How to calculate Signal to noise ratio in a completely dark image

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I am working on a high school scientific paper where I am trying to show the impact of heat on CCD and CMOS cameras. I have "completely" black pictures taken in different temperatures (The camera is enclosed in a completely light-sealed environment) and as they are completely black there should only be luminance values of 0. Is there any really easy way of just picking out the values that are above 0 and treat that at noise?, maybe with a simple Python code? Should I also value higher value noise in a linear or exponential way?

I am using a Canon 500d which spits out Canons raw format, I am also interested in trying it with my Nikon d5300 which spits out .NEF files

Any help is welcome

Found a program called FIJI which I tried to get help me extract the SNR, but I could not get it to work.

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