Proton and deuteron structure functions in muon scattering at 470 GeV

Adams, M. R.; Aïd, S.; Anthony, P. L.; Averill, D.; Baker, M. D.; Baller, B.; Banerjee, A.; Bhatti, A.; Bratzler, U.; Braun, H. M.; Carroll, Timothy J.; Clark, H. L.; Conrad, J. M.; Davisson, R.; Derado, I.; Dietrich, F. S.; Dougherty, W.; Dreyer, T.; Eckardt, V.; Ecker, U.; Erdmann, M.; Fang, G. Y.; Figiel, J.; Finlay, R.W.; Gebauer, H. J.; Geesaman, D. F.; Griffioen, K. A.; Guo, R. S.; Haas, J.; Halliwell, C.; Hantke, D.; Hicks, K.; Jackson, H. E.; Jaffe, D. E.; Jancsó, Gábor; Jansen, D. M.; Jin, Z.; Kaufman, S.; Kennedy, Robert; Kinney, E.; Kobrak, H. G. E.; Kotwal, A.; Kunori, S.; Lord, J. J.; Lubatti, H. J.; McLeod, D.; Madden, P.; Magill, S.; Manz, A.; Melanson, H. L.; Michael, D. G.; Montgomery, H. E.; Morfín, J. G.; Nickerson, R. B.; Novák, J.; O’Day, S.; Olkiewicz, K.; Osborne, L. S.; Otten, Renee; Papavassiliou, V.; Pawlik, B.; Pipkin, F. M.; Potterveld, D. H.; Ramberg, E.; Röser, A.; Ryan, J. J.; Salgado, C.; Salvarani, A.; Schellman, H.; Schmitt, M.; Schmitz, N.; Siegert, G.; Skuja, A.; Snow, G. A.; Söldner-Rembold, S.; Spentzouris, P.; Stier, H. E.; Stopa, P.; Swanson, R. A.; Venkataramania, H.; Wilhelm, Michael; Wilson, Richard; Wittek, W.; Wolbers, S.; Zghiche, A.; Zhao, T.

doi:10.1103/physrevd.54.3006

Cited by 204 publications

(144 citation statements)

References 89 publications

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“…These free parameters have been fixed using the following data sets: the HERA ep measurements [70,71,72,73,74] for Q 2 ≥ 2 GeV 2 for the 'reduced' cross sections σ r and σ r,NC in (12); the fixed target F p 2 data of SLAC [75], BCDMS [76], E665 [77] and NMC [78], subject to the standard cuts Q 2 ≥ 4 GeV 2 and W 2 = Q 2 ( 1 x − 1) + m 2 p ≥ 10 GeV 2 , together with the structure function ratios F n 2 /F p 2 of BCDMS [79], E665 [80] and NMC [81]. Furthermore the Drell-Yan muon pair production data of E866/NuSea [82] for…”

Section: Quantitative Results and Dynamical Small-x Predictionsmentioning

confidence: 99%

Dynamical next-to-next-to-leading order parton distributions

2009

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Utilizing recent DIS measurements (σ r , F 2,3,L ) and data on hadronic dilepton production we determine at NNLO (3-loop) of QCD the dynamical parton distributions of the nucleon generated radiatively from valencelike positive input distributions at an optimally chosen low resolution scale (Q 2 0 < 1 GeV 2 ). These are compared with 'standard' NNLO distributions generated from positive input distributions at some fixed and higher resolution scale (Q 2 0 > 1 GeV 2 ). Although the NNLO corrections imply in both approaches an improved value of χ 2 , typically χ 2 NNLO 0.9χ 2 NLO , present DIS data are still not sufficiently accurate to distinguish between NLO results and the minute NNLO effects of a few percent, despite of the fact that the dynamical NNLO uncertainties are somewhat smaller than the NLO ones and both are, as expected, smaller than those of their 'standard' counterparts. The dynamical predictions for F L (x, Q 2 ) become perturbatively stable already at Q 2 = 2 − 3 GeV 2 where precision measurements could even delineate NNLO effects in the very small-x region. This is in contrast to the common 'standard' approach but NNLO/NLO differences are here less distinguishable due to the larger 1σ uncertainty bands. Within the dynamical approach we obtain α s (M 2 Z ) = 0.1124 ± 0.0020, whereas the somewhat less constrained 'standard' fit gives α s (M 2 Z ) = 0.1158 ± 0.0035.arXiv:0810.4274v2 [hep-ph]

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Section: Quantitative Results and Dynamical Small-x Predictionsmentioning

confidence: 99%

Dynamical next-to-next-to-leading order parton distributions

2009

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“…[9,10]. In short, early SLAC data have extremely large uncertainties, while data from JLAB and the E665 collaboration [17] are mostly at low Q 2 and are almost entirely excluded by our kinematic cuts. This leaves us with the data published by the NMC [18] and BCDMS [19,20] collaborations.…”

Section: Experimental Data and Kinematical Cutsmentioning

confidence: 99%

Neural network determination of parton distributions: the nonsinglet case

Collaboration¹,

Debbio²,

Forte³

et al. 2007

J. High Energy Phys.

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Abstract:We provide a determination of the isotriplet quark distribution from available deep-inelastic data using neural networks. We give a general introduction to the neural network approach to parton distributions, which provides a solution to the problem of constructing a faithful and unbiased probability distribution of parton densities based on available experimental information. We discuss in detail the techniques which are necessary in order to construct a Monte Carlo representation of the data, to construct and evolve neural parton distributions, and to train them in such a way that the correct statistical features of the data are reproduced. We present the results of the application of this method to the determination of the nonsinglet quark distribution up to next-to-next-to-leading order, and compare them with those obtained using other approaches.

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“…E665 [18] ( √ s ∼ = 12 − 31 GeV), experiments with electrons at SLAC [19] ( √ s ≤ 7 GeV) and at JLAB [20][21][22][23]) ( √ s ≤ 3.25 GeV). The HERMES experiment [24] at HERA collected a large data set for positron and electron scattering on a variety of nuclear targets, including the proton and deuteron data presented here.…”

Section: The Muon Experiments Bcdms [15] Emc [16] Nmc [17] Andmentioning

confidence: 99%

Inclusive measurements of inelastic electron and positron scattering from unpolarized hydrogen and deuterium targets

Airapetian¹,

Акопов²,

Akopov³

et al. 2011

J. High Energ. Phys.

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Results of inclusive measurements of inelastic electron and positron scattering from unpolarized protons and deuterons at the HERMES experiment are presented. The structure functions F p 2 and F d 2 are determined using a parameterization of existing data for the longitudinal-to-transverse virtual-photon absorption cross-section ratio. The HERMES results provide data in the ranges 0.006 ≤ x ≤ 0.9 and 0.1 GeV 2 ≤ Q 2 ≤ 20 GeV 2 , covering the transition region between the perturbative and the non-perturbative regimes of QCD in a so-far largely unexplored kinematic region. They are in agreement with existing world data in the region of overlap. The measured cross sections are used, in combination with data from other experiments, to perform fits to the photon-nucleon cross section using the functional form of the ALLM model. The deuteron-to-proton cross-section ratio is also determined.

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Proton and deuteron structure functions in muon scattering at 470 GeV

Cited by 204 publications

References 89 publications

Dynamical next-to-next-to-leading order parton distributions

Dynamical next-to-next-to-leading order parton distributions

Neural network determination of parton distributions: the nonsinglet case

Inclusive measurements of inelastic electron and positron scattering from unpolarized hydrogen and deuterium targets

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