Publication: Probing transverse-momentum distributions with groomed jets
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2019-08-28
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Springer
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Abstract
We present the transverse momentum spectrum of groomed jets in di-jet events for e(+)e(-) collisions and semi-inclusive deep inelastic scattering (SIDIS). The jets are groomed using a soft-drop grooming algorithm which helps in mitigating effects of non-global logarithms and underlying event. At the same time, by reducing the final state hadronization effects, it provides a clean access to the non-perturbative part of the evolution of transverse momentum dependent (TMD) distributions. In SIDIS experiments we look at the transverse momentum of the groomed jet measured w.r.t. the incoming hadron in the Breit frame. Because the final state hadronization effects are significantly reduced, the SIDIS case allows to probe the TMD parton distribution functions. We discuss the sources of non-perturbative effects in the low transverse momentum region including novel (but small) effects that arise due to grooming. We derive a factorization theorem within SCET and resum any large logarithm in the measured transverse momentum up to NNLL accuracy using the zeta-prescription as implemented in the artemide package and provide a comparison with simulations.
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© 2019 Springer.
The authors would like to thank Aditya Pathak, Iain W. Stewart, and Wouter J. Waalewijn for useful discussions. I.S. likes to acknowledge the support of Los Alamos National Lab for his visit, during which part of the work was done. D.G.R. and I.S. are supported by the Spanish MECD grant FPA2016-75654-C2-2-P. This project has received funding from the European Union Horizon 2020 research and innovation program under grant agreement No 824093 (STRONG-2020). D.G.R. acknowledges the support of the Universidad Complutense de Madrid through the predoctoral grant CT17/17-CT18/17. Y.M. and V.V. are supported by the U.S. Department of Energy through the Office of Science, Office of Nuclear Physics under Contract DE-AC52-06NA25396 and by an Early Career Research Award, through the LANL/LDRD Program. V.V. is also supported within the framework of the TMD Topical Collaboration. L.Z. is supported by ERC grant ERC-STG-2015-677323.