4,881 research outputs found

    Establishing low-lying doubly charmed baryons

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    We systematically study the SS-wave doubly charmed baryons using the method of QCD sum rules. Our results suggest that the Ξcc++\Xi_{cc}^{++} recently observed by LHCb can be well identified as the SS-wave Ξcc\Xi_{cc} state of JP=1/2+J^P = 1/2^+. We study its relevant Ωcc\Omega_{cc} state, whose mass is predicted to be around 3.7 GeV. We also systematically study the PP-wave doubly charmed baryons, whose masses are predicted to be around 4.1 GeV. Especially, there can be several excited doubly charmed baryons in this energy region, and we suggest to search for them in order to study the fine structure of the strong interaction.Comment: 6 pages, 2 figures, 1 table; A mistake was found when evaluating decay constants of the S-wave charmed baryons. The conclusion is not change

    P-wave charmed baryons from QCD sum rules

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    We study the P-wave charmed baryons using the method of QCD sum rule in the framework of heavy quark effective theory (HQET). We consider systematically all possible baryon currents with a derivative for internal rho- and lambda-mode excitations. We have found a good working window for the currents corresponding to the rho-mode excitations for Lambda_c(2595), Lambda_c(2625), Xi_c(2790) and Xi_c(2815) which complete two SU(3) 3F_bar multiplets of J(P)=1/2(-) and 3/2(-), while the currents corresponding to the lambda-mode excitations seem also consistent with the data. Our results also suggest that there are two Sigma_c(2800) states of J(P)=1/2(-) and 3/2(-) whose mass splitting is 14 \pm 7 MeV, and two Xi_c(2980) states whose mass splitting is 12 \pm 7 MeV. They have two Omega_c partners of J(P) = 1/2(-) and 3/2(-), whose masses are around 3.25 \pm 0.20 GeV with mass splitting 10 \pm 6 MeV. All of them together complete two SU(3) 6F multiplets of J(P)=1/2(-) and 3/2(-). They may also have J(P)=5/2(-) partners. Xi_c(3080) may be one of them, and the other two are Sigma_c(5/2(-)) and Omega_c(5/2(-)), whose masses are 85 \pm 23 and 50 \pm 27 MeV larger.Comment: 20 pages, 7 figures, accepted by PR

    Decay properties of PP-wave charmed baryons from light-cone QCD sum rules

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    We study decay properties of the PP-wave charmed baryons using the method of light-cone QCD sum rules, including the SS-wave decays of the flavor 3ˉF\mathbf{\bar 3}_F PP-wave charmed baryons into ground-state charmed baryons accompanied by a pseudoscalar meson (π\pi or KK) or a vector meson (ρ\rho or KK^*), and the SS-wave decays of the flavor 6F\mathbf{6}_F PP-wave charmed baryons into ground-state charmed baryons accompanied by a pseudoscalar meson (π\pi or KK). We study both two-body and three-body decays which are kinematically allowed. We find two mixing solutions from internal ρ\rho- and λ\lambda-mode excitations, which can well describe both masses and decay properties of the Λc(2595)\Lambda_c(2595), Λc(2625)\Lambda_c(2625), Ξc(2790)\Xi_c(2790) and Ξc(2815)\Xi_c(2815). We also discuss the possible interpretations of PP-wave charmed baryons for the Σc(2800)\Sigma_c(2800), Ξc(2930)\Xi_c(2930), Ξc(2980)\Xi_c(2980), and the recently observed Ωc(3000)\Omega_c(3000), Ωc(3050)\Omega_c(3050), Ωc(3066)\Omega_c(3066), Ωc(3090)\Omega_c(3090), and Ωc(3119)\Omega_c(3119).Comment: 44 pages, 9 figures. Version appears in Phys. Rev.

    Late carboniferous to early permian brachiopod faunas from the Bachu and Kalpin areas, Tarim Basin, NW China

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    Late Carboniferous and Early Permian brachiopod faunas are described from the Xiaohaizi section of the Bachu area and the Shishichang section of the Kalpin area, the Tarim Basin, NW China. Biostratigraphic studies of brachiopods and associated microfossils indicate that the Xiaohaizi Formation is Moscovian (Late Carboniferous) and the Shishichang Formation is Kasimovian-Gzhelian (Late Carboniferous), whereas the Nanza and Kankarin Formations are Asselian to early Artinskian (Early Permian). Two new species proposed from the Nanza Formation are Kutorginella tarimensis and Phricodothyris? bachuensis.<br /

    Enhancing Customer Satisfaction Analysis with a Machine Learning Approach: From a Perspective of Matching Customer Comment and Agent Note

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    With the booming of UGCs, customer comments are widely utilized in analyzing customer satisfaction. However, due to the characteristics of emotional expression, ambiguous semantics and short text, sentiment analysis with customer comments is easily biased and risky. This paper introduces another important UGC, i.e., agent notes, which not only effectively complements customer comment, but delivers professional details, which may enhance customer satisfaction analysis. Moreover, detecting the mismatch on aspects between these two UGCs may further help gain in-depth customer insights. This paper proposes a machine learning based matching analysis approach, namely CAMP, by which not only the semantics and sentiment in customer comments and agent notes can be sufficiently and comprehensively investigated, but the granular and fine-grained aspects could be detected. The CAMP approach can provide practical guidance for following-up service, and the automation can help speed-up service response, which essentially improves customer satisfaction and retains customer loyalty

    Correct order on some certain weighted representation functions

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    Let N\mathbb{N} be the set of all nonnegative integers. For any positive integer kk and any subset AA of nonnegative integers, let r1,k(A,n)r_{1,k}(A,n) be the number of solutions (a1,a2)(a_1,a_2) to the equation n=a1+ka2n=a_1+ka_2. In 2016, Qu proved that lim infnr1,k(A,n)=\liminf_{n\rightarrow\infty}r_{1,k}(A,n)=\infty providing that r1,k(A,n)=r1,k(NA,n)r_{1,k}(A,n)=r_{1,k}(\mathbb{N}\setminus A,n) for all sufficiently large integers, which answered affirmatively a 2012 problem of Yang and Chen. In a very recent article, another Chen (the first named author) slightly improved Qu's result and obtained that lim infnr1,k(A,n)logn>0.\liminf_{n\rightarrow\infty}\frac{r_{1,k}(A,n)}{\log n}>0. In this note, we further improve the lower bound on r1,k(A,n)r_{1,k}(A,n) by showing that lim infnr1,k(A,n)n>0.\liminf_{n\rightarrow\infty}\frac{r_{1,k}(A,n)}{n}>0. Our bound reflects the correct order of magnitude of the representation function r1,k(A,n)r_{1,k}(A,n) under the above restrictions due to the trivial fact that $r_{1,k}(A,n)\le n/k.
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