Speaker
Shreya Saha
(University of Adelaide)
Description
The application of machine learning techniques in particle physics has accelerated the development of methodologies for exploring physics beyond the Standard Model. This talk will present an overview of anomaly detection and its potential to enhance the detection of new physics. The talk will discuss the adaptation and real-time deployment of anomaly detection algorithms. Additionally, a novel analysis strategy will be outlined for detecting non-resonant anomalies in a model-agnostic manner, utilizing autoencoders, which are based on deep neural networks.
AI keywords | Anomaly detection, auto encoders, neural networks, FPGAs |
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Primary author
Shreya Saha
(University of Adelaide)