4–6 May 2020
University of Pittsburgh
US/Eastern timezone

Delaunay Tessellations for Bayesian Wombling on LHC Data

4 May 2020, 17:30
15m
Parallel Talk Tools & Software Tools

Speaker

Alex Roman (University of Florida)

Description

The relevant information from LHC collision events can be represented as spatial point data in a suitable phase space. The observation of sharp discontinuities in the observed event number density would hint at the presence of new physics beyond the Standard Model. We apply and further improve upon some known wombling techniques from other fields. In the process we refine some of the known methods of calculating gradients from point data.

Summary

Data analysis technique for discovering BSM signals.

Primary authors

Alex Roman (University of Florida) Konstantin Matchev (University of Florida (US)) Prasanth Shyamsundar (University of Florida)

Presentation materials