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Speaker: Aishik Ghosh (UCI), Title: Overcoming challenges of quantum interference in Higgs physics with high-dimensional statistics
February 20 @ 4:00 pm - 5:00 pm
Abstract: Quantum interference between signal and background Feynman diagrams produce non-linear effects that challenge core assumptions going into the statistical analysis methodology in particle physics. I show that for such cases, no single observable can capture all the relevant information needed to perform optimal inference of theory parameters from data collected in our experiments. The optimal data analysis strategy is to perform statistical inference directly on high-dimensional data, without relying on summary histograms. Neural Simulation-Based Inference (NSBI) is a class of techniques that naturally handle high dimensional data, avoiding the need to design low-dimensional summary histograms. We design a general purpose statistical framework in the ATLAS experiment that enables the application of NSBI to full-scale physics analyses, leading to a second publication of the Higgs width measurement on Run2 data, significantly outperforming the previous measurement punished by the experiment on the same data.
Tea and cookies will be served from 3:45 – 4:00 pm in the Sessler conference room.
If you’d like to meet with the speaker, please send your request to Liz Worthy.
Join Zoom Meeting https://lbnl.zoom.us/j/98854322464?pwd=K2tKUm1VZjRlV1J5RHE3cXdHQzRxdz09
Meeting ID: 988 5432 2464
Passcode: 142239