TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCore.7.4.073
TI  - Trials factor for semi-supervised NN classifiers in searches for narrow resonances at the LHC
PY  - 2024/11/13
UR  - https://scipost.org/SciPostPhysCore.7.4.073
JF  - SciPost Physics Core
JA  - SciPost Phys. Core
VL  - 7
IS  - 4
SP  - 073
A1  - Lieberman, Benjamin
AU  - Dahbi, Salah-Eddine
AU  - Crivellin, Andreas
AU  - Stevenson, Finn
AU  - Tripathi, Nidhi
AU  - Kumar, Mukesh
AU  - Mellado, Bruce
AB  - To mitigate the model dependencies of searches for new narrow resonances at the Large Hadron Collider (LHC), semi-supervised Neural Networks (NNs) can be used. Unlike fully supervised classifiers these models introduce an additional look-elsewhere effect in the process of optimising thresholds on the response distribution. We perform a frequentist study to quantify this effect, in the form of a trials factor. As an example, we consider simulated $Z\gamma$ data to perform narrow resonance searches using semi-supervised NN classifiers. The results from this analysis provide substantiation that the look-elsewhere effect induced by the semi-supervised NN is under control.
ER  -

@Article{10.21468/SciPostPhysCore.7.4.073,
	title={{Trials factor for semi-supervised NN classifiers in searches for narrow resonances at the LHC}},
	author={Benjamin Lieberman and Salah-Eddine Dahbi and Andreas Crivellin and Finn Stevenson and Nidhi Tripathi and Mukesh Kumar and Bruce Mellado},
	journal={SciPost Phys. Core},
	volume={7},
	pages={073},
	year={2024},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCore.7.4.073},
	url={https://scipost.org/10.21468/SciPostPhysCore.7.4.073},
}