Precise predictions for jets and tracks

The research described in this thesis aims to increase the theoretical precision of Standard Model predictions by using Soft Collinear Effective Theory (SCET). We focus on jets, which are collimated sprays of hadrons that are often found in detectors at the LHC. They form whenever energetic quarks or gluons are produced in high-energy collisions. Jets thus contain important information about these fundamental particles and are therefore widely studied objects. We provide an automated calculation technique to calculate the contribution of jets to a measurement. Furthermore we use SCET to make a prediction for the process in which two protons collide and produce a boson and a jet. Specifically we consider the angle between a photon (or Z) and the jet. For situations where this angle almost becomes straight, i.e. when the photon and the jet are flying in the exact opposite direction, we find that SCET is particularly useful. Finally, we extend our set of tools with track functions. The data that experimentalists currently use to compare LHC experiments to theory is limited by the size of the calorimeter cells. To improve the accuracy of the data we want to use the tracking system: a layer in the detector with the principle task to reconstruct the trajectory of electrically charged particles. We focus on the theoretical implementation of measurements that include electrically charged particles only. In particular we use track functions to describe the fraction of the produced particles that will leave tracks in the detectors.