Strange quark suppression from a simultaneous Monte Carlo analysis of parton distributions and fragmentation functions

Sato, Nobuo; Andrés, Carlota; Ethier, Jacob J.; Melnitchouk, Wally

doi:10.1103/physrevd.101.074020

Cited by 100 publications

(104 citation statements)

References 121 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other strange-sensitive processes agree qualitatively with the constraints on r s provided by the neutrino DIS data, such as W production in association with charm quarks [90] from CMS [91][92][93] and ATLAS 7 TeV [94], and semi-inclusive deep-inelastic scattering (SIDIS) [95][96][97]. However, the ATLAS measurements of the leptonic rapidity distributions in inclusive W and Z production at 7 TeV [48,98] exhibit instead a strong preference for a symmetric strange sea with r s 1.…”

Section: Jhep09(2020)183supporting

confidence: 59%

nNNPDF2.0: quark flavor separation in nuclei from LHC data

Khalek

Ethier

Rojo

et al. 2020

J. High Energ. Phys.

View full text Add to dashboard Cite

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 functions used in our previous analysis, nNNPDF1.0, are complemented by inclusive and charm-tagged cross-sections from charged-current scattering. Furthermore, we include all available measurements of W and Z leptonic rapidity distributions in proton-lead collisions from ATLAS and CMS at $$ \sqrt{s} $$ s = 5.02 TeV and 8.16 TeV. The resulting nPDF determination, nNNPDF2.0, achieves a good description of all datasets. In addition to quantifying the nuclear modifications affecting individual quarks and antiquarks, we examine the implications for strangeness, assess the role that the momentum and valence sum rules play in nPDF extractions, and present predictions for representative phenomenological applications. Our results, made available via the LHAPDF library, highlight the potential of high-energy collider measurements to probe nuclear dynamics in a robust manner.

show abstract

Section: Jhep09(2020)183supporting

confidence: 59%

nNNPDF2.0: quark flavor separation in nuclei from LHC data

Khalek

Ethier

Rojo

et al. 2020

J. High Energ. Phys.

View full text Add to dashboard Cite

show abstract

“…(3), does not vanish as 1/P h T since it contributes to the slope of D f →h , not the D f →h itself [23,33,34]. That is, in order to understand the true impact of the NLP contribution to the SIDIS, we need to do a simultaneous QCD global fitting of PDFs and FFs [35], together with double-parton FFs if one wants to include the COMPASS data or other data near the edge of phase space.…”

Section: Discussion and Future Opportunitiesmentioning

confidence: 99%

“…4 have the same results as those from Eqs. (25) to (35). This is easy to understand at this order of calculation since we neglect the quark mass and the two γ 5 in the spin trace, as those in Eq.…”

Section: B Power Suppressed Partonic Hard Partsmentioning

confidence: 99%

Power corrections in semi-inclusive deep inelastic scatterings at fixed target energies

Liu

Qiu

2020

Phys. Rev. D

View full text Add to dashboard Cite

The COMPASS collaboration published precise data on production cross section of charged hadrons in lepton-hadron semi-inclusive deep inelastic scattering, showing almost an order of magnitude larger than next-to-leading order QCD calculations when P h T and z h are sufficiently large. We explore the role of power corrections to the theoretical calculations, and quantitatively demonstrate that the power corrections are extremely important for these data when the final-state multiplicity is low and the production kinematics is near the edge of phase space. Our finding motivates more detailed studies on power corrections for upcoming experiments at Jefferson Lab, as well as the future Electron-Ion Collider.

show abstract

“…We use the multistep strategy in a Monte Carlo framework developed in Ref. [117] to reliably sample the Bayesian posterior distribution for the parameters. This approach allows us to determine the relevant regions in parameter space and give state-of-the-art uncertainty quantification, for the hadronic structures that best describe the data.…”

Section: Methodsmentioning

confidence: 99%

Origin of single transverse-spin asymmetries in high-energy collisions

et al. 2020

View full text Add to dashboard Cite

In this paper, we perform the first simultaneous QCD global analysis of data from semi-inclusive deep inelastic scattering, Drell-Yan, e þ e − annihilation into hadron pairs, and proton-proton collisions. Consequently, we are able to extract a universal set of nonperturbative functions that describes the observed asymmetries in these reactions. The outcome of our analysis indicates single transverse-spin asymmetries in high-energy collisions have a common origin. Furthermore, we achieve the first phenomenological agreement with lattice QCD on the up and down quark tensor charges.

show abstract

Strange quark suppression from a simultaneous Monte Carlo analysis of parton distributions and fragmentation functions

Cited by 100 publications

References 121 publications

nNNPDF2.0: quark flavor separation in nuclei from LHC data

nNNPDF2.0: quark flavor separation in nuclei from LHC data

Power corrections in semi-inclusive deep inelastic scatterings at fixed target energies

Origin of single transverse-spin asymmetries in high-energy collisions

Contact Info

Product

Resources

About