A hybrid GNN with a six-qubit circuit and a jet-multiplicity loss is claimed to improve classification of fully hadronic ttttW events over BDT and XGBoost in Monte Carlo, but the reported significance is inconsistent with the stated expected yields.
Observation of Single Top-Quark Production
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abstract
We report observation of the electroweak production of single top quarks in ppbar collisions at sqrt(s) = 1.96 TeV based on 2.3 fb^-1 of data collected by the D0 detector at the Fermilab Tevatron Collider. Using events containing an isolated electron or muon and missing transverse energy, together with jets originating from the fragmentation of b quarks, we measure a cross section of sigma(ppbar -> tb + X, tqb + X) = 3.94 +- 0.88 pb. The probability to measure a cross section at this value or higher in the absence of signal is 2.5 x 10^-7, corresponding to a 5.0 standard deviation significance for the observation.
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Search for $t\bar tt\bar tW$ Production at $\sqrt{s} = 13$ TeV Using a Modified Graph Neural Network at the LHC
A hybrid GNN with a six-qubit circuit and a jet-multiplicity loss is claimed to improve classification of fully hadronic ttttW events over BDT and XGBoost in Monte Carlo, but the reported significance is inconsistent with the stated expected yields.