科研速览 · Science Skim继续刷下去 · Keep skimming →
◆ Physical review. D/Physical review. D.2025-11-25· Physics

Pseudoscalar heavy-quarkonium hadroproduction from nonrelativistic fragmentation at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>NLL</mml:mi> <mml:mo>/</mml:mo> <mml:msup> <mml:mrow> <mml:mi>NLO</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>+</mml:mo> </mml:mrow> </mml:msup> </mml:mrow> </mml:math>

Francesco Giovanni Celiberto, Francesca Lonigro

原始摘要(英文原文)· Original abstract
We investigate the inclusive hadroproduction of pseudoscalar heavy quarkonia, η c and η b mesons, in high-energy proton collisions. Our framework is based on the single-parton collinear fragmentation within a variable-flavor number scheme, tailored to describe the moderate to large transverse momentum regime. To this end, we construct a new set of collinear fragmentation functions, denoted as , which evolve via standard Dokshitzer-Gribov-Lipatov-Altarelli-Parisi equations with a consistent treatment of flavor thresholds. Initial conditions for all parton-induced channels are computed using next-to-leading-order (NLO) nonrelativistic QCD. We perform our analysis within the next-to-leading logarithmic / NLO + hybrid factorization framework, employing the numerical interface together with the symbolic engine. These tools allow us to deliver predictions for high-energy observables sensitive to quarkonium final states at the 13 TeV LHC. To the best of our knowledge, the sets represent the first-ever release of collinear fragmentation functions for heavy quarkonia that consistently include all partonic channels within collinear factorization.
读原文 · Read the paper ↗

AI 追问PRO

登录后使用 AI 追问

讨论区

登录后参与讨论

相关论文 · Related

Pseudoscalar heavy-quarkonium hadroproduction from nonrelativistic fragmentation at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>NLL</mml:mi> <mml:mo>/</mml:mo> <mml:msup> <mml:mrow> <mml:mi>NLO</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>+</mml:mo> </mml:mrow> </mml:msup> </mml:mrow> </mml:math> — 科研速览 Science Skim