6,242 research outputs found
Mass Dependence of Higgs Production at Large Transverse Momentum
The transverse momentum distribution of the Higgs at large is
complicated by its dependence on three important energy scales: , the top
quark mass , and the Higgs mass . A strategy for simplifying the
calculation of the cross section at large is to calculate only the
leading terms in its expansion in and/or . The
expansion of the cross section in inverse powers of is complicated by
logarithms of and by mass singularities. In this paper, we consider the
top-quark loop contribution to the subprocess at leading
order in . We show that the leading power of can be
expressed in the form of a factorization formula that separates the large scale
from the scale of the masses. All the dependence on and can
be factorized into a distribution amplitude for in the Higgs, a
distribution amplitude for in a real gluon, and an endpoint
contribution. The factorization formula can be used to simplify calculations of
the distribution at large to next-to-leading order in .Comment: 49 pages, 8 figure
Study on radiative decays of and into by means of LFQM
The observed resonance peak around 2.86 GeV has been carefully reexamined by
the LHCb collaboration and it is found that under the peak there reside two
states and which are considered as
and with slightly different masses and
total widths. Thus, the earlier assumption that the resonance
was a state should not be right. We suggest to measure the partial widths
of radiative decays of and to confirm their
quantum numbers. We would consider as or a pure
state, or their mixture and respectively calculate the corresponding
branching ratios as well as those of . The future precise
measurement would provide us information to help identifying the structures of
those resonances .Comment: 8 pages, 4 figures, 1 tabl
2-(4-Bromophenyl)quinoxaline
In the title compound, C14H9BrN2, the benzene and quinoxaline rings are almost coplanar [r.m.s. deviation = 0.0285 (3) Å and dihedral angle = 2.1 (2)°]
Comparison of Genetic Algorithm Based Support Vector Machine and Genetic Algorithm Based RBF Neural Network in Quantitative Structure-Property Relationship Models on Aqueous Solubility of Polycyclic Aromatic Hydrocarbons
AbstractA modified method to develop quantitative structure-property relationship (QSPR) models of organic contaminants was proposed based on genetic algorithm (GA) and support vector machine (SVM). GA was used to perform the variable selection and SVM was used to construct QSPR model. In this study, GA-SVM was applied to develop the QSPR model for aqueous solubility (Sw, mg•l-1) of polycyclic aromatic hydrocarbons (PAHs). The R2 (0.980), SSE (2.84), and RMSE (0.25) values of the model developed by GA-SVM indicated a good predictive capability for logSw values of PAHs. Based on leave-one-out cross validation, the results of GA-SVM were compared with those of genetic algorithm-radial based function neural network (GA-RBFNN). The comparison showed that the R2 (0.923) and RMSE (0.485) values of GA-SVM were higher and lower, respectively, which illustrated GA-SVM was more suitable to develop QSPR model for the logSw values of PAHs than GA-RBFNN
Chlorido{μ-2,6-bis[(2-aminoethyl)iminomethyl]-4-chlorophenolato}-μ-oxido-dicopper(II) trihydrate
In the title dinuclear complex, [Cu2(C14H20ClN4O)ClO]·3H2O, one CuII cation assumes a distorted square-planar coordination geometry and the other a distorted square-pyramidal coordination geometry. Both CuII cations are N,N′,O-chelated by one arm of the 2,6-bis[(2-aminoethyl)iminomethyl]-4-chlorophenolate anion, and one oxide anion bridges the two CuII cations, forming a dinuclear complex. One of the CuII cations is further coordinated by an Cl− anion in the apical direction. In the crystal, lattice water molecules are linked with the complex molecule via O—H⋯Cl hydrogen bonds while O—H⋯O hydrogen bonding occurs between lattice water molecules , forming three-dimensional network structure
Image Deblurring According to Facially Recognized Locations Within the Image
This publication describes techniques for image deblurring according to a facially recognized locations within the image. An algorithm may use facial detection and recognition to selectively sharpen aspects of faces within an image and the surrounding area associated with the facial detection. In one or more aspects, the selectivity of sharpening improves the computational load and other aspects of image provision to improve overall computer function, power consumption, and user experience. Individual faces within the image may be cropped or thumbnailed, providing portions of the image that include the faces. Counterpart images associated with the individual faces may be found within a database having a repository of sharp features associated with the counterpart images. As such, the features may be integrated with the blurred faces of the original image to sharpen an image output
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