Presentation of the new vesrion of SUSPECT3 (v3.1.1) described in "SuSpect3: A C++ Code for the Supersymmetric and Higgs Particle Spectrum of the MSSM"
I will present recent developments in SModelS, in particular the update of the database with the latest available experimental results for full Run-2 luminosity, the interface to the new statistical package Spey, and the statistical combination of analyses. The latter allows one to increase the robustness of the statistically inferred constraints. To demonstrate the physics impact, I will use...
The ability to reuse published experimental results -- for instance reinterpretations in the context of alternative models, or combinations of multiple results -- is crucial to searches for new phenomena in high energy physics. The information that is made public, typically best-fit values, uncertainties and covariance matrices, is often insufficient to fully carry out this program, in...
Full statistical models encapsulate the complete information of an experimental result, including the likelihood function given observed data. Their proper publication is of vital importance for a long lasting legacy of the LHC. Major steps have been taken towards this goal; a notable example being ATLAS release of statistical models with the pyhf framework. However, even the likelihoods are...
I discussed some issues that arise when using Machine Learning as an inference tool in the particular context of the determination of parton distributions. Problems I address include: how do we know that the ML model generalizes correctly? Can we detect overlearning? Can we assign an uncertainty to the ML model predictions, and can we validate this assignment?
