Implement generators for nDIS processes #160
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Remember to run |
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Maybe you want to have #199 in? (that's why I just merged it) |
Done 😃
Thanks! Just merged it. This is also ready to be reviewed/merged. |
Co-authored-by: Felix Hekhorn <[email protected]>
Radonirinaunimi
changed the title
extras/data/CHORUSPb/metadata.yaml
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| CHORUS_CC_NU_PB_SIGMARED: | ||
| description: CHORUS reduced cross section neutrino-nucleon scattering on lead | ||
| nnpdf_id: CHORUSNUPb | ||
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| CHORUS_NU_PB: |
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It is to make sure that the grids are generated assuming
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should it then not be called EL_P or similar?
extras/data/BCDMS/metadata.yaml
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| description: BCDMS NC nuclear data | ||
| nnpdf_id: BCDMS85FeD | ||
| y_label: F2p | ||
| y_label_tex: $F_{2,\mathrm{tot}}^{(\mathrm{p})}$ |
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I guess you want to reflect more information here
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Yes, this along with the references below, are still something I have to properly add later (during some free time 🙃 ).
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are there no references?
giacomomagni
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datatoolchain
The following implements and tracks the$b$ -threhsold). The computation of the corresponding pineapplgrids will be tracked in https://github.com/NNPDF/fktables/issues/34 while the overall status of the benchmarking comparisons will be tracked in NNPDF/pinecards#162.
observable.yamlgenerators for both the NC & CC nDIS processes included in the nuclear PDF fits (taking into account the displacedCC Datasets:
CC Datasets:
PS: After some thinking, I believe that this is currently the best place to generate these
observable.yamlas the changes required wrt to the already existing datasets are minimal.