Malin Elisabeth Horstmann
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View article: Constructing model-agnostic likelihoods, a method for the reinterpretation of particle physics results
Constructing model-agnostic likelihoods, a method for the reinterpretation of particle physics results Open
Experimental High Energy Physics has entered an era of precision measurements. However, measurements of many of the accessible processes assume that the final states’ underlying kinematic distribution is the same as the Standard Model pred…
View article: Bayesian Methodologies with pyhf
Bayesian Methodologies with pyhf Open
bayesian_pyhf is a Python package that allows for the parallel Bayesian and frequentist evaluation of multi-channel binned statistical models. The Python library pyhf is used to build such models according to the HistFactory framework and …
View article: Bayesian Methodologies with pyhf
Bayesian Methodologies with pyhf Open
bayesian_pyhf is a Python package that allows for the parallel Bayesian and frequentist evaluation of multi-channel binned statistical models. The Python library pyhf is used to build such models according to the HistFactory framework and …
View article: Study of worm-gear-T function $g_{1T}$ with semi-inclusive DIS data
Study of worm-gear-T function $g_{1T}$ with semi-inclusive DIS data Open
The worm-gear-T function parameterizes the probability to find a longitudinally polarized quark inside a transversely polarized hadron. We extract it from data on polarized semi-inclusive deep-inelastic scattering (SIDIS) measured at COMPA…