Additions to RooFit tutorial; links to 2020 tutorial presentations #812
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… links to previous presentations
adewit
changed the title
nsmith-
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Jan 25, 2023
nsmith-
reviewed
Jan 25, 2023
| minim.minimize("Minuit2","migrad") | ||
| bestfitnll = nll.getVal() | ||
| ``` | ||
| Notice that we need to set the error level to 0.5 to get the uncertainties (relying on Wilks' theorem!) - note that there is a more reliable way of extracting the confidence interval (explicitly rather than relying on migrad). We will discuss this a bit later in this section. |
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Would this be explicitly relying on hesse? I don't know if the minimize call implicitly uses hesse but I imagine it does if the error is reported. Migrad can build an approximate hessian but idk if that is what is reported here.
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Adds this exercise: https://cms-analysis.github.io/HiggsAnalysis-CombinedLimit/tutorial2020/exercise/#e-fitting into the 'RooFit basics' page. Also adds a 'Background' section at the top of the long exercise, with links to presentations from the 2020 tutorial (about likelihoods, confidence intervals, and about limit setting)