Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/132956
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Type: | Journal article |
Title: | Combining outlier analysis algorithms to identify new physics at the LHC |
Author: | van Beekveld, M. Caron, S. Hendriks, L. Jackson, P. Leinweber, A. Otten, S. Patrick, R. de Austri, R.R. Santoni, M. White, M. |
Citation: | The Journal of High Energy Physics, 2021; 2021(9):1-33 |
Publisher: | Springer Science and Business Media |
Issue Date: | 2021 |
ISSN: | 1029-8479 1029-8479 |
Statement of Responsibility: | Melissa van Beekveld, Sascha Caron, Luc Hendriks, Paul Jackson, Adam Leinweber, Sydney Otten ... et al. |
Abstract: | The lack of evidence for new physics at the Large Hadron Collider so far has prompted the development of model-independent search techniques. In this study, we compare the anomaly scores of a variety of anomaly detection techniques: an isolation forest, a Gaussian mixture model, a static autoencoder, and a β-variational autoencoder (VAE), where we define the reconstruction loss of the latter as a weighted combination of regression and classification terms. We apply these algorithms to the 4-vectors of simulated LHC data, but also investigate the performance when the non-VAE algorithms are applied to the latent space variables created by the VAE. In addition, we assess the performance when the anomaly scores of these algorithms are combined in various ways. Using super- symmetric benchmark points, we find that the logical AND combination of the anomaly scores yielded from algorithms trained in the latent space of the VAE is the most effective discriminator of all methods tested. |
Rights: | Open Access, © The Authors. Article funded by SCOAP3. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are credited. |
DOI: | 10.1007/JHEP09(2021)024 |
Grant ID: | http://purl.org/au-research/grants/arc/DP180102209 |
Published version: | http://dx.doi.org/10.1007/jhep09(2021)024 |
Appears in Collections: | Physics publications |
Files in This Item:
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hdl_132956.pdf | Published version | 2.88 MB | Adobe PDF | View/Open |
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