I have not been able to find anything on this specific topic, so if I missed an appropriate resource, let me know.
My goal is to take a .root file and apply a Gaussian to 16 histograms that result, and output the mean and sigma values for each histogram fit. I can do it for each individual histogram, but 16 times however many runs I have to perform has gotten to be too many. I feel like there is a simple solution, but I haven’t been able to figure it out. Any guidance would be greatly appreciated.
ROOT Version 6.12/06:
I am not sure I have understood what you are looking for. If you want to fit the histogram individually, so with different parameters for each histogram, you would need to perform a loop on the histograms and fit each one of them. This is rather easy to implement.
Instead if you need to apply a global fit with common parameters shared between the histograms, it is more complicated, but it is basically as merging the histogram.
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