Corvino, A. (2025) Anomaly Detection approach for the search of new resonances with fully hadronic final state. Il nuovo cimento C, 48 (3). pp. 1-6. ISSN 1826-9885
|
Text
ncc13249.pdf - Published Version Download (300kB) | Preview |
Abstract
In recent years, the exploration of Beyond Standard Model phenomenology has become more and more important. One approach to handle this new hard challenge is to look at the data with minimum assumptions on the model, using Anomaly Detection (AD) techniques. Here, a novel application of AD is used to define a general signal region, where events are selected solely because of their in compatibility with a learned background-only model. Further, as an example of the possible approach of AD an application on a benchmark dataset of the unsupervised learning approach using Graph Neural Networks is presented.
| Item Type: | Article |
|---|---|
| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 10 Jul 2025 14:23 |
| Last Modified: | 10 Jul 2025 14:23 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23634 |
Actions (login required)
 |
View Item |
