The LHC collides bunches (groups of protons), which can result in multiple proton-proton collisions at each crossing. Such additional collisions are called pile-up.
Proton collisions at the LHC generate high-energy events, initiating a cascade of processes, such as parton showering and hadronisation, which ultimately produce the particles seen in the ATLAS detector.
The lifetime (or equivalently, the width) and the different ways elementary particles can decay are fundamental properties crucial for physicists exploring the boundaries of known physics.
Monte Carlo (MC) methods help ATLAS physicists simulate data by generating theoretical collisions based on both known and theorised physics. We use the simulated data to help us understand the detector’s behaviour, optimise algorithms, and identify new physics.
Time and space coordinates vary depending on the frame of reference in which a collision event is measured. 4-vectors are tools that can simplify the transformations between frames of reference.
When physicists make statements about whether or not a given process has been observed in the LHC data, they must back up their claim with strong statistical evidence. This is often expressed in terms of standard deviations or the p-value.
This sheet defines cross section and luminosity, presents examples of LHC cross sections, and introduces the method used to determine number of events.
A powerful tool to visually represent particle interactions, as well as to conduct elaborate calculations! Learn the basics on how to read Feynman diagrams.