How important are next-to-leading order models in predicting strange particle spectra in p+p collisions at STAR ?
Mark Heinz (for the STAR Collaboration)

TL;DR
This paper evaluates the effectiveness of next-to-leading order (NLO) perturbative QCD models in predicting strange particle spectra in proton-proton collisions at 200 GeV, highlighting the importance of flavor-separated fragmentation functions.
Contribution
It demonstrates the application of recently parameterized flavor-separated fragmentation functions in NLO calculations for strange baryons and compares these with STAR data to constrain gluon fragmentation functions.
Findings
NLO models with flavor-separated FF can describe strange baryon spectra.
PYTHIA requires significant tuning to match strange particle data.
Observed baryon-to-meson ratio enhancement at intermediate pT is not captured by default PYTHIA.
Abstract
STAR has measured a variety of strange particle species in p + p collisions at = 200 GeV. These high statistics data are ideal for comparing to existing leading- and next-to-leading order perturbative QCD (pQCD) models. Next-to-leading (NLO) models have been successful in describing inclusive hadron production using parameterized fragmentation functions (FF) for quarks and gluons. However, in order to describe identied strange particle spectra at NLO, knowledge of flavor separated FF is essential. Such FF have recently been parameterized using data by the OPAL experiment and allow for the first time to perform NLO calculation for strange baryons. In fact, comparing the STAR Lambda data with these calculations allow to put a constraint on the gluon fragmentation function. We show that the Leading-order (LO) event generator PYTHIA has to be tuned significantly to reproduce the…
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