Jie Zhang

Bio: Jie Zhang is an academic researcher from East China University of Science and Technology. The author has contributed to research in topics: Medicine & Large Hadron Collider. The author has an hindex of 178, co-authored 4857 publications receiving 221720 citations. Previous affiliations of Jie Zhang include University of Bedfordshire & CERN.

Measurement of the angular coefficients in Z-boson events using electron and muon pairs from data taken at √s = 8 TeV with the ATLAS detector

Abstract: The angular distributions of Drell-Yan charged lepton pairs in the vicinity of the Z-boson mass peak probe the underlying QCD dynamics of Z-boson production. This paper presents a measurement of the complete set of angular coefficients A0−7 describing these distributions in the Z-boson Collins-Soper frame. The data analysed correspond to 20.3 fb−1 of pp collisions at s=8 TeV, collected by the ATLAS detector at the CERN LHC. The measurements are compared to the most precise fixed-order calculations currently available (O(αs2)) and with theoretical predictions embedded in Monte Carlo generators. The measurements are precise enough to probe QCD corrections beyond the formal accuracy of these calculations and to provide discrimination between different parton-shower models. A significant deviation from the (O(αs2)) predictions is observed for A0 − A2. Evidence is found for non-zero A5,6,7, consistent with expectations.[Figure not available: see fulltext.]

Measurement of the charged-particle multiplicity inside jets from √s=8 TeV pp collisions with the ATLAS detector

Abstract: The number of charged particles inside jets is a widely used discriminant for identifying the quark or gluon nature of the initiating parton and is sensitive to both the perturbative and non-pertur ...

Measurement of the differential cross section for isolated prompt photon production in pp collisions at 7 TeV

Abstract: A measurement of the differential cross section for the inclusive production of isolated prompt photons in proton-proton collisions at a centre-of-mass energy of 7 TeV is presented. The data sample corresponds to an integrated luminosity of 36 inverse picobarns recorded by the CMS detector at the LHC. The measurement covers the pseudorapidity range |eta|<2.5 and the transverse energy range 25 < ET < 400 GeV, corresponding to the kinematic region 0.007 < xT < 0.114. Photon candidates are identified with two complementary methods, one based on photon conversions in the silicon tracker and the other on isolated energy deposits in the electromagnetic calorimeter. The measured cross section is presented as a function of ET in four pseudorapidity regions. The next-to-leading-order perturbative QCD calculations are consistent with the measured cross section.

Visible‐light‐driven photocatalytic H2O2 production on g‐C3N4 loaded with CoP as a noble metal free cocatalyst

Abstract: In this work, a composite catalyst combining CoP with g-C3N4 has been explored for the photocatalytic production of H2O2 under visible light irradiation. The composite catalyst was successfully fabricated by growth of CoP nanoparticles on the surface of g-C3N4. The CoP nanoparticles were well dispersed on the surface of g-C3N4 and could interact with g-C3N4 to make charge separation and electron transfer improved. The results of catalytic experiments showed that the composite catalyst had a superior catalytic activity as compared with pure CoP or g-C3N4 under visible light irradiation. The optimal catalyst with 1.76 wt% CoP loading amount exhibited the best photocatalytic efficiency with a H2O2 production of 140 uM in 2 h, which is about 4.6 and 23.3 times that of pure g-C3N4 and pure CoP, respectively. The possible mechanism on the visible-light-driven photocatalytic production of H2O2 was proposed. And the composite catalyst exhibited stable performance without obvious loss of catalytic activity after seven successive runs, showing a good application prospect for sustainable H2O2 production.

Optimal Public Investments in Education and Endogenous Growth.

Abstract: Optimal public investments in human capital through subsidizing private education or providing public education are considered in an endogenous growth model with externalities. Subsidizing private education stimulates growth, improves welfare, and has no distributional effect. While reducing income inequality as in the literature, public education hinders the growth of the average income unless externalities are strong enough and reduces the welfare of the median agent unless initial income inequality is sufficiently high. Societies with high income inequality may provide public education and will replace it with subsidized private education in some future periods as income converges. Copyright 1996 by The editors of the Scandinavian Journal of Economics.

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

A new mathematical model for relative quantification in real-time RT-PCR.

Abstract: Use of the real-time polymerase chain reaction (PCR) to amplify cDNA products reverse transcribed from mRNA is on the way to becoming a routine tool in molecular biology to study low abundance gene expression. Real-time PCR is easy to perform, provides the necessary accuracy and produces reliable as well as rapid quantification results. But accurate quantification of nucleic acids requires a reproducible methodology and an adequate mathematical model for data analysis. This study enters into the particular topics of the relative quantification in real-time RT–PCR of a target gene transcript in comparison to a reference gene transcript. Therefore, a new mathematical model is presented. The relative expression ratio is calculated only from the real-time PCR efficiencies and the crossing point deviation of an unknown sample versus a control. This model needs no calibration curve. Control levels were included in the model to standardise each reaction run with respect to RNA integrity, sample loading and inter-PCR variations. High accuracy and reproducibility (<2.5% variation) were reached in LightCycler PCR using the established mathematical model.