The Color Discriminant Variable and Scalar Diquarks at the LHC
R. Sekhar Chivukula, Pawin Ittisamai, Kirtimaan Mohan, and Elizabeth, H. Simmons

TL;DR
This paper refines a model-independent method using the color discriminant variable to identify scalar diquark resonances at the LHC, enhancing the ability to distinguish them from other potential particles in collider data.
Contribution
The paper extends and clarifies the color discriminant variable approach, applying it to scalar diquarks and providing a more transparent theoretical formulation.
Findings
The method effectively distinguishes scalar diquarks from other resonances.
The new formulation relates the variable to resonance branching ratios and parton properties.
Application to LHC data can improve resonance identification accuracy.
Abstract
The LHC is actively searching for narrow dijet resonances corresponding to physics beyond the Standard Model. Among the many resonances that have been postulated (e.g., colored vectors, scalars, and fermions) one that would have a particularly large production rate at the LHC would be a scalar diquark produced in the s-channel via fusion of two valence quarks. In previous work, we introduced a color discriminant variable that distinguishes among various dijet resonances, drawing on measurements of the dijet resonance mass, total decay width and production cross-section. Here, we show that this model-independent method applies well to color-triplet and color-sextet scalar diquarks, distinguishing them clearly from other candidate resonances. We also introduce a more transparent theoretical formulation of the color discriminant variable that highlights its relationship to the branching…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
