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Harnessing energy correlators for a precise top quark mass

Harnessing energy correlators for a precise top quark mass

Robert Schöfbeck (ORCID: 0000-0002-2332-8784)
  • Grant DOI 10.55776/PAT2312224
  • Funding program Principal Investigator Projects
  • Status ongoing
  • Start June 1, 2025
  • End October 31, 2029
  • Funding amount € 411,823
  • Project website

Disciplines

Physics, Astronomy (100%)

Keywords

    CMS Experiment, Energy correlators, Top quark, Top quark mass, LHC

Abstract

Energy correlators are transforming how we measure the top quark mass at the LHC. This project aims to achieve the most precise measurement yet using innovative techniques that reduce uncertainties and improve accuracy. Traditional methods struggle with challenges from the complex environment inside particle collisions. Existing approaches rely on models with built-in assumptions that introduce uncertainties. This project takes a different path by using energy correlators, which track energy flow inside high-energy jets. These allow scientists to measure the top quark mass more reliably and reduce dependence on uncertain models. A key breakthrough is the use of advanced machine learning techniques to analyze energy correlator distributions. Instead of grouping information into predefined bins, this project unfolds the full details of each collision, leading to greater accuracy. The most advanced approaches simultaneously unfold all particles in an event, offering unmatched precision. Using high-statistics CMS data from LHC Run II and III, totaling over 400 fb, this measurement will minimize reliance on assumptions and instead use cutting-edge theoretical predictions. Experimental uncertainties, such as how well detectors measure energy, will be carefully controlled. Theoretical uncertainties will be reduced with improved calculations. This project will provide the most precise measurement of the top quark mass to date, offering insights that could reshape our understanding of particle physics. Beyond the top quark, energy correlators can help explore the strong force, study the inner structure of jets, and search for new physics. By combining advanced analysis techniques, powerful machine learning, and deep theoretical insights, this project represents a major step forward in exploring the universe at its smallest scales.

Research institution(s)
  • Österreichische Akademie der Wissenschaften - 100%
International project participants
  • Aditya Pathak, DESY Zeuthen - Germany

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