When ROOT scales a profile histogram it keeps the contents fixed and reduces the error by the square root of the scale factor. This is because it scales the sum of the weights, the sum of the weights squared, and also the number of entries. Is this behavior correct? I want to scale the histogram, that is, the contents and the errors, like one would scale a 1D histogram. Do I have to convert it to a 1D and then scale it? Is the only way to convert it to loop over the bins getting each content and error and putting them into the 1D? I am using root 2.23/12 in root4star. Art Poskanzer and Glenn Cooper
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