Reconstructing Toponium using Recursive Jigsaw Reconstruction
Aman Desai, Amelia Lovison, Paul Jackson
TL;DR
This work addresses the search for a spin-0 toponium state near the $t\bar{t}$ threshold in dileptonic decays at the LHC, where two escaping neutrinos complicate reconstruction. It deploys Recursive Jigsaw Reconstruction within the RestFrames framework to reconstruct the $t\bar{t}$ system, and introduces two discriminants, $\Delta\phi(t\bar{t})$ and $N_{c,\mathrm{hel}}$, to separate signal from the $t\bar{t}$ background. Using Run 3 kinematics at $\sqrt{s}=13.6$ TeV with NRQCD-reweighted toponium samples, the analysis shows that the optimal phase-space region—$\Delta\phi(t\bar{t})\in[-2,2]$ and $N_{c,\mathrm{hel}}\in[0.4,1]$—produces a reconstructed $M_{t\bar{t}}$ with a significance of $15.3\sigma$. The results demonstrate improved sensitivity to the toponium signal and offer a path toward deeper phenomenological understanding of the $t\bar{t}$ threshold region.
Abstract
The results from the ATLAS and CMS experiment at the Large Hadron Collider indicate the existence of a top-quark pair bound state near the $\ttbar$ threshold region. We present a method relying on Recursive Jigsaw Reconstruction to reconstruct the toponium bound state at the $\ttbar$ threshold region. We propose incorporating two variables in the analysis that can improve sensitivity to the toponium signal. Our results indicate that this method may be useful to gain additional insights into the physics phenomenology of the $\ttbar$ threshold region.
