar alignment, and patiencethen you do not need to bin.
The other use of binning is to achieve an image scale that is more realistic for the seeing conditions.
For instance, if your image scale unbinned is 0. This is because an unbinned image scale of 0. You can't resolve 0. Binning can be very helpful in this situation.
If you bin such a system 2x2, the image scale becomes 0. This is appropriate for a seeing of roughly 0. Your images will not suffer any loss of resolution compared to the 0.If you're behind a web filter, please make sure that the domains *rutadeltambor.com and *rutadeltambor.com are unblocked.
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