2023:groups:smtools:start
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2023:groups:smtools:start [2023/06/19 10:50] stefan.kiebacher tuning ... |
2023:groups:smtools:start [2023/06/19 11:09] stefan.kiebacher tuning ... |
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| - Les Houches Accord on some Benchmark observable+weight sets: | - Les Houches Accord on some Benchmark observable+weight sets: | ||
| - Observable quality & quantity requirements: | - Observable quality & quantity requirements: | ||
| + | - No ratio Rivets if full information is available? | ||
| + | - Reduce double counting of observables: | ||
| + | - No gaps in histogram (see e.g. some ALEPH identified particle momentum distribution) | ||
| + | - Smaller bin-width is preferred | ||
| + | - Enough statistics: | ||
| + | - NOTE: If the errors of the data are to small a theory uncertainty should be provided to the tuning framework otherwise the minimization will likely over-fit this data | ||
| - Benchmark sets: | - Benchmark sets: | ||
| - Conservative set of selected (IRC safe?) Event Shapes: | - Conservative set of selected (IRC safe?) Event Shapes: | ||
| - Input from perturbative experts needed | - Input from perturbative experts needed | ||
| - Only close to the peak, where hadronization is not dominant | - Only close to the peak, where hadronization is not dominant | ||
| - | - Tuning | + | - Provide global sets from each generator to gather information |
| + | - Ultimate goals: | ||
| + | - Minimal set of accorded observables+weights among all generators for comparability | ||
| + | - Tune using $\chi^2$ (more strict) and $\chi^2/(1+\chi^2)$ (less strict) | ||
| + | - Maximal set of accorded observables+weights among all generators for comparability | ||
| + | - Tune using $\chi^2$ (more strict) and $\chi^2/(1+\chi^2)$ (less strict) | ||
| - Provide recommendations to experiments on tuning? | - Provide recommendations to experiments on tuning? | ||
| - ... | - ... | ||
2023/groups/smtools/start.txt · Last modified: 2023/06/19 11:11 by stefan.kiebacher
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