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I want to fit my experimental statistical data, which looks very close to a Gaussian distribution, by a perfect Gaussian distribution. I'd like the amplitude, mean/center, width/signa, and background/vertical_offset to all be adjusted for best fit. I know that this can be accomplished using the genfit function; but I suppose others have already done this so that I don't need to reinvent the wheel. I'm running Prime 9.0.0.0.
Solved! Go to Solution.
Reinventing the wheel?
Its straightforward, nothing special.
Define the function type with its parameters you wish to fit with and use "genfit" by providing some reasonable guesses.
Reinventing the wheel?
Its straightforward, nothing special.
Define the function type with its parameters you wish to fit with and use "genfit" by providing some reasonable guesses.
Thanks!
