Untitled

Alekhin, O.; Ostapchuk, Yu. L.

doi:10.1023/a:1022496015866

Cited by 3 publications

(29 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the next Section we investigate the consistency of fixed target DY data [7,8,9] and theoretical predictions obtained with the DIS PDFs of Ref. [3]. This consistency is the necessary condition for combining the DIS and DY data; if it is not fulfilled, the errors on parton distribution functions obtained in a combined fit are meaningless.…”

Section: Introductionmentioning

confidence: 95%

“…To do so, we compute the dilepton rapidity distribution for fixed target DY processes using the DIS PDFs [3] and compare the results of the calculation to experimental data [7,8,9,10]. We assume that dimuon production in the Drell-Yan process is well described by the leading twist factorization and that nuclear corrections are unimportant.…”

Section: Dis Parton Distribution Functions and The Dy Datamentioning

confidence: 99%

“…The NLO (dashes) and NNLO (solid) dilepton rapidity distributions for proton-copper collisions, calculated with the DIS PDFs of Ref. [3], in comparison with the E-605 data at zero rapidity. The NNLO 1σ uncertainty band due to PDF errors is displayed by the dotted curves.…”

Section: Dis Parton Distribution Functions and The Dy Datamentioning

confidence: 99%

“…Note that some parameters in Eqs. (3)(4)(5) are inter-dependent. For valence quarks, N q V is calculated from the requirement that the total numbers of valence u and d quarks are two and one, respectively.…”

Section: A Fit To the Combined Dis And Dy Data A Theoretical Inputmentioning

confidence: 99%

“…Since the deuteron nuclear correction increases with x, the cut x < 0.75 was applied to the DIS deuteron target data in Ref. [3]. Because uncertainties in nuclear effects at large x are now better understood [16], we do not apply a similar cut in the current analysis and include the DIS data points up to x = 0.9, the largest value of x available in the existing DIS data.…”

Section: A Fit To the Combined Dis And Dy Data A Theoretical Inputmentioning

confidence: 99%

See 4 more Smart Citations

Fixed target Drell-Yan data and NNLO QCD fits of parton distribution functions

2006

View full text Add to dashboard Cite

We discuss the influence of fixed target Drell-Yan data on the extraction of parton distribution functions at next-to-next-to-leading order (NNLO) in QCD. When used in a parton distribution fit, the Drell-Yan (DY) data constrain sea quark distributions at large values of Bjorken x. We find that not all available DY data are useful for improving the precision of parton distribution functions (PDFs) obtained from a fit to the deep inelastic scattering (DIS) data. In particular, some inconsistencies between DIS-based parton distribution functions and DY data for large values of dilepton rapidity are found. However, by selecting a sample of the DY data that is both representative and consistent with the DIS data, we are able to perform a combined PDF fit that significantly improves the precision of non-strange quark distributions at large values of x. The NNLO QCD corrections to the DY process are crucial for improving the precision. They reduce the uncertainty of the theoretical prediction, making it comparable to the experimental uncertainty in DY cross-sections over a broad range of x.2

show abstract

Section: Introductionmentioning

confidence: 95%

Section: Dis Parton Distribution Functions and The Dy Datamentioning

confidence: 99%

Section: Dis Parton Distribution Functions and The Dy Datamentioning

confidence: 99%

Section: A Fit To the Combined Dis And Dy Data A Theoretical Inputmentioning

confidence: 99%

Section: A Fit To the Combined Dis And Dy Data A Theoretical Inputmentioning

confidence: 99%

See 3 more Smart Citations

Fixed target Drell-Yan data and NNLO QCD fits of parton distribution functions

2006

View full text Add to dashboard Cite

show abstract

Apparent mean-field criticality of liquid–liquid phase transitions in ionic solutions

Schröer

Wagner

Stanga

2006

Journal of Molecular Liquids

View full text Add to dashboard Cite

A determination of parton distributions with faithful uncertainty estimation

et al. 2009

View full text Add to dashboard Cite

Abstract:We present the determination of a set of parton distributions of the nucleon, at nextto-leading order, from a global set of deep-inelastic scattering data: NNPDF1.0. The determination is based on a Monte Carlo approach, with neural networks used as unbiased interpolants. This method, previously discussed by us and applied to a determination of the nonsinglet quark distribution, is designed to provide a faithful and statistically sound representation of the uncertainty on parton distributions. We discuss our dataset, its statistical features, and its Monte Carlo representation. We summarize the technique used to solve the evolution equations and its benchmarking, and the method used to compute physical observables. We discuss the parametrization and fitting of neural networks, and the algorithm used to determine the optimal fit. We finally present our set of parton distributions. We discuss its statistical properties, test for its stability upon various modifications of the fitting procedure, and compare it to other recent parton sets. We use it to compute the benchmark W and Z cross sections at the LHC. We discuss issues of delivery and interfacing to commonly used packages such as LHAPDF.1

show abstract

Untitled

Cited by 3 publications

References 6 publications

Fixed target Drell-Yan data and NNLO QCD fits of parton distribution functions

Fixed target Drell-Yan data and NNLO QCD fits of parton distribution functions

Apparent mean-field criticality of liquid–liquid phase transitions in ionic solutions

A determination of parton distributions with faithful uncertainty estimation

Contact Info

Product

Resources

About