Prepup.md

Introduction -

Large Hadron Collider (LHC) located at CERN headquarters is a large machine that splits particles into smaller and smaller components to identify elementary particles from which all matter and energy is derived. It propels sub-atomic particles called hadrons at high speed. This particle accelarator is also called as "Atom Smasher" in layman terms.

For more details, refer the video on Large Hadron Collider Simulation.

Notes:

1. The present algorithms are inherently serial, rely on linear dynamics models and scale poorly with detector occupany¹ Questions:

• What is the meaning of relying on linear dynamic models?
• What is the meaning of scaling poorly with detector occupancy?

2. Why neural networks? Ans - Neural networks are known to be very good at finding patterns and modelling non linear dependencies in data¹

In point based models we use continuously distributed spacepoint measurements and structure them in a list or a tree for learning how to group them as track candidates¹

References:

1. Particle track reconstruction with deep learning. Steven Farrell et al.