Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring
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arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866912752220504064 |
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| author | Čepaitis, Vilius |
| author_facet | Čepaitis, Vilius |
| contents | The ATLAS experiment at the LHC employs comprehensive data quality monitoring procedures to ensure high-quality physics data. This contribution presents a long short-term memory autoencoder-based algorithm for detecting anomalies in ATLAS Liquid Argon calorimeter data, represented as multidimensional time series of statistical moments of energy cluster properties. Trained on good-quality data, the model identifies anomalous intervals. Validation is performed using a known short-term issue of noise bursts, and the potential for broader application to transient calorimeter issues is discussed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_05977 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring Čepaitis, Vilius Instrumentation and Detectors High Energy Physics - Experiment The ATLAS experiment at the LHC employs comprehensive data quality monitoring procedures to ensure high-quality physics data. This contribution presents a long short-term memory autoencoder-based algorithm for detecting anomalies in ATLAS Liquid Argon calorimeter data, represented as multidimensional time series of statistical moments of energy cluster properties. Trained on good-quality data, the model identifies anomalous intervals. Validation is performed using a known short-term issue of noise bursts, and the potential for broader application to transient calorimeter issues is discussed. |
| title | Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring |
| topic | Instrumentation and Detectors High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2512.05977 |