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Analysis of the Diffractive Deep Inelastic Scattering Data with Running Coupling and Gluon Number Fluctuations
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作者 向文昌 胡志海 +2 位作者 刘万松 彭俊金 蔡绍洪 《Chinese Physics Letters》 SCIE CAS CSCD 2016年第8期33-37,共5页
We study the effects of running coupling and gluon number fluctuations in the latest diffractive deep inelastic scattering data. It is found that the description of the data is improved once the running coupling and g... We study the effects of running coupling and gluon number fluctuations in the latest diffractive deep inelastic scattering data. It is found that the description of the data is improved once the running coupling and gluon number fluctuations are included with x2/d.o.f. = 0.867, x2/d.o.f. = 0.923 and x2/d.o.f. = 0.878 for three different groups of experimental data. The values of diffusive coefficient subtracted from the fit are smaller than the ones obtained by considering only the gluon number fluctuations in our previous studies. The smaller values of the diffusive coefficient are in agreement with the theoretical predictions, where the gluon number fluctuations are suppressed by the running coupling which leads to smaller values of the diffusive coefficient. 展开更多
关键词 of QCD Analysis of the Diffractive Deep Inelastic Scattering data with Running Coupling and Gluon Number fluctuations in is that with
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Discussion on the paper “Analyzing short time series data from periodically fluctuating rodent populations by threshold models: A nearestblock bootstrap approach”
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作者 LI W.K.& LI GuoDong Department of statistics and Actuarial Science,University of Hong Kong,Pokfulam Road,Hong Kong,China 《Science China Mathematics》 SCIE 2009年第6期1109-1110,共2页
The authors are to be congratulated for an innovative paper in terms of both modelling methodology and subject matter significance. The analysis of short time series is known to be
关键词 time Discussion on the paper A nearestblock bootstrap approach Analyzing short time series data from periodically fluctuating rodent populations by threshold models GARCH data
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Discussion on the paper “Analyzing short time series data from periodically fluctuating rodent populations by threshold models: A nearestblock bootstrap approach”
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作者 HALL Peter 《Science China Mathematics》 SCIE 2009年第6期1107-1108,共2页
This is a very attractive article. It combines fascinating new methodology with a most interesting dataset, and a highly motivating presentation. However, despite the many
关键词 time A nearestblock bootstrap approach Analyzing short time series data from periodically fluctuating rodent populations by threshold models Discussion on the paper data
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