Monte Carlo campaign

[scarrazza]

This step is required in order to build a consistent dataset of MC distributions and parameter values for a reference tune performed with standard tools, e.g. Professor, and the for the future machine learning techniques which may require cross-validation implementation.

This step requires the implementation of:

• configuration cards for the MC run (pythia)
• storage of the events in this repository or in a git lfs repository depending on how large the dataset is.
• validate the results with plots (e.g. using yoda)

[scarrazza]

I have created a new repository for the MC runs at https://github.com/scarrazza/mcnntunes_data.
@mlazzarin could you please upload your runs there?

[mlazzarin]

@scarrazza Professor and Mcnntune require different directories structures and data formats. Should I upload the runs in both versions or just in the one ready to be used with mcnntune?

[scarrazza]

Yes, please upload both.

[mlazzarin]

Ok, I'm uploading the first dataset. The second and bigger one will be ready in a few days.

[scarrazza]

Perfect, thanks.