cms-jet / PFNano
NanoAOD framework for testing jet algorithms.
☆7Updated 9 months ago
Alternatives and similar repositories for PFNano:
Users that are interested in PFNano are comparing it to the libraries listed below
- Library for getting your data into HEPData☆16Updated 2 months ago
- RestFrames: particle physics event analysis library☆10Updated 4 years ago
- Python Package of the CMS Machine Learning Group☆19Updated 4 months ago
- Symmetry Preserving Attention Networks for Event Reconstruction☆39Updated last month
- Tutorials for CMS analysis in scientific Python☆13Updated 4 years ago
- Knowledge Base for Jet Physics at the LHC☆11Updated 4 years ago
- A generic correction library☆16Updated last week
- CMS ML Documentation☆19Updated 4 months ago
- Physical pdfs and more to extend zfit☆10Updated last month
- A dask-jobqueue plugin for the LPC Condor queue☆13Updated 3 months ago
- Jet tagging in the Lund plane with graph networks☆8Updated 3 years ago
- Lightweight Python interface to read Les Houches Event (LHE) files☆42Updated 2 weeks ago
- Slim configuration framework for Coffea based analysis on CMS NanoAOD events☆15Updated this week
- Units and constants in the HEP system of units☆27Updated this week
- ☆15Updated last week
- ☆15Updated this week
- FNAL LPC Machine Learning HATS☆18Updated last month
- Docker image for MadGraph5_aMC@NLO☆19Updated last year
- Tools for working with NanoAOD (requiring only python + root, not CMSSW)☆44Updated last year
- ATLAS style for matplotlib☆14Updated 3 weeks ago
- Repository dedicated to AGC preparations & execution☆25Updated 2 months ago
- A package for event file analysis and recasting of LHC results☆22Updated last week
- Pythonic class collection that helps you structure external data from LHC / HEP experiments.☆11Updated last week
- Easy-to-use Python bindings for HepMC3☆22Updated last week
- Jet-finding in the Scikit-HEP ecosystem.☆23Updated this week
- A list of example analysis challenges and solved implementations of them in various languages☆13Updated 10 months ago
- Machine-learned, GPU-accelerated particle flow reconstruction☆27Updated this week
- ☆18Updated 2 weeks ago
- design and steer profile likelihood fits☆30Updated last week
- For developing and reproducing ML + HEP projects.☆22Updated 3 weeks ago