Discovery Potential of Future Electron-Positron Colliders for a 95 GeV Scalar
Pramod Sharma, Anza-Tshilidzi Mulaudzi, Karabo Mosala, Thuso Mathaha, Mukesh Kumar, Bruce Mellado, Andreas Crivellin, Maxim Titov, Manqi Ruan, Yaquan Fang

TL;DR
This study assesses the potential of future electron-positron colliders to discover a 95 GeV scalar particle, leveraging advanced neural networks to improve detection sensitivity and explore the parameter space suggested by past anomalies.
Contribution
It introduces a feasibility analysis using deep learning techniques for discovering a 95 GeV scalar at future colliders, expanding the search strategies for new Higgs-like particles.
Findings
Deep Neural Networks significantly reduce the required luminosity for discovery.
A 95 GeV scalar can be observed with >5σ significance at 250 GeV colliders with 5 ab^{-1} luminosity.
Including additional decay channels enhances the discovery potential.
Abstract
The Large Electron Positron collider observed an indication for a new Higgs boson with a mass around \,GeV-\,GeV in the process with . The interest in this excess re-emerged with the di-photon signature at \,95\,GeV at the Large Hadron Collider. In fact, a combined global significance of is obtained once and signals are included in addition. In this article, we perform a feasibility study for discovering such a new scalar at future electron-positron colliders using the recoil-mass method applied to with and . For this, we employ a Deep Neural Network to enhance the separation between the Standard Model background and the signal, reducing the required integrated luminosity necessary for discovery by a factor of two to three. As a…
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Taxonomy
TopicsParticle Accelerators and Free-Electron Lasers · Particle Detector Development and Performance · Superconducting Materials and Applications
