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相关论文: DGLAP analyses of nPDF: constraints from data

200 篇论文

We present a model-independent determination of the nuclear parton distribution functions (nPDFs) using machine learning methods and Monte Carlo techniques based on the NNPDF framework. The neutral-current deep-inelastic nuclear structure…

高能物理 - 唯象学 · 物理学 2020-10-28 Rabah Abdul Khalek , Jacob J. Ethier , Juan Rojo , Gijs van Weelden

Fitting PDFs requires the integration of a broad range of datasets, both from data and theory side, into a unique framework. While for data the integration mainly consists in the standardization of the data format, for the theory…

高能物理 - 唯象学 · 物理学 2022-11-22 Andrea Barontini , Alessandro Candido , Juan Cruz-Martinez , Felix Hekhorn , Giacomo Magni , Christopher Schwan

In this contribution we present a status report on the recent progress towards an analysis of nuclear parton distribution functions (nPDFs) using the NNPDF methodology. We discuss how the NNPDF fitting approach can be extended to account…

高能物理 - 唯象学 · 物理学 2018-11-15 Rabah Abdul Khalek , Jacob J. Ethier , Juan Rojo

Nuclear parton distribution functions (nPDFs) can be determined in a global QCD analysis using a wide range of experimental data. In addition to older fixed-target deep inelastic scattering and Drell-Yan (DY) dilepton production data,…

高能物理 - 唯象学 · 物理学 2022-07-12 Ilkka Helenius , Marina Walt , Werner Vogelsang

We present a determination of the parton distributions of the nucleon from a global set of hard scattering data using the NNPDF methodology: NNPDF2.0. Experimental data include deep-inelastic scattering with the combined HERA-I dataset,…

高能物理 - 唯象学 · 物理学 2014-11-20 Richard D. Ball , Luigi Del Debbio , Stefano Forte , Alberto Guffanti , Jose I. Latorre , Juan Rojo , Maria Ubiali

Parton Distribution Functions (PDFs) model the parton content of the proton. Among the many collaborations which focus on PDF determination, NNPDF pioneered the use of Neural Networks to model the probability of finding partons (quarks and…

计算物理 · 物理学 2020-07-21 Juan M Cruz-Martinez , Stefano Carrazza , Roy Stegeman

In this talk, I overview the recent progress on the global analysis of nuclear parton distribution functions (nuclear PDFs). After first introducing the contemporary fits, the analysis procedures are quickly recalled and the ambiguities in…

高能物理 - 唯象学 · 物理学 2018-03-14 Hannu Paukkunen

We use the constraints arising from primordial nucleosynthesis to bound the strength $F$ of non-standard neutrino-neutrino interactions, when the right-handed neutrinos participate in the interaction. We find $F < 3 \times 10^{-3}\ G_F$,…

高能物理 - 唯象学 · 物理学 2009-10-28 Eduard Massó , Ramon Toldrà

We present an updated determination of nuclear parton distributions (nPDFs) from a global NLO QCD analysis of hard processes in fixed-target lepton-nucleus and proton-nucleus together with collider proton-nucleus experiments. In addition to…

高能物理 - 唯象学 · 物理学 2022-05-27 Rabah Abdul Khalek , Rhorry Gauld , Tommaso Giani , Emanuele R. Nocera , Tanjona R. Rabemananjara , Juan Rojo

A new QCD analysis for nuclear parton distribution functions (nPDFs) at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO) is presented. The framework of the analysis, including the form of the parameterization as well as…

高能物理 - 唯象学 · 物理学 2019-08-15 Marina Walt , Ilkka Helenius , Werner Vogelsang

In this paper we explore the use of results on forward particle production at the LHC to constrain nuclear Parton Density Functions (nPDFs). The case study here is based on a possible future measurement of forward photon production with the…

高能物理 - 唯象学 · 物理学 2019-09-13 Marco van Leeuwen

I present a determination of longitudinally-polarized parton distribution functions of the proton from inclusive deep-inelastic scattering data: NNPDFpol1.0+. This determination, based on the NNPDF methodology, upgrades a previous analysis,…

高能物理 - 唯象学 · 物理学 2016-02-17 Emanuele R. Nocera

We present a quantitative study of the $\nu N$ cross section in the neutrino energy range $10^4<E_{\nu}<10^{14}$ GeV within two transversal QCD approaches: NLO DGLAP evolution using different sets of PDFs and BK small-$x$ evolution with…

高能物理 - 唯象学 · 物理学 2015-08-05 Javier L. Albacete , José I. Illana , Alba Soto-Ontoso

The neutrino deep inelastic scattering (DIS) data is very interesting for global analyses of proton and nuclear parton distribution functions (PDFs) since they provide crucial information on the strange quark distribution in the proton and…

高能物理 - 唯象学 · 物理学 2011-11-07 K. Kovarik , I. Schienbein , F. I. Olness , J. Y. Yu , C. Keppel , J. G. Morfin , J. F. Owens , T. Stavreva

This document describes a Fortran 95 package for carrying out DGLAP evolution and other common manipulations of parton distribution functions (PDFs). The PDFs are represented on a grid in x-space so as to avoid limitations on the functional…

高能物理 - 唯象学 · 物理学 2010-03-25 Gavin P. Salam , Juan Rojo

We discuss the main features of the recent NNPDF2.1 NLO set, a determination of parton distributions from a global set of hard scattering data using the NNPDF methodology including heavy quark mass effects. We present the implications for…

高能物理 - 唯象学 · 物理学 2011-07-07 Francesco Cerutti

The accelerating expansion of our universe at present could be driven by an unknown energy component (Dark Energy) or a modification of general relativity (Modified Gravity). In this note we revisit the constraints on a phenomenological…

宇宙学与河外天体物理 · 物理学 2009-08-03 Jun-Qing Xia

The current frontier of solar neutrino physics is the observation of CNO neutrinos. The signals of CNO and PP neutrinos are however entangled: In fact, the pp-flux can be known precisely only if CNO-flux is quantified; the interpretation of…

太阳与恒星天体物理 · 物理学 2020-01-08 Francesco Vissani

We discuss the contribution coming from the infrared region to NLO matrix elements and/or coefficient functions of hard QCD processes. Strictly speaking, this contribution is not known theoretically, since it is beyond perturbative QCD. For…

高能物理 - 唯象学 · 物理学 2015-06-05 E. G. de Oliveira , A. D. Martin , M. G. Ryskin

We present a next-to-leading order (NLO) global DGLAP analysis of nuclear parton distribution functions (nPDFs) and their uncertainties. Carrying out an NLO nPDF analysis for the first time with three different types of experimental input…

高能物理 - 唯象学 · 物理学 2009-04-22 K. J. Eskola , H. Paukkunen , C. A. Salgado