2008
DOI: 10.1103/physrevlett.101.022001
|View full text |Cite
|
Sign up to set email alerts
|

Geometric Scaling from Dokshitzer-Gribov-Lipatov-Altarelli-Parisi Evolution

Abstract: We show that the geometric scaling of the total virtual photon-proton cross section data can be explained using standard linear Dokshitzer-Gribov-Altarelli-Parisi perturbative evolution with generic boundary conditions in a wide kinematic region. This allows us to single out the region where geometric scaling may provide evidence for parton saturation.

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
29
0

Year Published

2009
2009
2015
2015

Publication Types

Select...
8
1

Relationship

1
8

Authors

Journals

citations
Cited by 42 publications
(30 citation statements)
references
References 16 publications
1
29
0
Order By: Relevance
“…Consistency of linear evolution and scaling at low x has recently also been found [10] by examining the double-asymptotic scaling approximation of the DGLAP evolution equations.…”
Section: Zeusmentioning
confidence: 78%
“…Consistency of linear evolution and scaling at low x has recently also been found [10] by examining the double-asymptotic scaling approximation of the DGLAP evolution equations.…”
Section: Zeusmentioning
confidence: 78%
“…One should note, however, that at this order of perturbative expansion the loop corrections to the leading order Fock component may change the value of the bound (22). Similarly for the next Fock component we would have:…”
Section: Emns Bound and Higher Fock Statesmentioning
confidence: 96%
“…It has always been difficult to know how seriously to take this since it is broken (by higher orders in calculations, heavy quark contributions, ...) by significant amounts. In addition it was shown explicitly that geometric scaling can appear from standard DGLAP evolution [23] with sensible boundary conditions. Perhaps more striking was the Figure 5.…”
Section: Dipole Models Saturationmentioning
confidence: 99%