The original article was published in Jan. 2023 (JHEP 01 (2023) 111), which the value of a ωππ µ = (2.213 ± 0.106 ± 0.149) × 10 −10 is not correct. It should be a ωππ µ = (0.135 ± 0.007 ± 0.009) × 10 −10 . The other parts of the paper are correct other than the a ωππ µ value to be modified. The corresponding preprint is arXiv:2208.04507v3.
A search for the hadronic decays of the h c meson to the final states ppπ + π − π 0 , ppη, and ppπ 0 via the process ψ(3686) → π 0 h c is performed using (4.48 ± 0.03) × 10 8 ψ(3686) events collected with the BESIII detector. The decay channel h c → ppη is observed for the first time with a significance greater than 5σ and a branching fraction of (6.41 ± 1.74 ± 0.53 ± 1.00) × 10 −4 , where the uncertainties are statistical, systematic, and that from the branching fraction of ψ(3686) → π 0 h c . Strong evidence for the decay h c → ppπ + π − π 0 is found with a significance of 4.9σ and a branching fraction of (3.84 ± 0.83 ± 0.69 ± 0.58) × 10 −3 . The significances include systematic uncertainties. No clear signal of the decay h c → ppπ 0 is found, and an upper limit of 6.59 × 10 −4 on its branching fraction is set at the 90% confidence level.
The neutrino closure method is often used to obtain kinematics of semileptonic decays with one unreconstructed particle in hadron collider experiments. The kinematics of decays can be deducted by a twofold ambiguity with a quadratic equation. To resolve the twofold ambiguity, a novel method based on machine learning (ML) is proposed. We study the effect of different sets of features and regressors on the improvement of reconstructed invariant mass squared of
ℓ
ν
system (
q
2
). The result shows that the best performance is obtained by using the flight vector as the features and the multilayer perceptron (MLP) model as the regressor. Compared with the random choice, the MLP model improves the resolution of reconstructed
q
2
by ~40%. Furthermore, the possibility of using this method on various semileptonic decays is shown.
SnO2/TiO2 (Sn/Ti [Formula: see text]/1) nanotubes were prepared by the electrospinning method. The morphology was characterized by scanning electron microscope (SEM) and transmission electron microscope (TEM). The results showed that the inner diameter of prepared materials was about 100[Formula: see text]nm and the wall thickness was about 10[Formula: see text]nm. The results of X-ray diffraction (XRD) and high-resolution transmission electron microscope (HRTEM) showed that SnO2/TiO2 nanotubes had a mixed phase of SnO2 rutile and TiO2 anatase structures and no impurity phases. The magnetic properties of the SnO2/TiO2 nanotubes were characterized by a superconducting quantum interferometer (SQUID). The results indicated that the samples exhibited room temperature ferromagnetism which may be attributed to the interface between TiO2 and SnO2 phases.
Using e +e − annihilation data corresponding to a total integrated luminosity of 6.32 fb−1 and 2.93 fb−1 collected at the center-of-mass energies 4.178-4.226 GeV and 3.773 GeV with the BESIII detector, we have performed amplitude analyses of the decays D + s → K− K+ π+, D + s → K0 Sπ+π0 , D + s → K0 SK−π+π+, D + s → K+K−π+ π0 , D + s → ηπ+ π+ π−, and D+ → K0 SK+π0 . We present the results based on these amplitude analyses where rich structures have been observed. In addition, we also report observations of some new hadronic D + (s) decay modes D + s → K0 ρ(770)+, D + s → K∗ (892)0π +, D + s → K∗ (892)+π0 , and D + (s) → a0(980)+ρ 0 and the determinations of their decay branching fractions which are 5.46±0.84stat. ±0.44syst. ×10−3 , 2.71±0.72stat. ±0.30syst. ×10−3 , 0.75±0.24stat. ±0.06syst. ×10−3 , and 0.21 ± 0.08stat. ± 0.05syst.%
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