PoS - Proceedings of Science
Volume 380 - Particles and Nuclei International Conference 2021 (PANIC2021) - Standard model physics at the TeV scale
Tagging large-radius $b$-jets from Higgs decays dropping unneeded information
A. Di Luca*, D. Mascione, F.M. Follega, M. Cristoforetti and R. Iuppa
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Pre-published on: March 02, 2022
Published on: May 24, 2022
Multivariate approaches used in physics analyses by the High Energy Physics community often combine high-level observables estimated by very complex algorithms. The process to select these variables is usually based on a ``brute force'' approach, where all available event features are tested for multiple combinations of the algorithm hyperparameters.

In this work, we propose an original method based on the use of a CancelOut layer to select to give as input to a Fully Connected Neural Network. Promising results are obtained in the development of a DNN classifier to select proton-proton collisions where a boosted Higgs boson decay to two $b$-quarks.
DOI: https://doi.org/10.22323/1.380.0399
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