First next-to-next-to-leading-order extraction of fragmentation functions for Lambda hyperons
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866917466552139776 |
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| author | Bertone, Valerio Bongallino, Alessia Chiefa, Amedeo Echevarria, Miguel G. Schnell, Gunar |
| author_facet | Bertone, Valerio Bongallino, Alessia Chiefa, Amedeo Echevarria, Miguel G. Schnell, Gunar |
| contents | 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 Lambda 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_05314 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | First next-to-next-to-leading-order extraction of fragmentation functions for Lambda hyperons Bertone, Valerio Bongallino, Alessia Chiefa, Amedeo Echevarria, Miguel G. Schnell, Gunar High Energy Physics - Phenomenology High Energy Physics - Theory Nuclear Theory 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 Lambda 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. |
| title | First next-to-next-to-leading-order extraction of fragmentation functions for Lambda hyperons |
| topic | High Energy Physics - Phenomenology High Energy Physics - Theory Nuclear Theory |
| url | https://arxiv.org/abs/2605.05314 |