2007
DOI: 10.1103/physrevd.75.092006
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Measurement of the inclusive jet cross section using thekTalgorithm inpp¯collisions at

Abstract: We report on measurements of the inclusive jet production cross section as a function of the jet transverse momentum in p p collisions at s p 1:96 TeV, using the k T algorithm and a data sample corresponding to 1:0 fb ÿ1 collected with the Collider Detector at Fermilab in run II. The measurements are carried out in five different jet rapidity regions with jy jet j < 2:1 and transverse momentum in the range

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Cited by 127 publications
(96 citation statements)
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References 50 publications
(18 reference statements)
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“…The D0 nuisance parameters spread in the range from -1.5 to 4.1 and in general their distribution is comparable to the normal Gaussian Figure 3. Values of the nuisance parameters r for the D0 data [1] (left) and the CDF ones [2] (right) with the uncertainties due to data fluctuation (inner bars) and the total uncertainties including the ones due to PDFs (outer bars) versus the nuisance parameter number n. The luminosity nuisance parameters correspond to n = 6 and 17 for D0 and CDF, respectively.…”
Section: Analysis Of D0 Resultsmentioning
confidence: 99%
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“…The D0 nuisance parameters spread in the range from -1.5 to 4.1 and in general their distribution is comparable to the normal Gaussian Figure 3. Values of the nuisance parameters r for the D0 data [1] (left) and the CDF ones [2] (right) with the uncertainties due to data fluctuation (inner bars) and the total uncertainties including the ones due to PDFs (outer bars) versus the nuisance parameter number n. The luminosity nuisance parameters correspond to n = 6 and 17 for D0 and CDF, respectively.…”
Section: Analysis Of D0 Resultsmentioning
confidence: 99%
“…For the variant of fit without the D0 luminosity uncertainty taken into account the value of χ 2 grows by less than 1 for 110 data points. The change in the gluon distribution obtained figure 1 for the CDF data on inclusive jet production [2]. The curves superimposed display a normal Gaussian distribution normalized on the total number of the nuisance parameters.…”
Section: Jhep02(2014)041mentioning
confidence: 99%
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