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Machine Learning-based Unfolding for Cross Section Measurements in the Presence of Nuisance Parameters
Huanbiao Zhu, Krish Desai, Mikael Kuusela +3
Statistically correcting measured cross sections for detector effects is an important step across many applications. In particle physics, this inverse problem is known as unfolding…
COWs and their Hybrids: A Statistical View of Custom Orthogonal Weights
Chad Schafer, Larry Wasserman, Mikael Kuusela
A recurring challenge in high energy physics is inference of the signal component from a distribution for which observations are assumed to be a mixture of signal and background ev…
Response Matrix Estimation in Unfolding Differential Cross Sections
Huanbiao Zhu, Andrea Carlo Marini, Mikael Kuusela +1
The unfolding problem in particle physics is to make inferences about the true particle spectrum based on smeared observations from a detector. This is an ill-posed inverse problem…