Background subtraction
I have a histogram of counts which is made from ion fragmentation and
noise superimposed on top of it. I also have an image of just the noise.
What I want to do is to subtract the noise of the total image in order to
only be left with the ion counts. The problem that I am encounter is that
if I simply subtract the background, I get negative numbers of counts at
certain pixels (because the noise is statistical). This would be fine,
except that I then want to do an abel inversion which requires all the
counts to be positive. Also, just setting all of the negative values equal
to zero biases the data. Does anyone know of a method for background
subtraction that will not allow any of the numbers to be negative but
doesn't bias the data? Maybe something involving a poisson error bar. The
help would be very appreciated!
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