Hadron colliders probe physics at new energy frontiers and search for new particles and forces. In addition, hadron colliders now provide also an environment for precision physics. The present volume collects the results from recently completed runs at major colliders as well as new ideas about collider physics and techniques. It will serve as the main source of reference in the field for many years to come.

The knowledge of the interactions of photons with hadrons has considerably improved with the study of high-energy lepton-proton collisions at HERA. The results on the partonic interactions of photons are summarized in comparison with photon-nucleon, two-photon, and proton-antiproton experiments.

Hadron colliders probe physics at new energy frontiers and search for new particles and forces. In addition, hadron colliders now provide also an environment for precision physics. The present volume collects the results from recently completed runs at major colliders as well as new ideas about collider physics and techniques. It will serve as the main source of reference in the field for many years to come.

A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.