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相关论文: Reweighted nuclear PDFs using Heavy-Flavor Product…

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We discuss the recent CMS Collaboration measurement of $W^\pm$ boson production in p+Pb collisions at 8.16 TeV in terms of the constraining power on nuclear parton distribution functions (PDFs). The impact of the free-proton PDF…

高能物理 - 唯象学 · 物理学 2022-04-13 Kari J. Eskola , Petja Paakkinen , Hannu Paukkunen , Carlos A. Salgado

We perform a global analysis of experimental data on jet quenching for heavy flavors for scenarios with and without quark-gluon plasma formation in $pp$ collisions. We find that the theoretical predictions for the nuclear modification…

高能物理 - 唯象学 · 物理学 2023-06-28 B. G. Zakharov

Measurements of the forward-backward asymmetry in neutral-current Drell-Yan di-lepton production have primarily been used for determinations of the weak mixing angle $\theta_W$. We observe that, unlike the case of Run-I of the Large Hadron…

高能物理 - 唯象学 · 物理学 2019-03-19 Elena Accomando , Juri Fiaschi , Francesco Hautmann , Stefano Moretti

The LHC is foreseen to finally bring also the nuclear collisions to the TeV scale thereby providing new possibilities for physics studies, in particular related to the electro-weak sector of the Standard Model. We study here the Z and W…

高能物理 - 唯象学 · 物理学 2015-03-17 Hannu Paukkunen , Carlos A. Salgado

In this paper we calculate the total and fiducial cross sections as well as differential distributions for the Higgs-strahlung or VH process $p p \to VH \to l\nu_l/l^- l^+ + H$, (V = W or Z, l=e,$\mu$) including QCD and electro-weak…

高能物理 - 唯象学 · 物理学 2018-11-13 Pazilet Obul , Sayipjamal Dulat , Tie-Jiun Hou , Ablikim Tursun , Nijat Yalkun

In our recent study we have determined two new spatially dependent nuclear PDF (nPDF) sets, EPS09s and EKS98s. With these, the hard-process cross-sections can be calculated in different centrality classes consistently with the globally…

高能物理 - 唯象学 · 物理学 2015-06-12 Ilkka Helenius , Kari J. Eskola , Heli Honkanen , Carlos A. Salgado

Recently a new set of Parton Distribution Functions (NNPDF1.2) has been produced and released by the NNPDF Collaboration. The inclusion of dimuon data in the analysis allows a determination of the strange content of the proton with faithful…

高能物理 - 唯象学 · 物理学 2009-07-28 Alberto Guffanti , Juan Rojo , Maria Ubiali

In collider physics, parton distribution functions (PDFs) play a crucial role in computing theoretical cross sections for scattering reactions. This study explores how different experimental data sets influence extracted PDFs in CTEQ-TEA…

高能物理 - 唯象学 · 物理学 2024-06-07 Lucas Kotz

I consider the effects of including a variety of new LHC data sets into the MMHT approach for PDF determination. I consider the impact of fitting new LHC and Tevatron data, which leads to clear improvements in some PDF uncertainties. There…

高能物理 - 唯象学 · 物理学 2017-08-02 R. S. Thorne , L. A. Harland-Lang , A. D. Martin

We study the prospects for constraining the nuclear parton distribution functions by small-x deep inelastic scattering. Performing a global fit of nuclear parton distribution functions including a sample of pseudodata representing expected…

高能物理 - 唯象学 · 物理学 2019-08-14 Hannu Paukkunen , Kari J. Eskola , Néstor Armesto

We study the sensitivity of our recent MSTW 2008 NLO and NNLO PDF analyses to the values of the charm- and bottom-quark masses, and we provide additional public PDF sets for a wide range of these heavy-quark masses. We quantify the impact…

高能物理 - 唯象学 · 物理学 2010-11-23 A. D. Martin , W. J. Stirling , R. S. Thorne , G. Watt

This contribution to the Italian "Workshop sui Monte Carlo, la Fisica e le Simulazioni a LHC", held at LNF, Frascati, in February, May and October 2006, summarises the status of parton density functions (PDF's) and the impact of their…

高能物理 - 实验 · 物理学 2019-08-13 A. Tricoli

The NNPDF collaboration has recently presented NNPDF3.1, a new determination of the parton distribution functions (PDFs) of the proton including a number of new data, some of which are particularly sensitive to the gluon PDF at large x. In…

高能物理 - 唯象学 · 物理学 2019-02-25 Emanuele R. Nocera , Maria Ubiali

Heavy flavor production is an ideal tool to study the properties of the Quark Gluon Plasma (QGP). The heavy flavor production at the Relativistic Heavy Ion Collider (RHIC) has its unique kinematic coverage and different production…

高能物理 - 实验 · 物理学 2018-09-28 Xuan Li

We present a perturbative QCD analysis concerning the production of high-pT dijets in p+Pb collisions at the LHC. The next-to-leading order corrections, scale variations and free-proton PDF uncertainties are found to have only a relatively…

高能物理 - 唯象学 · 物理学 2015-06-22 Hannu Paukkunen , Kari J. Eskola , Carlos Salgado

We present a detailed comparison of the most recent sets of NNLO PDFs from the ABM, CT, HERAPDF, MSTW and NNPDF collaborations. We compare parton distributions at low and high scales and parton luminosities relevant for LHC phenomenology.…

The PDF4LHC group has benchmarked six modern PDF sets and used them to make predictions for W,Z and Higgs production at the LHC. The reasons why predictions differ are examined and recent updates to the PDFs and their predictions are…

高能物理 - 唯象学 · 物理学 2011-07-27 A M Cooper-Sarkar

In this talk, we present our recent next-to-leading order (NLO) nuclear parton distribution functions (nPDFs), which we call EPS09. As an extension to earlier NLO analyses, we supplement the deep inelastic scattering and Drell-Yan dilepton…

高能物理 - 唯象学 · 物理学 2009-11-18 Kari J. Eskola , Hannu Paukkunen , Carlos A. Salgado

Using parton density functions (PDFs) with threshold-resummation improvement, we consistently calculate higgsino/gaugino and slepton pair production at next-to-leading order and next-to-leading logarithmic accuracy at the LHC. The smaller…

高能物理 - 唯象学 · 物理学 2019-09-16 J. Fiaschi , M. Klasen

The Fortran LHAPDF library has been a long-term workhorse in particle physics, providing standardised access to parton density functions for experimental and phenomenological purposes alike, following on from the venerable PDFLIB package.…

高能物理 - 唯象学 · 物理学 2015-06-23 Andy Buckley , James Ferrando , Stephen Lloyd , Karl Nordstrom , Ben Page , Martin Ruefenacht , Marek Schoenherr , Graeme Watt