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相关论文: Rapid Acquisition Pair Distribution Function (RA-P…

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We discuss possible studies of parton distribution functions (PDFs) in the nucleon and nuclei at the Japan Hadron Facility (JHF). First, the PDFs could be investigated by the 50 GeV primary proton facility. The distributions at medium x are…

高能物理 - 唯象学 · 物理学 2007-05-23 S. Kumano

We explore and describe different protocols for calibrating electron pair distribution function (ePDF) measurements for quantitative studies on nano-materials. We find the most accurate approach to determine the camera-length is to use a…

材料科学 · 物理学 2015-03-18 A. M. Milinda Abeykoon , Hefei Hu , Lijun Wu , Yimei Zhu , Simon J. L. Billinge

We study the impact of state-of-the-art top-quark data collected at the Large Hadron Collider on parton distribution functions (PDFs). Following the ABMP methodology, the fit extracts simultaneously proton PDFs, the strong coupling…

高能物理 - 唯象学 · 物理学 2025-02-11 S. Alekhin , M. V. Garzelli , S. -O. Moch , O. Zenaiev

We have presented the results of our next-to-next-to-leading order (NNLO) QCD analysis of nuclear parton distribution functions (nuclear PDFs) [Phys. Rev. D 93 (2016) 014026, arXiv:1601.00939 [hep-ph]] using all available neutral current…

高能物理 - 唯象学 · 物理学 2020-12-17 S. Atashbar Tehrani

We explore data reduction and correction steps and processed data reproducibility in the emerging single crystal total scattering based technique of three-dimensional differential atomic pair distribution function (3D-$\Delta$PDF) analysis.…

In this paper, we present a detailed study of the unpolarized nucleon parton distribution function (PDF) employing the approach of parton pseudo-distribution functions. We perform a systematic analysis using three lattice ensembles at two…

高能物理 - 格点 · 物理学 2020-01-29 Bálint Joó , Joseph Karpie , Kostas Orginos , Anatoly Radyushkin , David Richards , Savvas Zafeiropoulos

The combined HERA-I data set, of neutral and charged current inclusive cross-sections for $e^+p$ and $e^-p$ scattering, is used as the sole input for a next-to-leading order (NLO) QCD parton distribution function (PDF) fit. The consistent…

高能物理 - 唯象学 · 物理学 2008-08-14 A M Cooper-Sarkar

Synchrotron X-ray diffraction experiments and molecular dynamics simulations have been performed on simple aliphatic aldehydes, from propanal to nonanal. The performance of the OPLS all-atom interaction potential model for aldehydes has…

We present a first determination of the nuclear parton distribution functions (nPDF) based on the NNPDF methodology: nNNPDF1.0. This analysis is based on neutral-current deep-inelastic structure function data and is performed up to NNLO in…

高能物理 - 唯象学 · 物理学 2019-07-23 Rabah Abdul Khalek , Jacob J. Ethier , Juan Rojo

We present a new QCD analysis of parton distribution functions (PDFs) at the next-to-leading order (NLO) and next-to-next-to-leading order (NNLO). In the present paper, the role of special types of experimental measurements for extracting…

高能物理 - 唯象学 · 物理学 2024-05-20 Majid Azizi , Ali Khorramian , Saeid Paktinat Mehdiabadi

We perform a next-to-next-to-leading order (NNLO) analysis of nuclear parton distribution functions (nPDFs) using neutral current charged-lepton ($\ell ^\pm$ + nucleus) deeply inelastic scattering (DIS) data and Drell-Yan (DY) cross-section…

高能物理 - 唯象学 · 物理学 2016-01-29 Hamzeh Khanpour , S. Atashbar Tehrani

An approach combining the Rietveld method and pairs distribution function analysis was developed and can help to understand the effect of temperature and/or high-pressure on crystalline materials. It was applied to orthorhombic Ta2O5…

材料科学 · 物理学 2018-02-14 J. C. de Lima , Z. V. Borges , C. M. Poffo , S. M. Souza , D. M. Trichês , R. S. de Biasi

We report global analysis results of experimental data for nuclear structure-function ratios F_2^A/F_2^{A'} and proton-nucleus Drell-Yan cross-section ratios sigma_{DY}^{pA}/sigma_{DY}^{pA'} in order to determine optimum parton distribution…

高能物理 - 唯象学 · 物理学 2009-11-10 M. Hirai , S. Kumano , T. -H. Nagai

The pair-angle distribution function (PADF) is a three- and four-atom correlation function that can characterise the local angular structure of disordered materials, particles or nanocrystalline materials. The PADF can be measured by x-ray…

无序系统与神经网络 · 物理学 2023-09-04 Andrew V. Martin , Patrick Adams , Jack Binns

The statistical approach is used to calculate the parton distribution functions (PDFs) of the nucleon. At first it is assumed that the partons are free particles and the light-front kinematic variables are employed to extract the Bjorken…

高能物理 - 唯象学 · 物理学 2014-03-27 A. Mirjalili , M. Dehghani , M. M. Yazdanpanah

High angular resolution diffusion imaging data is the observed characteristic function for the local diffusion of water molecules in tissue. This data is used to infer structural information in brain imaging. Nonparametric scalar measures…

应用统计 · 统计学 2011-08-17 Sofia C. Olhede , Brandon Whitcher

An approach is described for studying texture in nanostructured materials. The approach implements the real space texture PDF, txPDF, laid out in [Gong and Billinge (2018) arXiv:1805.10342 [cond-mat]]. It is demonstrated on a fiber textured…

The photon parton distribution function (PDF) of the proton is crucial for precise comparisons of LHC cross sections with theoretical predictions. However, it was previously affected by very large uncertainties of around ${\cal O}(100\%)$…

高能物理 - 唯象学 · 物理学 2024-08-26 Aneesh Manohar , Paolo Nason , Gavin Salam , Giulia Zanderighi

We demonstrate the feasibility of obtaining accurate pair distribution functions of thin amorphous films down to 80 nm, using modern laboratory-based x-ray sources. The pair distribution functions are obtained using a single diffraction…

材料科学 · 物理学 2024-03-20 Johan Bylin , Vassilios Kapaklis , Gunnar K. Pálsson

We present new sets of nuclear parton distribution functions (nPDFs) at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO). Our analyses are based on deeply inelastic scattering data with charged-lepton and neutrino beams…

高能物理 - 唯象学 · 物理学 2019-12-17 Marina Walt , Ilkka Helenius , Werner Vogelsang