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GENIE-MC / Generator

The popular GENIE Generator product is used by nearly all accelerator neutrino experiments and it plays a key role in the exploitation of neutrino data. The Generator implements a modern software framework and it includes state-of-the-art physics modules. It captures the latest results of the GENIE global analysis of neutrino scattering data and includes several tunes that were produced using the proprietary Comparisons and Tuning products. The GENIE physics model is universal and comprehensive: It handles all neutrinos and targets, and all processes relevant from MeV to PeV energy scales. The Generator includes several tools (flux drivers, detector geometry navigators, specialized event generation apps, event reweighting engines) to simulate complex experimental setups in full detail and to support generator-related analysis tasks.
http://www.genie-mc.org
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Develop/emres form factors #236

Closed jtenavidal closed 1 year ago

jtenavidal commented 1 year ago

This pull request is based on the discussion by Afroditi at the GENIE Forum: https://genie-docdb.pp.rl.ac.uk/DocDB/0003/000334/005/Papadopoulou_GENIE_Core_Oct_10_2022.pdf

The main idea is that as it is now, the Form Factors used in EM mode come from a neutrino prescription. This might be problematic, so I use the alternative dipole form factors instead.

I noticed an additional potential issue - for EM the correction factor for the form factors should be different according to: https://genie-docdb.pp.rl.ac.uk/DocDB/0003/000334/005/tn260.pdf

This is now implemented

dytman commented 1 year ago

please keep in mind that dipole approximation for a nucleon->resonance transition is terrible, in fact worse than what Rein-Sehgal provides. I need to know more about what Afro did before this can be approved.

jtenavidal commented 1 year ago

The code has been tested. The results are sumarised here: https://genie-docdb.pp.rl.ac.uk/DocDB/0003/000355/001/EMRES_impact.pdf

jtenavidal commented 1 year ago

@dytman suggested to plot the impact of this change against e-N inclusive data: https://genie-docdb.pp.rl.ac.uk/cgi-bin/private/ShowDocument?docid=362 It can be seen that this change affects the inclusive cross section prediction.

It is important to keep in mind that this pull request only changes the configuration - it does not affect the code itself.