Modern Plotting Machinery for the Large Hadron Collider's Monte Carlo Event Analysis Tool

The Rivet toolkit is a software package for performing data analysis on simulated particle collision events like those in the Large Hadron Collider (LHC). Rivet covers all aspects of collider physics and is the LHC's principle tool for model testing using events simulated with Monte Carlo methods. The current framework for visualizing experimental datasets can be slow and error-prone, and our proposed project will focus on designing and implementing a replacement for this visualization system based on modern rendering technologies while preserving high quality outputs. The goal of this project is to create an intuitive Python plotting package that complements and incorporates a single coherent treatment of the existing classes within the Rivet toolkit. The new visualization architecture will focus on finding a balance between power and simplicity in the user interface, enabling researchers to quickly share their results in beautiful and easily accessible formats. The ability to design interactive web-based visualizations will allow researchers to create engaging and high-quality educational resources for students and individuals interested in physics around the world.