CT14 intrinsic charm parton distribution functions from CTEQ-TEA global analysis

Hou, Tie Jiun; Dulat, Sayipjamal; Gao, Jun; Guzzi, Marco; Huston, J.; Nadolsky, Pavel; Schmidt, C.; Winter, Jan; Xie, Keping; Yuan, C. P.

doi:10.1007/jhep02(2018)059

Cited by 84 publications

(89 citation statements)

References 135 publications

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“…In this study we will not consider the intrinsic component since it is very small and, in fact, all recent attempts [4][5][6][7][8] to derive the intrinsic charm component of the proton from experimental data have been consistent with vanishing intrinsic charm (intrinsic bottom would be even smaller). We note that not including intrinsic heavy flavor component is mostly for convenience, however, and this is a problem which is orthogonal to the scope of the current work.…”

Section: Introductionmentioning

confidence: 99%

Heavy-flavor parton distributions without heavy-flavor matching prescriptions

Bertone

Glazov

Mitov

et al. 2018

J. High Energ. Phys.

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Abstract:We show that the well-known obstacle for working with the zero-mass variable flavor number scheme, namely, the omission of O(1) mass power corrections close to the conventional heavy flavor matching point (HFMP) µ b = m, can be easily overcome. For this it is sufficient to take advantage of the freedom in choosing the position of the HFMP. We demonstrate that by choosing a sufficiently large HFMP, which could be as large as 10 times the mass of the heavy quark, one can achieve the following improvements: 1) above the HFMP the size of missing power corrections O(m) is restricted by the value of µ b and, therefore, the error associated with their omission can be made negligible; 2) additional prescriptions for the definition of cross-sections are not required; 3) the resummation accuracy is maintained and 4) contrary to the common lore we find that the discontinuity of α s and pdfs across thresholds leads to improved continuity in predictions for observables. We have considered a large set of proton-proton and electron-proton collider processes, many through NNLO QCD, that demonstrate the broad applicability of our proposal.

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Section: Introductionmentioning

confidence: 99%

Heavy-flavor parton distributions without heavy-flavor matching prescriptions

Bertone

Glazov

Mitov

et al. 2018

J. High Energ. Phys.

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“…For the case of Ξ cc production via (g + c) channel, the scale uncertainty is about ±35%. To show how different models of IC PDF affect the production rates, we adopt the CTEQ PDF version CT14C under BHPS model, SEA model [65] as explicit examples to estimate the errors caused by different choices of the IC PDF. The results are shown in Table XI.…”

Section: Theoretical Uncertainties For ξCc Productionmentioning

confidence: 99%

Impacts of the intrinsic charm content of the proton on the Ξcc hadroproduction at a fixed target experiment at the LHC

Chen

2019

Phys. Rev. D

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In the present paper, we present detailed discussions on the hadronic production of Ξcc at a fixed target experiment at the LHC (After@LHC). The charm quarks in hadron could be either extrinsic or intrinsic. By using the BHPS model as the intrinsic charm distribution function in proton, we observe that even if by setting the proportion of finding the intrinsic charm in a proton as Ain = 1%, total cross sections for the g + c and c + c production mechanisms shall be enhanced by nearly two times. Thus the number of Ξcc events to be generated at the After@LHC can be greatly enhanced. Since the total cross sections and differential distributions for the Ξcc production at the After@LHC are sensitive to the value of Ain, the After@LHC could be a good platform for testing the idea of intrinsic charm. *

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“…Modern structure functions include this contribution as an initial parametrisation in some of their sets. Here we will consider the latest parametrisation due to the CT collaboration [18]. They have looked at the intrinsic charm content in the proton at the leading (LO), next-to-leading (NLO) and next-to-next-to-leading orders (NNLO).…”

Section: Intrinsic Charmmentioning

confidence: 99%