Towards a Neural Network determination of Pion Fragmentation Functions

Valerio Bertone, Stefano Carrazza, Emanuele R. Nocera, Nathan P. Hartland, Juan Rojo

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

We present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our analysis isperformed at leading, next-to-leading and next-to-next-to-leading order inquantum chromodynamics. We discuss the result of our fits, highlighting thequality of their description of the data and their stability upon inclusion ofhigher-order corrections.
Original languageEnglish
Title of host publicationParton Radiation and Fragmentation from LHC to FCC-ee
EditorsDavid d'Enterria, Peter Z. Skands
Pages19-25
Number of pages7
Publication statusPublished - 2017

Fingerprint

fragmentation
pions
industrial plants
inclusions
methodology

Cite this

Bertone, V., Carrazza, S., Nocera, E. R., Hartland, N. P., & Rojo, J. (2017). Towards a Neural Network determination of Pion Fragmentation Functions. In D. d'Enterria, & P. Z. Skands (Eds.), Parton Radiation and Fragmentation from LHC to FCC-ee (pp. 19-25)
Bertone, Valerio ; Carrazza, Stefano ; Nocera, Emanuele R. ; Hartland, Nathan P. ; Rojo, Juan. / Towards a Neural Network determination of Pion Fragmentation Functions. Parton Radiation and Fragmentation from LHC to FCC-ee. editor / David d'Enterria ; Peter Z. Skands. 2017. pp. 19-25
@inproceedings{49f8e44935cc4176a2bb0628ec03c34c,
title = "Towards a Neural Network determination of Pion Fragmentation Functions",
abstract = "We present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our analysis isperformed at leading, next-to-leading and next-to-next-to-leading order inquantum chromodynamics. We discuss the result of our fits, highlighting thequality of their description of the data and their stability upon inclusion ofhigher-order corrections.",
author = "Valerio Bertone and Stefano Carrazza and Nocera, {Emanuele R.} and Hartland, {Nathan P.} and Juan Rojo",
year = "2017",
language = "English",
pages = "19--25",
editor = "David d'Enterria and Skands, {Peter Z.}",
booktitle = "Parton Radiation and Fragmentation from LHC to FCC-ee",

}

Bertone, V, Carrazza, S, Nocera, ER, Hartland, NP & Rojo, J 2017, Towards a Neural Network determination of Pion Fragmentation Functions. in D d'Enterria & PZ Skands (eds), Parton Radiation and Fragmentation from LHC to FCC-ee. pp. 19-25.

Towards a Neural Network determination of Pion Fragmentation Functions. / Bertone, Valerio; Carrazza, Stefano; Nocera, Emanuele R.; Hartland, Nathan P.; Rojo, Juan.

Parton Radiation and Fragmentation from LHC to FCC-ee. ed. / David d'Enterria; Peter Z. Skands. 2017. p. 19-25.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Towards a Neural Network determination of Pion Fragmentation Functions

AU - Bertone, Valerio

AU - Carrazza, Stefano

AU - Nocera, Emanuele R.

AU - Hartland, Nathan P.

AU - Rojo, Juan

PY - 2017

Y1 - 2017

N2 - We present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our analysis isperformed at leading, next-to-leading and next-to-next-to-leading order inquantum chromodynamics. We discuss the result of our fits, highlighting thequality of their description of the data and their stability upon inclusion ofhigher-order corrections.

AB - We present a first preliminary determination of a set of collinear fragmentationfunctions of charged pions based on the NNPDF methodology. This determination isbased on a wide set of single-inclusive annihilation data, including the mostrecent and precise measurements from B-factory experiments. Our analysis isperformed at leading, next-to-leading and next-to-next-to-leading order inquantum chromodynamics. We discuss the result of our fits, highlighting thequality of their description of the data and their stability upon inclusion ofhigher-order corrections.

M3 - Conference contribution

SP - 19

EP - 25

BT - Parton Radiation and Fragmentation from LHC to FCC-ee

A2 - d'Enterria, David

A2 - Skands, Peter Z.

ER -

Bertone V, Carrazza S, Nocera ER, Hartland NP, Rojo J. Towards a Neural Network determination of Pion Fragmentation Functions. In d'Enterria D, Skands PZ, editors, Parton Radiation and Fragmentation from LHC to FCC-ee. 2017. p. 19-25