Optimising top-quark threshold scan at CLIC using genetic algorithm

A bstract One of the important goals at the future e + e − colliders is to measure the top-quark mass and width in a scan of the pair production threshold. However, the shape of the pair-production cross section at the threshold depends also on other model parameters, as the top Yukawa coupling, and...

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Bibliographic Details
Published inThe journal of high energy physics Vol. 2021; no. 7; pp. 1 - 27
Main Authors Nowak, K., Żarnecki, A.F.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2021
Springer Nature B.V
SpringerOpen
Subjects
Classical and Quantum Gravitation
e +-e − Experiments
Elementary Particles
Genetic algorithms
High energy physics
Luminosity
Mathematical models
Optimization
Pair production
Parameters
Physics
Physics and Astronomy
Quantum Field Theories
Quantum Field Theory
Quantum Physics
Quarks
Regular Article - Experimental Physics
Relativity Theory
String Theory
Top physics
Uncertainty
Top physics
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Experiments
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Summary:A bstract One of the important goals at the future e + e − colliders is to measure the top-quark mass and width in a scan of the pair production threshold. However, the shape of the pair-production cross section at the threshold depends also on other model parameters, as the top Yukawa coupling, and the measurement is a subject to many systematic uncertainties. Presented in this work is the study of the top-quark mass determination from the threshold scan at CLIC. The most general approach is used with all relevant model parameters and selected systematic uncertainties included in the fit procedure. Expected constraints from other measurements are also taken into account. It is demonstrated that the top-quark mass can be extracted with precision of the order of 30 to 40 MeV, including considered systematic uncertainties, already for 100 fb − 1 of data collected at the threshold. Additional improvement is possible, if the running scenario is optimised. With the optimisation procedure based on the genetic algorithm the statistical uncertainty of the mass measurement can be reduced by about 20%. Influence of the collider luminosity spectra on the expected precision of the measurement is also studied.
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ISSN:1029-8479
1029-8479
DOI:10.1007/JHEP07(2021)070