The NNPDF2.2 parton set
We present a method developed by the NNPDF Collaboration that allows the inclusion of new experimental data into an existing set of parton distribution functions without the need for a complete refit. A Monte Carlo ensemble of PDFs may be updated by assigning each member of the ensemble a unique wei...
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| Veröffentlicht in: | Journal of physics. Conference series 2012-01, Vol.368 (1), p.12063-6 |
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| container_title | Journal of physics. Conference series |
| container_volume | 368 |
| creator | Cerutti, F Hartland, N P |
| description | We present a method developed by the NNPDF Collaboration that allows the inclusion of new experimental data into an existing set of parton distribution functions without the need for a complete refit. A Monte Carlo ensemble of PDFs may be updated by assigning each member of the ensemble a unique weight determined by Bayesian inference. The reweighted ensemble therefore represents the probability density of PDFs conditional on both the old and new data. This method is applied to the inclusion of W-lepton asymmetry data into the NNPDF2.1 fit producing a new PDF set, NNPDF2.2. |
| doi_str_mv | 10.1088/1742-6596/368/1/012063 |
| format | Article |
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| identifier | ISSN: 1742-6596 |
| ispartof | Journal of physics. Conference series, 2012-01, Vol.368 (1), p.12063-6 |
| issn | 1742-6596 1742-6588 1742-6596 |
| language | eng |
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| source | IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Asymmetry Bayesian analysis Density Distribution functions Inclusions Leptons Monte Carlo methods Partons Physics Probability density functions Statistical inference |
| title | The NNPDF2.2 parton set |
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