2021
DOI: 10.1103/physrevd.104.016015
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Simultaneous Monte Carlo analysis of parton densities and fragmentation functions

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Cited by 78 publications
(58 citation statements)
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“…For that purpose, the functional forms used should be varied in order to understand how certain choices affect the final result. In previous lattice PDF studies [34,65,74,75,80,86,87,110], the chosen functional forms are similar to those used in phenomenological analyses of PDFs [123][124][125][126]. Progress has also been made on the application of neural networks to parameterize the PDF [67,99,127].…”
Section: Parameterization Of Unknown Functionsmentioning
confidence: 99%
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“…For that purpose, the functional forms used should be varied in order to understand how certain choices affect the final result. In previous lattice PDF studies [34,65,74,75,80,86,87,110], the chosen functional forms are similar to those used in phenomenological analyses of PDFs [123][124][125][126]. Progress has also been made on the application of neural networks to parameterize the PDF [67,99,127].…”
Section: Parameterization Of Unknown Functionsmentioning
confidence: 99%
“…Previous lattice calculations of local matrix elements, obtained moments of the PDF [144] at these heavy quark masses, with values higher than those from global fits, so we may not expect agreement at the larger x region which dominates those moments. Figure 13 JHEP11(2021)024 [127], MSHT'20 [125], and JAM20 [126]. The upper plots are the parton distributions and the lower plots are the distributions weighted by x to emphasize the large x region.…”
Section: Comparison With Global Fitsmentioning
confidence: 99%
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“…Analyses such as [53] suggest that future electron-JHEP08(2021)034 ion collider SIDIS data will have a remarkable impact on the kaon fragmentation functions. On the other hand, it is also argued that in order to use the future rich information of the high precision SIDIS data to extract parton and fragmentation distribution functions with reliable uncertainties, a simultaneous fitting of PDFs and FFs is needed in order to disentangle the highly correlated set of parameters describing them [54][55][56]. In fact, traditional methods of global fitting of FFs using SIDIS data fix a specific PDF set as a baseline and account for their error by propagating them into the FFs themselves.…”
Section: Updating the Pdfs With Pseudo Datamentioning
confidence: 99%