IRIS-HEP Fellow: Sukanya Krishna



Fellowship dates: Jun – Sep, 2021

Home Institution: University of California, San Diego


Project: Particle Graph Autoencoders for Real-Time Jet Anomaly Detection

Graph neural network (GNN) based autoencoders can beeffective mechanisms for reconstructing particle jets and isolating anomalous signals from background data. The goal of this project is to investigate different types of graph-based autoencoders as well as randomized neural network architectures, including variational autoencoders or normalizing flows. These architectures will then be used to analyze new data sets like the public DarkMachines data set, or more complex CMS simulation to search for new physics.

More information: My project proposal

Mentors:

  • Javier Duarte (University of California, San Diego)

Presentations and Publications
Current Status
October 2022 - Envision: Art and Engineering Maker Space Volunteer at UC San Diego Jacobs School of Engineering

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