Improved EFT Constraints from Top Quark Pair Production Using CMS Run-II Data

ORAL

Abstract

This talk presents advancements in indirect searches for Beyond Standard Model (BSM) physics in top-quark pair production at the Large Hadron Collider. Building on previous work by the CMS Collaboration (PhysRevD.100.072002), which analyzed partial Run 2 data to constrain Effective Field Theory (EFT) couplings in the dileptonic decay channel, this study extends the analysis to the full Run-II dataset (2016-2018). The analysis adopts a two-pronged approach: a maximum likelihood estimation (MLE) at detector level and an unfolded chi-square method at parton level. The MLE method is used to estimate parameters like the Wilson Coefficient CtG, which governs the top-quark–gluon interaction via a dipole operator. By incorporating systematic uncertainties as nuisance parameters and leveraging likelihood profiles, the MLE offers significant advantages in parameter precision over traditional methods. This analysis covers both dileptonic and semileptonic decay channels, including cases with boosted top quarks. With over 3 million reconstructed top quarks, the MLE framework efficiently handles higher-dimensional EFT parameter spaces, improving sensitivity to BSM physics.

*Supported by Fermilab.

Presenters

  • Lingqiang He

    • Purdue University

Authors

  • Lingqiang He

    • Purdue University
  • Andreas Jung

    • Purdue University
  • Titas Roy

    • Florida Inst of Tech
  • Giulia Negro

    • CMS
  • Andrew James Wildridge

    • CMS
  • Beren Ozek

    • University of Illinois at Chicago
  • Ricardo Jesus Escobar Franco

    • University of Illinois at Chicago
  • cecilia E gerber

    • University of Illinois at Chicago
  • Santosh Bhandari

    • University of Mississippi
  • Robert Shoefbeck

    • CMS
  • Afiq Anuar

    • CMS
  • Jason Robert R Thieman

    • CMS
  • Amandeep Singh Bakshi

    • Purdue University
  • Abraham Koshy

    • Purdue University
  • Timothy Matthew Jones

    • Purdue University
  • Ksenia De Leo

    • CMS
  • Alexander Grohsjean

    • CMS
  • Christian Schwanenberger

    • CMS
  • Andre Zimermmane

    • CMS
  • Jacob Linacre

    • Fermilab
  • David Ruiter

    • Purdue University
  • Osama Dawoodo

    • Purdue University
  • Juan M Duarte-Quiros

    • Purdue University