Understand
Model complexity in amplitude analyses is often a priori under-constrained since the underlying theory permits a large number of possible amplitudes to contribute to most physical processes.
- The use of an overly complex model results in reduced predictive power and worse resolution on unknown parameters of interest.
- Therefore, it is common to reduce the complexity by removing from consideration some subset of the allowed amplitudes.
- This paper studies a method for limiting model complexity from the data sample itself through regularization during regression in the context of a multivariate (Dalitz-plot) analysis.
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