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检索条件"主题词=Parton Distribution Functions"
154 条 记 录,以下是11-20 订阅
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ManeParse: A Mathematica reader for parton distribution functions
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COMPUTER PHYSICS COMMUNICATIONS 2017年 216卷 126-137页
作者: Clark, D. B. Godat, E. Olness, F. I. Southern Methodist Univ Dept Phys Dallas TX 75275 USA
parton distribution functions (PDFs) are essential non-perturbative inputs for calculation of any observable with hadronic initial states. These PDFs are released by individual groups as discrete grids as a function o... 详细信息
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Impact of the top quark cross-section data on parton distribution functions
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INTERNATIONAL JOURNAL OF MODERN PHYSICS A 2018年 第24期33卷
作者: Azizi, M. Khorramian, A. Abdolmaleki, H. Semnan Univ Fac Phys POB 35195-363 Semnan Iran
Recent measurements of top quark pair production cross-section, which is performed at the LHC and the Tevatron collider, are studied using Hessian profiling technique to obtain their impact on the parton distribution ... 详细信息
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Quark shapes of most modern parton distribution functions
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TURKISH JOURNAL OF PHYSICS 2017年 第6期41卷 545-550页
作者: Ogul, Hasan Sinop Univ Dept Nucl Engn Fac Engn & Architecture Sinop Turkey
parton distribution functions (PDFs) describe the internal structure of the proton and are necessary inputs to almost all theory predictions of hadron colliders. One way to do a precise measurement of a PDF is to meas... 详细信息
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Estimating Quantum Statistical parton distribution functions in proton by maximum entropy method
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INTERNATIONAL JOURNAL OF MODERN PHYSICS A 2018年 第30期33卷
作者: Sohaily, Sozha Shahid Bahonar Univ Kerman Fac Phys Kerman Iran
An attempt to extend simple parton distribution functions based on the quantum statistical model to consider more active flavors is presented here. Considering partons as clusters, inspiring from the static picture of... 详细信息
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The impact of CMS inclusive jet data on parton distribution functions and their uncertainties
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INTERNATIONAL JOURNAL OF MODERN PHYSICS A 2017年 第22期32卷
作者: Aleedaneshvar, A. Khorramian, A. Semnan Univ Fac Phys POB 35195-363 Semnan Iran
It is well known that the jet production data at LHC provide important constraints on the medium and large-x gluon parton distribution function (PDF), as well as on the large-x sea quarks. In this work, we study the i... 详细信息
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Color Entanglement in Hadronic Processes for Transverse Momentum Dependent parton distribution functions
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International Journal of Modern Physics: Conference Series 2015年 第37期ijmpcs卷
作者: M. G. A. Buffing P. J. Mulders Theory Group Nikhef & Department of Physics Faculty of Science VU University De Boelelaan 1081 NL-1081 HV Amsterdam The Netherlands
In the description of protons, we go beyond the ordinary collinear parton distribution functions (PDFs), by including transverse momentum dependent PDFs (TMDs). As such, we become sensitive to polarization modes of th... 详细信息
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A MODEL CONSTRUCTION OF SELF-SIMILARITY BASED DOUBLE parton distribution functions FOR PROTON-PROTON COLLISION AT LHC
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INTERNATIONAL JOURNAL OF MODERN PHYSICS A 2013年 第17期28卷 13500796-1-13500796-13页
作者: Choudhury, D. K. Jahan, Akbari Gauhati Univ Dept Phys Gauhati 781014 Assam India
We construct a model for double parton distribution functions (dPDFs) based on the notion of self-similarity, pursued earlier for small x physics at HERA. The most general form of dPDFs contains total 13 parameters to... 详细信息
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Spectroscopy of excited quarkonium states in the light-front quark model
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Chinese Physics C 2025年 第2期49卷 33-46页
作者: Ritwik Acharyya Satyajit Puhan Harleen Dahiya Narinder Kumar Computational High Energy Physics Lab Department of PhysicsDr.B R Ambedkar National Institute of Technology JalandharPunjabIndia144008 Computational Theoretical High Energy Physics Lab Department of PhysicsDoaba CollegeJalandhar 144004India
We investigated the ground state(1S),radially excited states(2S)and(3S),and orbitally excited state(1P)for the heavy charmonia(cc)and bottomonia(bb)mesons in the light-front quark model(LFQM).The light-front wave func... 详细信息
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Hyperparameter optimisation in deep learning from ensemble methods: applications to proton structure
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MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2025年 第2期6卷
作者: Cruz-Martinez, Juan Jansen, Aron van Oord, Gijs Rabemananjara, Tanjona R. Rocha, Carlos M. R. Rojo, Juan Stegeman, Roy CERN Theoret Phys Dept CH-1211 Geneva 23 Switzerland Netherlands Esci Ctr Sci Pk 140 NL-1098 XG Amsterdam Netherlands Vrije Univ Dept Phys & Astron NL-1081 HV Amsterdam Netherlands Nikhef Theory Grp Sci Pk 105 NL-1098 XG Amsterdam Netherlands Univ Edinburgh Higgs Ctr Theoret Phys JCMB KB Mayfield Rd Edinburgh EH9 3FD Scotland
Deep learning models are defined in terms of a large number of hyperparameters, such as network architectures and optimiser settings. These hyperparameters must be determined separately from the model parameters such ... 详细信息
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Kaon distribution functions from empirical information
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PHYSICS LETTERS B 2025年 865卷
作者: Xu, Zhen-Ni Binosi, Daniele Chen, Chen Raya, Khepani Roberts, Craig D. Rodriguez-Quintero, Jose Univ Huelva Dept Integrated Sci E-21071 Huelva Spain Univ Huelva Ctr Adv Studies Phys Math & Computat E-21071 Huelva Spain European Ctr Theoret Studies Nucl Phys & Related A Villa TambosiStr Tabarelle 286 I-38123 Villazzano TN Italy Univ Sci & Technol China USTC Interdisciplinary Ctr Theoret Study Hefei 230026 Anhui Peoples R China Peng Huanwu Ctr Fundamental Theory PCFT Hefei 230026 Anhui Peoples R China Nanjing Univ Sch Phys Nanjing 210093 Jiangsu Peoples R China Nanjing Univ Inst Nonperturbat Phys Nanjing 210093 Jiangsu Peoples R China Univ Paris Saclay Irfu CEA F-91191 Gif Sur Yvette France
Using available information from Drell-Yan data on pion and kaon structure functions, an approach is described which enables the development of pointwise profiles for all pion and kaon parton distribution functions (D... 详细信息
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