pyedm4hep 0.1.1

A Python library for working with EDM4hep data, providing an object-oriented interface on top of Pandas DataFrames.

PyEDM4hep

PyEDM4hep is a Pythonic interface for EDM4hep event data, combining the power of Pandas DataFrames with an intuitive object-oriented API. It enables fast, flexible analysis of HEP event data stored in ROOT files, with seamless navigation between particles, hits, and decay trees.

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Features

• Object-oriented access to particles, hits, and calorimeter data
• Bulk operations via Pandas DataFrames for high performance
• ROOT file support using uproot
• Relationship navigation (parents, daughters, hits, decay trees)
• Built-in plotting for event overviews, decay trees, and kinematics
• Detector geometry awareness for realistic analysis
• Easy integration with Jupyter and scientific Python stack

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Installation

PyEDM4hep requires Python 3.8+ and can be installed via pip:

pip install pyedm4hep

Or from source:

git clone https://github.com/murnanedaniel/pyEDM4hep.git
cd pyEDM4hep
pip install .

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Quickstart

from pyedm4hep import EDM4hepEvent

# Define detector parameters (example values)
detector_params = {
    'tracking_radius': 1100.0,
    'tracking_z_max': 2500.0,
    'energy_threshold': 0.05
}

# Load an event from a ROOT file
file_path = 'path/to/events.root'
event = EDM4hepEvent(file_path, event_index=0, detector_params=detector_params)

# Access particles as a DataFrame
particles_df = event.get_particles_df()

# Work with a single particle
particle = event.get_particle(0)
print(particle.pdg, particle.pt, particle.vertex)

# Plot event overview
fig = event.plot.event_overview()
fig.suptitle("Event Overview")

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Documentation

• API Reference
• Examples & Tutorials

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Contributing

Contributions are welcome! Please see CONTRIBUTING.md for guidelines.

• Run tests with pytest.
• Ensure code coverage remains high.
• Document new features and update the changelog.

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License

This project is licensed under the MIT License. See LICENSE for details.

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Acknowledgments

• Built on top of EDM4hep and uproot.
• Inspired by the needs of the HEP analysis community.