If physicists want to discover new physics beyond our Standard Model, we must first understand what the Standard Model predicts. For experiments like the Large Hadron Collider at CERN, this means calculating scattering amplitudes, formulas that let us find the probability that two colliding particles will bounce, or “scatter”, off each other in particular ways.
Current methods to calculate scattering amplitudes are very computationally intensive, but a much more efficient option exists: we can “bootstrap” the amplitudes, starting with a guess in terms of the right kind of mathematical functions then constraining it using what we know about the physics of the problem. This method can be extremely effective, but it does rely on some initial knowledge: both of the right functions, and of the relevant physics.
The objective of this project was to broaden the reach of bootstrap methods, both by investigating new types of mathematical function and by using the bootstrap in new physical contexts. In the course of the project I discovered a new class of functions appearing in scattering amplitudes, related to geometric spaces called Calabi-Yau manifolds, and characterized their properties. I also made progress building knowledge of the physics of new contexts to serve as a foundation for future bootstrap methods.