ILC Workshop on Potential Experiments (ILCX2021)

High-dimensional Anomaly Detection with Radiative Return in e+e- Collisions

28 Oct 2021, 19:00

20m

Room #4 (Zoom Meeting ID: 840 3553 0145)

Oral presentation using Zoom Session H: BSM particle production H-3: BSM particle production

Speaker

Julia Lynne Gonski (Columbia University (US))

Description

Experiments at a future 𝑒+𝑒− collider will be able to search for new particles with masses below the nominal centre-of-mass energy by analyzing collisions with initial-state radiation (radiative return). We show that machine learning methods based on semisupervised and weakly supervised learning can achieve model-independent sensitivity to the production of new particles in radiative return events. In addition to a first application of these methods in 𝑒+𝑒− collisions, our study is the first to combine weak supervision with high-dimensional information by deploying a deep sets neural network architecture. We have also investigated some of the experimental aspects of anomaly detection in radiative return events and discuss these in the context of future detector design.

Presentation materials

1028_jgonski_ilcx_eeanomdet.pdf