A study of dijet production in proton-proton collisions was performed at
\sqrt{s}=7
TeV for jets with pT > 35
GeV and |y|<4.7 using data collected
with the CMS detector at the LHC in 2010. Events with at least one pair of jets are denoted as ``inclusive''. Events with exactly one pair of jets are called ``exclusive''.
The ratio of the cross section of all pairwise combinations
of jets to the exclusive dijet cross section as a function of the rapidity
difference between jets
DeltaY is measured for the first time up to
DeltaY =9.2. The ratio of the cross section for the pair consisting of
the most forward and the most backward jet from the inclusive sample to
the exclusive dijet cross section is also presented. The predictions of the Monte
Carlo event generators PYTHIA6 and PYTHIA8 agree with the measurements.
In both ratios the HERWIG++ generator exhibits a more pronounced
rise versus
DeltaY than observed in the data. The BFKL-motivated generators
CASCADE and HEJ+ARIADNE predict for these ratios a significantly stronger
rise than observed.
Published plots in png format
pdf left,
pdf right
Ratios of the inclusive to exclusive dijet cross sections as a function of the rapidity
separation
DeltaY between the two jets, R^{incl} (left panel) and R^{MN} (right panel), compared to the predictions of the DGLAP-based MC generators
PYTHIA6, PYTHIA8 and HERWIG++, as well as of CASCADE and HEJ+ARIADNE, which incorporate elements of the BFKL approach.
The shaded band indicates the size of the total systematic uncertainty of the data.
Statistical uncertainties are smaller than the symbol sizes.
Because of limitations in the CASCADE generator, it was not possible to obtain
a reliable prediction for
DeltaY > 8.
pdf left,
pdf right
Predictions for R^{incl} (left) and R^{MN} (right) from DGLAP-based
MC generators presented as ratio to data corrected for detector effects. Both BFKL-motivated generators CASCADE and HEJ+ARIADNE (not shown) lead to a MC/data ratio well above unity.
The shaded band indicates the size of the total systematic uncertainty of the data while statistical uncertainties are shown as bars.