Ratio of differential cross section of AK1 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK2 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK2 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK2 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK2 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK3 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK3 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK3 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK3 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK4 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK4 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK4 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK4 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK5 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK5 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK5 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK5 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK6 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK6 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK6 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK6 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK7 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK7 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK7 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK7 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK8 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK8 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK8 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK8 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK9 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK9 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK9 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK9 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK10 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK10 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK10 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK10 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK11 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK11 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK11 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK11 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK12 jets with respect to AK4 jets a function of jet PT in the rapidity range |y|<0.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK12 jets with respect to AK4 jets a function of jet PT in the rapidity range 0.5<|y|<1.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK12 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.0<|y|<1.5. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of differential cross section of AK12 jets with respect to AK4 jets a function of jet PT in the rapidity range 1.5<|y|<2.0. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 84 < p_{T} < 97 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 97 < p_{T} < 133 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 133 < p_{T} < 196 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 196 < p_{T} < 272 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 272 < p_{T} < 330 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 330 < p_{T} < 395 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 395 < p_{T} < 468 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 468 < p_{T} < 548 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 548 < p_{T} < 638 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range |y|<0.5 and PT 638 < p_{T} < 1588 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 84 < p_{T} < 97 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 97 < p_{T} < 133 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 133 < p_{T} < 196 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 196 < p_{T} < 272 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 272 < p_{T} < 330 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 330 < p_{T} < 395 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 395 < p_{T} < 468 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 468 < p_{T} < 548 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 548 < p_{T} < 638 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 0.5<|y|<1.0 and PT 638 < p_{T} < 1588 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 84 < p_{T} < 97 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 97 < p_{T} < 133 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 133 < p_{T} < 196 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 196 < p_{T} < 272 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 272 < p_{T} < 330 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 330 < p_{T} < 395 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 395 < p_{T} < 468 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 468 < p_{T} < 548 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 548 < p_{T} < 638 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.0<|y|<1.5 and PT 638 < p_{T} < 1588 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 84 < p_{T} < 97 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 97 < p_{T} < 133 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 133 < p_{T} < 196 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 196 < p_{T} < 272 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 272 < p_{T} < 330 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 330 < p_{T} < 395 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 395 < p_{T} < 468 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 468 < p_{T} < 548 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 548 < p_{T} < 638 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Ratio of cross section of inclusive anti-KT jets with respect to AK4 jets as a function of jet size in the rapidity range 1.5<|y|<2.0 and PT 638 < p_{T} < 1588 GeV. The nonperturbative correction can be used to scale fixed-order theory prediction to compare to data at particle level.

Measured charged jet differential cross section ratios for INEL proton-proton collisions at $\sqrt{s}$ = 7 TeV for $15<p_{T}^{ch jet}<20$ GeV/$c$.

D(pt) distributions for pp and Pb+Pb collisions, jet rapidity 1.2 < |y| < 2.1.

D(z) distributions for pp and Pb+Pb collisions, jet rapidity |y| < 2.1.

D(z) distributions for pp and Pb+Pb collisions, jet rapidity |y| < 0.3.

D(z) distributions for pp and Pb+Pb collisions, jet rapidity 0.3 < |y| < 0.8.

D(z) distributions for pp and Pb+Pb collisions, jet rapidity 1.2 < |y| < 2.1.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with |y| < 0.3, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with 0.3 < |y| < 0.8, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with 1.2 < |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(pt) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(pt) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 100 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 100 < pt < 126 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 126 < pt < 158 GeV.

Ratio of D(z) distributions collisions, centrality 0-10 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 20-30 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 30-40 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

Ratio of D(z) distributions collisions, centrality 60-80 PCT for jets with |y| < 2.1, 158 < pt < 398 GeV.

The difference between the total yield of particles with 1 < pt^trk < 4 GeV measured in 0-80 PCT Pb+Pb collisions and the total yield measured in the same pt interval measured in pp collisions in jets with |y| < 2.1, 100 < pt < 398 GeV.

The difference between the total yield of particles with 4 < pt^trk < 25 GeV measured in 0-80 PCT Pb+Pb collisions and the total yield measured in the same pt interval measured in pp collisions in jets with |y| < 2.1, 100 < pt < 398 GeV.

