Decoding Jet Signals: How Machine Learning Is Refining Particle Physics
![The ParT algorithm demonstrates performance scalability-as assessed against EFN, PFN, and ParticleNet-with its efficacy directly linked to both jet identification efficiency [latex]\epsilon_{sig}[/latex] and jet transverse momentum [latex]p_T[/latex].](https://arxiv.org/html/2603.12306v1/x4.png)
The ATLAS experiment is leveraging cutting-edge machine learning techniques to improve the identification and classification of hadronic jets, fundamental building blocks in high-energy particle collisions.





