Pith. sign in

REVIEW 1 cited by

Distinguishing Color-Octet and Color-Singlet Resonances at the Large Hadron Collider

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1306.4715 v1 pith:DVTCNRBQ submitted 2013-06-19 hep-ph

classification hep-ph
keywords color-octetcolor-singletflavorresonancesmassresonancescenarioscouplings
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

Di-jet resonance searches are simple, yet powerful and model-independent, probes for discovering new particles at hadron colliders. Once such a resonance has been discovered it is important to determine the mass, spin, couplings, chiral behavior and color properties to determine the underlying theoretical structure. We propose a new variable which, in the absence of decays of the resonance into new non-standard states, distinguishes between color-octet and color-singlet resonances. To keep our study widely applicable we study phenomenological models of color-octet and color-singlet resonances in flavor universal as well as flavor non-universal scenarios. We present our analysis for a wide range of mass (2.5 - 6 TeV), couplings and flavor scenarios for the LHC with center of mass energy of 14 TeV and varying integrated luminosities of 30, 100, 300 and 1000 ${\rm fb}^{-1}$. We find encouraging results to distinguish color-octet and color-singlet resonances for different flavor scenarios at the LHC.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Hunting and identifying coloured resonances in four top events with machine learning

    hep-ph 2025-06 conditional novelty 5.0 of 10

    A neural network analysis of four-top events projects discovery of colour octet and sextet scalars up to about 1.8 to 1.9 TeV at the HL-LHC and can distinguish their colour representations.

Pith tools