Cargando…
Autoencoders for anomaly detection at LHCb
In the following work, a Machine Learning tool that differentiates typical Standard Model events from Beyond Standard Model was developed. The algorithm, called Autoencoder, was able to successfully separate a specific low mass model of dark shower topology (soft bomb events) from Standard Model, sh...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2833850 |
_version_ | 1780975540005502976 |
---|---|
author | Radziunas Salinas, Yago |
author_facet | Radziunas Salinas, Yago |
author_sort | Radziunas Salinas, Yago |
collection | CERN |
description | In the following work, a Machine Learning tool that differentiates typical Standard Model events from Beyond Standard Model was developed. The algorithm, called Autoencoder, was able to successfully separate a specific low mass model of dark shower topology (soft bomb events) from Standard Model, showing its potentiality to be implemented in the LHCb trigger so as to be able to find new high energy physics scenarios. |
id | cern-2833850 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2022 |
record_format | invenio |
spelling | cern-28338502022-09-21T18:17:25Zhttp://cds.cern.ch/record/2833850engRadziunas Salinas, YagoAutoencoders for anomaly detection at LHCbParticle Physics - ExperimentIn the following work, a Machine Learning tool that differentiates typical Standard Model events from Beyond Standard Model was developed. The algorithm, called Autoencoder, was able to successfully separate a specific low mass model of dark shower topology (soft bomb events) from Standard Model, showing its potentiality to be implemented in the LHCb trigger so as to be able to find new high energy physics scenarios.CERN-STUDENTS-Note-2022-163oai:cds.cern.ch:28338502022-09-20 |
spellingShingle | Particle Physics - Experiment Radziunas Salinas, Yago Autoencoders for anomaly detection at LHCb |
title | Autoencoders for anomaly detection at LHCb |
title_full | Autoencoders for anomaly detection at LHCb |
title_fullStr | Autoencoders for anomaly detection at LHCb |
title_full_unstemmed | Autoencoders for anomaly detection at LHCb |
title_short | Autoencoders for anomaly detection at LHCb |
title_sort | autoencoders for anomaly detection at lhcb |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2833850 |
work_keys_str_mv | AT radziunassalinasyago autoencodersforanomalydetectionatlhcb |