EPS09 — Global NLO Analysis of Nuclear PDFs and Their Uncertainties

EPS09 — Global NLO Analysis of Nuclear PDFs and Their Uncertainties

Abstract

In this talk, we present our recent next-to-leading order (NLO) nuclear parton distribution functions (nPDFs), which we call EPS09. As an extension to earlier NLO analyses, we supplement the deep inelastic scattering and Drell-Yan dilepton data by inclusive midrapidity pion measurements from RHIC in order to reduce the otherwize large freedom in the nuclear gluon densities. Our Hessian-type error analysis leading to a collection of nPDF error sets, is the first of its kind among the nPDF analyses.

1

1 Introduction

The global analyses of the free nucleon parton distribution functions (PDFs) are grounded on the asymptotic freedom of QCD, factorization and parton evolution. These features allow to express the hard-process cross-sections formally as

where s are the scale-dependent PDFs, and denote the perturbatively computable partonic pieces. The factorization theorem has turned out to work extremely well with increasingly many different types of data included in the latest free proton PDF analyses. For bound nucleons factorization is not as well-established, but it has anyway proven to do a very good job (1); (2); (3); (4); (5); (6) in describing the measured nuclear modifications in deep inelastic scattering (DIS) and Drell-Yan (DY) dilepton production involving nuclear targets. This talk summarizes our new NLO analysis (7).

2 Analysis Method and Framework

We define the nuclear PDFs through nuclear modification factors as follows:

where refers to a CTEQ set of the free proton PDFs (8) in the zero-mass variable flavour number scheme. The and dependences of s satisfying the sum rules, are parametrized considering three modifications: for both valence quarks, for all sea quarks, and for gluons. The nuclear PDFs at are obtained as solutions to the DGLAP equations using our own NLO DGLAP solver based on a semi-analytical method described e.g. in (9); (10).

All cross sections are computed using the factorization theorem and the initial parametrization is adjusted to find the minimum of

For each data set , the denotes the experimental data value with point-to-point uncertainty , and is the theory prediction computed using parameters . The pion data suffers from an overall normalization uncertainty , and the normalization factor is determined by minimizing . The weight factors amplify the importance of those data sets whose content is physically relevant, but whose contribution to would otherwize be too small to be noticed by the automated minimization routine we use.

Besides finding the central set of parameters that optimally fits the data, propagating the experimental uncertainties to the PDFs has become an inseparable part of the modern PDF fits. The Hessian method (11), which we use, trusts on a quadratic approximation

The eigenvectors of the Hessian matrix serve as an uncorrelated basis for building the PDF error sets . These are obtained by displacing the fit parameters to the positive/negative direction along such that grows by a certain amount from the minimum . Using these sets, the upper and lower uncertainty of a quantity can be written e.g. as

(1)

where denotes the value of the quantity computed using the set . Requiring each data set to remain close to its 90%-confidence range, we obtain .

3 Results and Conclusions

Figure 1: The obtained modifications at and at . The black lines indicate the best-fit, whereas the dotted green curves denote the individual error sets which combine to the shaded bands like in Eq. (1).

Now, we briefly summarize the main results from the present analysis, starting with Fig. 1 where we show the obtained modifications for Lead — the nucleus relevant for the LHC — at two scales. Interestingly, even the rather large uncertainty at small- gluons becomes notably smaller in the scale evolution. This is a prediction that might be testable in the future colliders.

As the DIS and DY data constitute our main data constraints, we display in Fig. 2 some examples of the measured nuclear modifications with respect to Deuterium,

for different nuclei and compare with the EPS09.

Figure 2: The calculated and compared with the NMC (12); (13) and E772 (14) data.

The shaded blue bands always denote the uncertainty derived from the EPS09 error sets. Their size is comparable to the experimental errors, supporting our choice for .

Figure 3: Left: The modifications at from HKN07 (5), nDS (6) and this work, EPS09 (7). Right: The computed for yield compared with the PHENIX (15) and STAR (16) data multiplied by and respectively.
Figure 4: The calculated scale evolution of the ratio compared with the NMC data (17).

The nuclear modification for pion production is defined as

where denotes the number of binary nucleon-nucleon collisions and the pion’s transverse momentum and rapidity. The comparison with the PHENIX and STAR data plotted in Fig. 3, shows that the shape of the spectrum — which in our calculation is a reflection of the similar shape in  — gets well reproduced by EPS092. Figure 3 also presents a comparison of the EPS09 gluon modifications with the earlier NLO analyses. The significant scatter of the curves highlights the difficulty of extracting the nuclear modifications from the DIS and DY data alone. Consequently, also the predictions for pion differ significantly as is easily seen in Fig. 3. This is actually good news as this type of data, especially with better statistics, may eventually discriminate between different proposed gluon modifications.

