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Draft: HHBBGG Data Driven Background Estimation for v2

Joshua George O'Cainrequested to merge
joocain/HiggsDNA:HHbbgg_DDBKGEST_v2 into HHbbgg_Updates

This PR implements in HiggsDNA the method for the data-driven estimation of processes with at least one fake photon. The logic of the method, along with its results, have been described in this presentation.This version has been updated to use v2 preselected MC and to include 2022preEE in addition to 2022postEE. A parquet file containing the events from the data-driven method can be produced with the command:

ipython3 scripts/DD_Estimate.py -- -i ${INPUTFILE} -o ${OUTPATH} --run_era ${Run_Era}

As an input file, the script takes HHbbgg yaml files, e.g. this. Due to the small changes between the v1 and v2 PDFs for 2022postEE, it is unlikely existing PDFs will recieve further updates. However, as 2023 and beyond is produced, we will add the PDFs accordingly. FYI @evourlio

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