4.7 Article

Parton distributions with theory uncertainties: general formalism and first phenomenological studies NNPDF Collaboration

Journal

EUROPEAN PHYSICAL JOURNAL C
Volume 79, Issue 11, Pages -

Publisher

SPRINGER
DOI: 10.1140/epjc/s10052-019-7401-4

Keywords

-

Funding

  1. UK Science and Technology Facility Council [ST/P000630/1]
  2. European Research Council under the European Union's Horizon 2020 research and innovation Programme [740006]
  3. Scottish Funding Council [H14027]
  4. European Research Council Consolidator Grant NNLOforLHC2
  5. European Commission [752748]
  6. STFC [ST/R504737/1, ST/L000385/1, ST/R504671/1]
  7. European Research Council Starting Grant PDF4BSM
  8. Netherlands Organization for Scientific Research (NWO)
  9. European Research Council Starting Grant REINVENT [714788]
  10. Royal Society [DH150088, RGF/EA/180148]
  11. STFC [ST/L000385/1, 1948592, ST/P000681/1, 1961378, 1961105] Funding Source: UKRI
  12. European Research Council (ERC) [714788] Funding Source: European Research Council (ERC)
  13. Science and Technology Facilities Council [ST/P000681/1, ST/L000385/1] Funding Source: researchfish

Ask authors/readers for more resources

We formulate a general approach to the inclusion of theoretical uncertainties, specifically those related to the missing higher order uncertainty (MHOU), in the determination of parton distribution functions (PDFs). We demonstrate how, under quite generic assumptions, theory uncertainties can be included as an extra contribution to the covariance matrix when determining PDFs from data. We then review, clarify, and systematize the use of renormalization and factorization scale variations as a means to estimate MHOUs consistently in deep inelastic and hadronic processes. We define a set of prescriptions for constructing a theory covariance matrix using scale variations, which can be used in global fits of data from a wide range of different processes, based on choosing a set of independent scale variations suitably correlated within and across processes. We set up an algebraic framework for the choice and validation of an optimal prescription by comparing the estimate of MHOU encoded in the next-to-leading order (NLO) theory covariance matrix to the observed shifts between NLO and NNLO predictions. We perform a NLO PDF determination which includes the MHOU, assess the impact of the inclusion of MHOUs on the PDF central values and uncertainties, and validate the results by comparison to the known shift between NLO and NNLO PDFs. We finally study the impact of the inclusion of MHOUs in a global PDF determination on LHC cross-sections, and provide guidelines for their use in precision phenomenology. In addition, we also compare the results based on the theory covariance matrix formalism to those obtained by performing PDF determinations based on different scale choices.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available