Physics

Language models can improve physics measurement by improving tau reconstruction.

Jet components are given as input to ML models to predict the characteristics of Taurepton attenuated in Hadronic. Credit: Author: Laurits Tani, Nalong-Norman Seeba, Hardi Vanaveski, Joosep Pata, Torben Lange

In order to find rare processes from the Corider data, scientists use a computer algorithm to determine the type and characteristics of the particles based on the faint signals left in the detector. One of these particles is taurepton, for example, the collapse of Higsboson.

Taurepton leaves a low -energy particles spray or jet. The subtle pattern of the jet can be distinguished from the jet generated by other particles. The jet also contains information about the energy of Tau Lepton, which is distributed on her daughter’s particles, and is corrupt on the way. Currently, the best algorithm uses multiple steps in combination and computer vision.

Chatgpt has a much more powerful performance in refusing background than computer vision -based methods. In this paper, researchers have shown that such language -based models can find Taurepton from jet patterns and determine the characteristics of energy and collapse more accurately than before.

This can be performed by treating the particle jet as a sentence, each word corresponds to particles, and by using a transformer algorithm to find the relationship between particles. Such an approach is promising because the future analysis involving taurepton, such as searching for the production of double Higgs, can significantly improve the ratio of signals vs. background.

This work is published in Journal Computer Physics Communications.

Details: Unified machine learning approach to reconstruct Laurits Tani et al, Hadronivital Decrying Tau Leptons, Computer Physics Communications (2024). Doi: 10.1016/J.CPC.2024.109399

Provided by the Estonia Research Council

Quote: Language models are https: //phys/2025-02-02-02-02-02-PHYSICS- Physics-physics-tau-reconstraction.html, so I can improve the measurement (February 3, 2025)

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