The difference between the total yield of particles with 25 < pt^trk < 100 GeV measured in 0-80 PCT Pb+Pb collisions and the total yield measured in the same pt interval measured in pp collisions in jets with |y| < 2.1, 100 < pt < 398 GeV.

The difference between the total transverse momentum of particles with 1 < pt^trk < 4 GeV measured in 0-80 PCT Pb+Pb collisions and the total transverse momentum of particles in the same pt interval measured in pp collisions in jets with |y| < 2.1, 100 < pt < 398 GeV.

The difference between the total transverse momentum of particles with 4 < pt^trk < 25 GeV measured in 0-80 PCT Pb+Pb collisions and the total transverse momentum of particles in the same pt interval measured in pp collisions in jets with |y| < 2.1, 100 < pt < 398 GeV.

The difference between the total transverse momentum of particles with 25 < pt^trk < 100 GeV measured in 0-80 PCT Pb+Pb collisions and the total transverse momentum of particles in the same pt interval measured in pp collisions in jets with |y| < 2.1, 100 < pt < 398 GeV.

The ratio of R_D(z) distributions in three rapidity selections for 0-10 PCT Pb+Pb collisions.

The ratio of R_D(z) distributions in three rapidity selections for 10-20 PCT Pb+Pb collisions.

The ratio of R_D(z) distributions in three rapidity selections for 20-30 PCT Pb+Pb collisions.

Normalized dijet cross section differential in DeltPhi_{dijet} for 500<p_{T}^{max}<700 GeV region. The error bars on the data points include statistical and systematic uncertainties. The (sys) error is the total systematic error.

Normalized dijet cross section differential in DeltPhi_{dijet} for 700<p_{T}^{max}<900 GeV region. The error bars on the data points include statistical and systematic uncertainties. The (sys) error is the total systematic error.

Normalized dijet cross section differential in DeltPhi_{dijet} for 900<p_{T}^{max}<1100 GeV region. The error bars on the data points include statistical and systematic uncertainties. The (sys) error is the total systematic error.

Normalized dijet cross section differential in DeltPhi_{dijet} for p_{T}^{max}>1100 GeV region. The error bars on the data points include statistical and systematic uncertainties. The (sys) error is the total systematic error.

Inclusive Jet Cross Section for |rapidity| 1.5 TO 2.0 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.7). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 2.0 TO 2.5 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.7). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 2.5 TO 3.0 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.7). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 3.2 TO 4.7 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.7). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| < 0.5 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 0.5 TO 1.0 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 1.0 TO 1.5 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 1.5 TO 2.0 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 2.0 TO 2.5 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 2.5 TO 3.0 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive Jet Cross Section for |rapidity| 3.2 TO 4.7 as a function of the jet transverse momentum. Jets are clustered with the anti-kt algorithm ( R = 0.4). The (sys) error is the total systematic error, including the luminosity uncertainty of 2.7%.

Inclusive jet $A_{LL}$ vs. parton jet $p_T$ for 0.5<|eta|<1.0.

The uncertainties on the parton jet pT values are strongly correlated across the bins. The point-to-point statistical and systematic uncertainties on the measured A_LL values given above are only weakly correlated among the bins. The correlation matrix for the quadrature sum of the point-to-point statistical and systematic uncertainties is given below. In that matrix, the order of the rows and columns matches the bin numbering above. In addition to the point-to-point statistical and systematic uncertainties, there are two systematic uncertainties that are common to all the measured A_LL values (and not included in the systematic uncertainty numbers quoted above): (a) +/-0.0005 vertical shift uncertainty from relative luminosity and (b) +/-6.5% vertical scale uncertainty from polarization.

$A_{LL}$ model predictions for |eta|<0.5.

$A_{LL}$ model predictions for 0.5<|eta|<1.0.

No description provided.

No description provided.

No description provided.

