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When performing an analysis there are important procedures that usually have to be performed for an analysis. Hence tensorwaves could standardize these to some degree. The issue serves more as a discussion platfrom for now. @wgradl@redeboer@Leongrim@sebastianJaeger please feel free to extend and modify this issue. The procedures are:
input output checks
statistical validation. This means performing N independent full toy MC data analysis. One full toy MC data analysis consists of generating a toy MC data sample, and fitting the sample. All in all this returns N fit results, which can be combined into residual distributions for the fit parameters.
Bootstrapping could be used here, to minimize the number of data samples that need to be created
The text was updated successfully, but these errors were encountered:
Moving this to compwa-org as this is best implemented in an overarching, PWA-specific compwa library that provides façade functions for QRules, AmpForm, and TensorWaves.
When performing an analysis there are important procedures that usually have to be performed for an analysis. Hence tensorwaves could standardize these to some degree. The issue serves more as a discussion platfrom for now. @wgradl @redeboer @Leongrim @sebastianJaeger please feel free to extend and modify this issue. The procedures are:
The text was updated successfully, but these errors were encountered: