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0001 A Machine Learning Framework for Heavy-Flavor Analysis in the ePIC Experiment
0002 based on hipe4ml:https://doi.org/10.5281/zenodo.5070131
0003 Shyam Kumar; INFN Bari, Italy
0004 shyam.kumar@ba.infn.it; shyam055119@gmail.com
0005 Supported by The FAIR Spoke 6 Project, funded by the NextGenerationEU program in Italy
0006 Instructions to Run the code:
0007 1. Install hipe4ml
0008 pip install hipe4ml (Ubuntu) or brew install libomp (Mac)
0009 2. This requires signal and background features
0010 Run D0 reconstrcution for D0 Sample and DIS Sample
0011 Put the output root files in the directories: D0_Sample and DIS_Sample
0012 3. Go to the directory: ML_model_ePIC (I added the root files from ep 10x100, Q^2>1 GeV^2, Campaign: 25.04.1 as an example)
0013 source Run_ML_Shyam_withData.sh
0014
