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0001 # A Machine Learning Framework for Heavy-Flavor Analysis in the ePIC Experiment
0002
0003 Supported by The FAIR Spoke 6 Project, funded by the NextGenerationEU program in Italy
0004
0005 based on hipe4ml:https://doi.org/10.5281/zenodo.5070131
0006
0007 Shyam Kumar; INFN Bari, Italy
0008 shyam.kumar@ba.infn.it; shyam055119@gmail.com
0009
0010 ```
0011 Instructions to Run the code:
0012 1. Install hipe4ml
0013 pip install hipe4ml (Ubuntu) or brew install libomp (Mac)
0014 2. This requires signal and background features
0015 Run D0 reconstruction for D0 Sample and DIS Samples
0016 Put the output root files in the directories: D0_Sample and DIS_Sample
0017 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)
0018 source Run_ML_withData.sh
0019 ```