Attention should be also paid to the experimentally observed scaling-violations and that the DGLAP dynamics is able to reproduce them well. Such effects are most transparent e.g. in the small- structure function ratios versus , of which Fig. 4 shows an example. To summarize, the excellent agreement with the experimental data, , and especially the correct description of the scale-breaking effects — we argue — is evidence for the applicability of collinear factorization in nuclear environment. The best fit and all the 30 NLO nPDF error-sets are available for practical use from (18). Also the leading-order EPS09 sets are provided.

Acknowledgments

We thank the V., Y., & K. Väisälä foundation, the M. Ehrnrooth foundation, and the Academy of Finland for financial support.

Footnotes

  1. journal: Nuclear Physics A
  2. The shape is practically independent of the set of contemporary fragmentation functions used.

References

  1. K. J. Eskola, V. J. Kolhinen and P. V. Ruuskanen, Nucl. Phys. B 535 (1998) 351 [arXiv:hep-ph/9802350].
  2. K. J. Eskola, V. J. Kolhinen and C. A. Salgado, Eur. Phys. J. C 9 (1999) 61 [arXiv:hep-ph/9807297].
  3. K. J. Eskola, V. J. Kolhinen, H. Paukkunen and C. A. Salgado, JHEP 0705 (2007) 002 [arXiv:hep-ph/0703104].
  4. K. J. Eskola, H. Paukkunen and C. A. Salgado, JHEP 0807 (2008) 102 [arXiv:0802.0139 [hep-ph]].
  5. M. Hirai, S. Kumano and T. H. Nagai, arXiv:0709.3038 [hep-ph].
  6. D. de Florian and R. Sassot, Phys. Rev. D 69 (2004) 074028 [arXiv:hep-ph/0311227].
  7. K. J. Eskola, H. Paukkunen and C. A. Salgado, JHEP 0904 (2009) 065 [arXiv:0902.4154 [hep-ph]].
  8. D. Stump et al., JHEP 0310 (2003) 046 [arXiv:hep-ph/0303013].
  9. P. Santorelli and E. Scrimieri, Phys. Lett. B 459 (1999) 599 [arXiv:hep-ph/9807572].
  10. H. Paukkunen, PhD Thesis, arXiv:0906.2529 [hep-ph].
  11. J. Pumplin et al., Phys. Rev. D 65 (2001) 014013 [arXiv:hep-ph/0101032].
  12. M. Arneodo et al. [New Muon Collaboration.], Nucl. Phys. B 441 (1995) 12 [arXiv:hep-ex/9504002].
  13. P. Amaudruz et al. [New Muon Collaboration], Nucl. Phys. B 441 (1995) 3 [arXiv:hep-ph/9503291].
  14. D. M. Alde et al., Phys. Rev. Lett. 64 (1990) 2479.
  15. S. S. Adler et al. [PHENIX Collaboration], Phys. Rev. Lett. 98 (2007) 172302 [arXiv:nucl-ex/0610036].
  16. J. Adams et al. [STAR Collaboration], Phys. Lett. B 637 (2006) 161 [arXiv:nucl-ex/0601033].
  17. M. Arneodo et al. [New Muon Collaboration], Nucl. Phys. B 481 (1996) 23.
  18. https://www.jyu.fi/fysiikka/en/research/highenergy/urhic/nPDFs
Comments 0
Request Comment
You are adding the first comment!
How to quickly get a good reply:
  • Give credit where it’s due by listing out the positive aspects of a paper before getting into which changes should be made.
  • Be specific in your critique, and provide supporting evidence with appropriate references to substantiate general statements.
  • Your comment should inspire ideas to flow and help the author improves the paper.

The better we are at sharing our knowledge with each other, the faster we move forward.
""
The feedback must be of minumum 40 characters
Add comment
Cancel
Loading ...
131286
This is a comment super asjknd jkasnjk adsnkj
Upvote
Downvote
""
The feedback must be of minumum 40 characters
The feedback must be of minumum 40 characters
Submit
Cancel

You are asking your first question!
How to quickly get a good answer:
  • Keep your question short and to the point
  • Check for grammar or spelling errors.
  • Phrase it like a question
Test
Test description