Applying Self-organizing Maps to the Inverse Problem
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866908934844973056 |
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| author | Tikhe, Vaidehi Kirutheeka, N. Dube, Sourabh |
| author_facet | Tikhe, Vaidehi Kirutheeka, N. Dube, Sourabh |
| contents | In the inverse problem in particle physics, given an unexpected observation, one aims to identify a unique choice from amongst several competing hypotheses. We explore a novel approach of applying self-organizing maps to the inverse problem in a search for vector-like leptons in a trilepton final state. We define an approach combining the inherent clustering of these maps and elements of supervised learning. We compare the performance of this approach with a multiclassfying neural network. We find that the method using self-organizing maps competes well (despite not using any standard model processes in the training), and provides additional tools that would help characterize any observed excesses in searches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_02958 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Applying Self-organizing Maps to the Inverse Problem Tikhe, Vaidehi Kirutheeka, N. Dube, Sourabh High Energy Physics - Phenomenology High Energy Physics - Experiment In the inverse problem in particle physics, given an unexpected observation, one aims to identify a unique choice from amongst several competing hypotheses. We explore a novel approach of applying self-organizing maps to the inverse problem in a search for vector-like leptons in a trilepton final state. We define an approach combining the inherent clustering of these maps and elements of supervised learning. We compare the performance of this approach with a multiclassfying neural network. We find that the method using self-organizing maps competes well (despite not using any standard model processes in the training), and provides additional tools that would help characterize any observed excesses in searches. |
| title | Applying Self-organizing Maps to the Inverse Problem |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2604.02958 |