Measured double-differential inclusive-jet cross section for the range 1.5 <= |y| < 2.0 and for anti-kT jets with radius parameter R = 0.4. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.0 <= |y| < 2.5 and for anti-kT jets with radius parameter R = 0.4. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.5 <= |y| < 3.0 and for anti-kT jets with radius parameter R = 0.4. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 0.0 <= |y| < 0.5 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 0.5 <= |y| < 1.0 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 1.0 <= |y| < 1.5 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 1.5 <= |y| < 2.0 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.0 <= |y| < 2.5 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Measured double-differential inclusive-jet cross section for the range 2.5 <= |y| < 3.0 and for anti-kT jets with radius parameter R = 0.6. It is based on the data sample of proton-proton collisions at 7 TeV of centre-of-mass energy collected in 2011 by the ATLAS experiment at the LHC. The data sample corresponds to the integrated luminosity of 4.5 fb^-1. The statistical uncertainties arising from data and MC simulation have been combined. All the components of the systematic uncertainty are shown. They are: all the components of the jet energy scale uncertainty (jesX), the uncertainty of the jet energy resolution (jer), the uncertainty of the jet angular resolution (jar), the uncertainty of data unfolding (unfold), the uncertainty of the jet quality selection (qual), the luminosity uncertainty (lumi). All the components are assumed to be independent of each other. Each component is assumed to be fully correlated in pT and eta. Concerning the shape of the different components, Gaussian distribution assumption works for most of them. The three columns correspond to three different sets of the systematic uncertainty built with nominal, stronger or weaker assumptions on correlations between the jet energy scale uncertainty components. For more information on the systematic uncertainties, see the reference paper.

Mean $p_T$, leading in-jet charged particle.

Mean $p_T$, charged particle jets, $p^{ch.jet}_T > 5$ GeV, $|\eta^{ch.jet}| < 1.9$.

Charged jet rate, $p^\text{ch.jet}_T > 5$ GeV, $|\eta^{ch.jet}| < 1.9$.

Charged jet rate, $p^\text{ch.jet}_T > 30$ GeV, $|\eta^{ch.jet}| < 1.9$.

Jet $p_T$ spectrum, $|\eta^{ch.jet}| < 1.9$, $10 < N_\text{ch} \le 30$.

Jet $p_T$ spectrum, $|\eta^{ch.jet}| < 1.9$, $30 < N_\text{ch} \le 50$.

Jet $p_T$ spectrum, $|\eta^{ch.jet}| < 1.9$, $50 < N_\text{ch} \le 80$.

Jet $p_T$ spectrum, $|\eta^{ch.jet}| < 1.9$, $80 < N_\text{ch} \le 110$.

Jet $p_T$ spectrum, $|\eta^{ch.jet}| < 1.9$, $110 < N_\text{ch} \le 140$.

Intrajet ring $p_{T}$ density, $10 < N_\text{ch} \le 30$.

Intrajet ring $p_{T}$ density, $30 < N_\text{ch} \le 50$.

Intrajet ring $p_{T}$ density, $50 < N_\text{ch} \le 80$.

Intrajet ring $p_{T}$ density, $80 < N_\text{ch} \le 110$.

Intrajet ring $p_{T}$ density, $110 < N_\text{ch} \le 140$.

Inclusive Jet cross section with R = 0.5 in the rapidity bin 1.5 < |y| < 2. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.5 in the rapidity bin 2 < |y| < 2.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.5 in the rapidity bin 2.5 < |y| < 3. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.7 in the rapidity bin 0 < |y| < 0.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.7 in the rapidity bin 0.5 < |y| < 1. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.7 in the rapidity bin 1 < |y| < 1.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.7 in the rapidity bin 1.5 < |y| < 2. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.7 in the rapidity bin 2 < |y| < 2.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Inclusive Jet cross section with R = 0.7 in the rapidity bin 2.5 < |y| < 3. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources, especially the luminosity uncertainty of 2.2%. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Jet radius ratio R(0.5, 0.7) in the rapidity bin 0 < |y| < 0.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Jet radius ratio R(0.5, 0.7) in the rapidity bin 0.5 < |y| < 1. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Jet radius ratio R(0.5, 0.7) in the rapidity bin 1 < |y| < 1.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Jet radius ratio R(0.5, 0.7) in the rapidity bin 1.5 < |y| < 2. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Jet radius ratio R(0.5, 0.7) in the rapidity bin 2 < |y| < 2.5. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.

Jet radius ratio R(0.5, 0.7) in the rapidity bin 2.5 < |y| < 3. The total uncorrelated uncertainty includes statistical one and systematic uncorrelated. The total systematic uncertainty includes all other sources. The total error can be obtained as a quadratic sum of uncorrelated and correlated one. The NP correction can be used to scale theory prediction to compare to data at particle level.