Optimal use of Information for Measuring $M_t$ in Lepton+jets $t\bar{t}$ Events
Juan Estrada (Fermilab) (for the DZERO Collaboration)

TL;DR
This paper introduces a new matrix element method at DZero for measuring the top quark mass in lepton+jets events, significantly reducing statistical uncertainty compared to previous techniques.
Contribution
The paper develops a novel approach for extracting information from data by directly comparing measured variables with a full production process model, improving measurement precision.
Findings
Monte Carlo studies show a twofold reduction in statistical uncertainty.
Preliminary re-analysis results indicate a 1.6 times reduction in uncertainty.
Effective data sample size increases by a factor of 2.4.
Abstract
We present a novel approach that is being developed at DZero for extracting information from data through a direct comparison of all measured variables in an event with a matrix element that describes the entire production process. The method is exemplified in the extraction of the mass of the top quark in top-antitop events in the lepton+jets final state. Monte Carlo studies suggest that an improvement of about a factor of two in statistical uncertainty on the mass of the top quark can be achieved relative to previously published work for the same channel. Preliminary results from the re-analysis provide a reduction in the statistical uncertainty of almost a factor of 1.6, corresponding to an effective factor of 2.4 increase in the size of the data sample.
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Taxonomy
TopicsComputational Physics and Python Applications · Particle physics theoretical and experimental studies · Astrophysics and Cosmic Phenomena
