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Phenomenology of single-inclusive jet production with jet radius and threshold resummation

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arxiv 1801.07284 v1 pith:WB3IQGNY submitted 2018-01-22 hep-ph hep-exnucl-ex

classification hep-phhep-exnucl-ex
keywords resummationjointdatacrossdifferentfunctionsinclusivenext-to-leading
verification ladder T0 review T1 audit T2 compute T3 formal

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abstract

We perform a detailed study of inclusive jet production cross sections at the LHC and compare the QCD theory predictions based on the recently developed formalism for threshold and jet radius joint resummation at next-to-leading logarithmic accuracy to inclusive jet data collected by the CMS collaboration at $\sqrt{S} = 7$ and $13$TeV. We compute the cross sections at next-to-leading order in QCD with and without the joint resummation for different choices of jet radii $R$ and observe that the joint resummation leads to crucial improvements in the description of the data. Comprehensive studies with different parton distribution functions demonstrate the necessity of considering the joint resummation in fits of those functions based on the LHC jet data.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Threshold Resummation for Semi-Inclusive Single-Hadron Production with Effective Field Theory

    hep-ph 2024-11 accept novelty 6.0 of 10

    Momentum-space SCET threshold resummation for SIA is extended to N4LL for quark and gluon channels, with new large-x coefficients through N3LO and partial N4LO.

  2. How much joint resummation do we need?

    hep-ph 2019-08 conditional novelty 6.0 of 10

    Joint resummation of two angularities, rather than one or many, yields the largest gain in predicting other angularities in e+ e- dijet events.

  3. The impact of LHC precision measurements of inclusive jet and dijet production on the CTEQ-TEA global PDF fit

    hep-ph 2024-11 conditional novelty 4.0 of 10

    New LHC inclusive jet data push the CT18 gluon harder at high x and shrink its uncertainty, while dijet data show stronger scale dependence and are set aside.

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