$\psi(2S)$ production in jets using NRQCD
Marston Copeland, Lin Dai, Yu Fu, Jyotirmoy Roy

TL;DR
This paper analyzes $(2S)$ production within jets at the LHCb using NRQCD, demonstrating improved data description with FJF and GFIP formalisms and highlighting the potential of $(2S)$ distributions to refine LDMEs.
Contribution
It introduces and compares FJF and GFIP formalisms for $(2S)$ production in jets, showing their superiority over default Pythia+NRQCD and emphasizing the need for precise LDME extraction.
Findings
FJF and GFIP formalisms better match experimental data than default Pythia+NRQCD.
$(2S)$ distribution in jets can discriminate between different LDME extractions.
Significant disparities exist among predictions from various LDME extractions.
Abstract
Based on recent data from LHCb, we study production in jets using non-relativistic QCD (NRQCD) in conjunction with the Fragmenting Jet Function (FJF) and Gluon Fragmentation Improved Pythia (GFIP) formalisms. Similar to previous studies of production in jets, our results show that these formalisms offer a much better description of data than the default Pythia+NRQCD prediction. We compare and contrast the predictions from the FJF formalism and the GFIP approach. In addition, our results show that the distribution of in jets is an excellent discriminator to test different predictions for the LDMEs from various extractions. We find a large disparity between the predictions from three different collaborations, showing that a more precise extraction of the LDMEs may be necessary.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Quantum Chromodynamics and Particle Interactions · High-Energy Particle Collisions Research
