Hadronic jets are essential components of analysis at the LHC. Not only their Energy and mass needs to be precisely measured, their internal structure is also essential in order to distinguish signal jets from the common QCD initiated background jets. However jet constituents representing the energy flow insside jets do not have 1-to-1 correspondence with hadrons generated in simulations. In order to calibrate these constituents we consider them as nodes in a graph build from the jets they belong. We apply GNN techniques to derive a calibration for each of the nodes (constituents) using graph (jets) level constraints. The presentation will details the methods, difficulties and status of this on-going work.
These details can include the GNN architecture, custom workflow (based on uproot, awkward, tensorflow/keras) and optimization approaches.
Ana Paula Pereira Peixoto (Laboratoire de Physique Subatomique et de Cosmologie de Grenoble (LPSC/CNRS))