Speaker
Mr
Vishal Singh Ngairangbam
(Physical Research Laboratory)
Description
We devise an autoencoder based strategy to facilitate anomaly detection for boosted jets, employ-
ing Graph Neural Networks (GNNs) to do so. To overcome known limitations of GNN autoencoders,
we design a symmetric decoder capable of simultaneously reconstructing edge features and node fea-
tures. Focusing on latent space based discriminators, we find that such setups provide a promising
avenue to isolate new physics and competing SM signatures from sensitivity-limiting QCD jet con-
tributions. We demonstrate the flexibility and broad applicability of this approach using examples
of W bosons, top quarks, and exotic hadronically-decaying exotic scalar boson
Affiliation | Physical Research Laboratory, Ahmedabad |
---|---|
Academic Rank | PhD student |
Primary authors
Akanksha Bhardwaj
(University of Glasgow)
Christoph Englert
(University of Glasgow)
Michael Spannowsky
(University of Durham (GB))
Oliver Atkinson
(University of Glasgow)
Mr
Vishal Singh Ngairangbam
(Physical Research Laboratory)