First next-to-next-to-leading-order extraction of fragmentation functions for Λ hyperons
4 affiliations
- 1Université Paris-Saclay, CEA, IRFU
- 2University of the Basque Country (EHU)
- 3University of Edinburgh, JCMB, KB
- 4IKERBASQUE, Basque Foundation for Science
Abstract
A bstract : We present MAPFF1.0_Lambda, the first global analysis at next-to-next-to-leading order in perturbative QCD of the collinear unpolarised fragmentation functions of Λ hyperons. The fit is based on data from single-inclusive electron-positron annihilation, and from both neutral-current and — for the first time — charged-current semi-inclusive deep-inelastic scattering. We have adopted a statistical framework based on Monte Carlo sampling and parametrised fragmentation functions in terms of a neural network. The fragmentation function set comprises a total of seven independent parton flavours, allowing for the first independent determination of valence-quark distributions. Our analysis offers new insights into the hadronisation mechanism of strange baryons and establishes a baseline for future phenomenological and experimental investigations.
Versions
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BibTeX
@article{bertone2026first,
title = {{First next-to-next-to-leading-order extraction of fragmentation functions for Λ hyperons}},
author = {Valerio Bertone and Alessia Bongallino and Amedeo Chiefa and Miguel G. Echevarría and Gunar Schnell},
journal = {Journal of High Energy Physics},
year = {2026},
month = oct,
doi = {10.1007/jhep10(2026)089},
url = {https://link.springer.com/10.1007/JHEP10(2026)089},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - First next-to-next-to-leading-order extraction of fragmentation functions for Λ hyperons
AU - Valerio Bertone
AU - Alessia Bongallino
AU - Amedeo Chiefa
AU - Miguel G. Echevarría
AU - Gunar Schnell
PY - 2026
DA - 2026/10/08
JO - Journal of High Energy Physics
DO - 10.1007/jhep10(2026)089
UR - https://link.springer.com/10.1007/JHEP10(2026)089
AB - A bstract : We present MAPFF1.0_Lambda, the first global analysis at next-to-next-to-leading order in perturbative QCD of the collinear unpolarised fragmentation functions of Λ hyperons. The fit is based on data from single-inclusive electron-positron annihilation, and from both neutral-current and — for the first time — charged-current semi-inclusive deep-inelastic scattering. We have adopted a statistical framework based on Monte Carlo sampling and parametrised fragmentation functions in terms of a neural network. The fragmentation function set comprises a total of seven independent parton flavours, allowing for the first independent determination of valence-quark distributions. Our analysis offers new insights into the hadronisation mechanism of strange baryons and establishes a baseline for future phenomenological and experimental investigations.
SN - 1029-8479
ER -