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Author  |
ATLAS Collaboration (Aad, G. et al); Aikot, A.; Amos, K.R.; Bouchhar, N.; Cabrera Urban, S.; Cantero, J.; Castillo Gimenez, V.; Chitishvili, M.; Costa, M.J.; Curcio, F.; Didenko, M.; Escobar, C.; Fiorini, L.; Fuster, J.; Garcia, C.; Garcia Navarro, J.E.; Gomez Delegido, A.J.; Gonzalez de la Hoz, S.; Hofer, J.; Lacasta, C.; Lanzac Berrocal, M.; Marti-Garcia, S.; Martinez Agullo, P.; Melini, D.; Mitsou, V.A.; Monsonis Romero, L.; Moreno Llacer, M.; Munoz Perez, D.; Navarro-Gonzalez, J.; Poveda, J.; Rubio Jimenez, A.; Ruiz-Martinez, A.; Saibel, A.; Salt, J.; Sanchez Sebastian, V.; Senthilkumar, V.; Soldevila, U.; Sanchez, J.; Torro Pastor, E.; Valero, A.; Valiente Moreno, E.; Valls Ferrer, J.A.; Varriale, L.; Villaplana Perez, M.; Vos, M.; Zakareishvili, T. |
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Title |
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network |
Type |
Journal Article |
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Year |
2025 |
Publication |
Scipost Physics |
Abbreviated Journal |
SciPost Phys. |
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Volume |
19 |
Issue |
6 |
Pages |
155 - 75pp |
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Abstract |
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of topologically connected cells (topo-clusters). The Bayesian neural network (BNN) approach not only yields a continuous and smooth calibration function that improves performance relative to the standard calibration but also provides uncertainties on the calibrated energies for each topo-cluster. The results obtained by using a trained BNN are compared to the standard local hadronic calibration and to a calibration provided by training a deep neural network. The uncertainties predicted by the BNN are interpreted in the context of a fractional contribution to the systematic uncertainties of the trained calibration. They are also compared to uncertainty predictions obtained from an alternative estimator employing repulsive ensembles. |
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Address |
[Fewell, M. P.; Gallagher, J.; Grant, C. M.; Green, M. J.; Jackson, P.; Kong, A. X. Y.; Pandya, H. D.; Ruggeri, T. A.; Saha, S.; Ting, E. X. L.; White, M. J.] Univ Adelaide, Dept Phys, Adelaide, SA, Australia |
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Publisher |
Scipost Foundation |
Place of Publication |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2542-4653 |
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Conference |
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Notes |
WOS:001671556000001 |
Approved |
no |
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Is ISI |
yes |
International Collaboration |
yes |
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Call Number |
IFIC @ pastor @ |
Serial |
7095 |
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