We combine inclusive jet nuclear modification factors with energy-energy correlators to perform a data-driven extraction of the quark and gluon quenching factors and the medium resolution scale from the small-angle region. Taking coherent energy loss as a null hypothesis, we find jet quenching factors incompatible with...
H. Bossi, Maxence Larose, Y. Mehtar-Tani· 1 citation
We present an agentic measurement of the thrust distribution in \(e^+e^-\) collisions at \(\sqrt{s}=91.2\) GeV using ALEPH archived data. This work was carried out through an AI agent–physicist collaboration, using interactive natural-language prompting of Anthropic Claude and OpenAI Codex. Under physicist guidance, th...
A. Badea, M. Maggi, C. Mcginn et al.· Highlights in High-Energy Ph...· 0 citations
The relationship between physics and artificial intelligence (AI) is dynamic and interconnected. As physics informs AI development, AI, in turn, now serves as a critical tool across various branches of physics. From the quantum world to the macroscopic behaviours of the universe, physicists have developed theories...
J. Harris, H. Bossi· The Innovation Platform· 0 citations
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