Speaker
Description
We report progress on the Heavy-Flavor Non-Relativistic Evolution (HF-NRevo) setup, a novel methodology to address leading-power fragmentation of hadrons containing one or more heavy quarks at moderate to large transverse momentum. As a first step, we focus on heavy quarkonia, building on Non-Relativistic QCD (NRQCD) next-to-leading-order calculations for all parton fragmentation channels to vector states such as $J/\psi$ and $\Upsilon$, as well as pseudoscalar states $\eta_c$ and $\eta_b$, which we take as proxies for initial-scale inputs. A complete set of variable-flavor number scheme fragmentation functions, named NRFF1.0, is then built through standard DGLAP evolution. Statistical uncertainties are assessed via a Monte Carlo, replica-like approach that also accounts for Missing Higher-Order Uncertainties (MHOUs). The link between the NRFF1.0 and MCscales approaches will be discussed. Finally, we highlight the use of HF-NRevo to study the collinear fragmentation of singly and doubly heavy-flavored hadrons in jets.
