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Useful links
Technical
- SDF guide and documentation, particularly on using Jupyter notebooks interactively or through web interface (runs on top of nodes managed by SLURM)
- Training dataset dumper (used for producing h5 files from FTAG derivations) documentation and git (Prajita's fork, bjet_regression is the main branch)
- SALT documentation, SALT on SDF, puma git repo (used for plotting), and Umami docs (for postprocessing), also umami-preprocessing (UPP)
- SLAC GitLab group for plotting related code
- FTAG1 derivation definition (FTAG1.py)
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You can cut to the chase by doing conda activate upp, or follow the docs for straightforward installation.
To do the preprocessing to make the training, validation, and test sets, do:
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preprocess --config configs/bjr.yaml --split all |
Notes on logic of the preprocessing config files
There are several aspects of the preprocessing config that are not documented (yet). Most things are self explanatory, but note that:
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