The paper predicts a scalar cc-ccbar tetraquark state (X(6400)) and identifies it as the partner to the recently observed tensor state X(6600).
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TQ4Q2.0 supplies the first complete, uncertainty-quantified set of NRQCD-based fragmentation functions for all-heavy tetraquarks, including nonconstituent channels and public grids for jet-associated production.
Neural-network quantum states are used to compute spectra of fully-heavy multiquarks in a non-relativistic quark model, claiming to overcome dimensionality issues with superior accuracy over prior approximations.
A combined fit to LHCb, ATLAS, and CMS di-J/ψ data finds >12σ evidence for X(6900) and 3.7–6.6σ evidence for X(7200), with interference effects playing a critical role.
citing papers explorer
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Predictions for the scalar partner of the LHC tetraquark $X(6600)$
The paper predicts a scalar cc-ccbar tetraquark state (X(6400)) and identifies it as the partner to the recently observed tensor state X(6600).
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All-charm tetraquarks at hadron colliders: A high-precision fragmentation perspective
TQ4Q2.0 supplies the first complete, uncertainty-quantified set of NRQCD-based fragmentation functions for all-heavy tetraquarks, including nonconstituent channels and public grids for jet-associated production.
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Fully-heavy multiquarks in neural-network quantum states
Neural-network quantum states are used to compute spectra of fully-heavy multiquarks in a non-relativistic quark model, claiming to overcome dimensionality issues with superior accuracy over prior approximations.
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Enhanced evidence of $X(7200)$ and improved measurements of $X(6900)$ parameters from a combined LHCb-ATLAS-CMS analysis
A combined fit to LHCb, ATLAS, and CMS di-J/ψ data finds >12σ evidence for X(6900) and 3.7–6.6σ evidence for X(7200), with interference effects playing a critical role.