scikit-hep / pylhe

Lightweight Python interface to read Les Houches Event (LHE) files

pylhe: Python LHE interface

Small and thin Python interface to read Les Houches Event (LHE) files

Install

To install pylhe from PyPI you can just do

python -m pip install pylhe

The visualization capabilities require the external dependency of Graphviz.

Get started

The example below provides a simple overview. Full functionality can be inspected from the functions provided in the pylhe module.

import itertools

# You can use LHE files from scikit-hep-testdata
from skhep_testdata import data_path

import pylhe

lhe_file = data_path("pylhe-testlhef3.lhe")
events = pylhe.read_lhe_with_attributes(lhe_file)
print(f"Number of events: {pylhe.read_num_events(lhe_file)}")

# Get event 1
event = next(itertools.islice(events, 1, 2))

# A DOT language graph of the event can be inspected as follows
print(event.graph.source)

# The graph is nicely displayed as SVG in Jupyter notebooks
event

# To save a DOT graph render the graph to a supported image format
# (refer to the Graphviz documentation for more)
event.graph.render(filename="test", format="png", cleanup=True)
event.graph.render(filename="test", format="pdf", cleanup=True)

Citation

The preferred BibTeX entry for citation of pylhe is

@software{pylhe,
  author = {Lukas Heinrich and Matthew Feickert and Eduardo Rodrigues},
  title = "{pylhe: v0.8.0}",
  version = {v0.8.0},
  doi = {10.5281/zenodo.1217031},
  url = {https://github.com/scikit-hep/pylhe},
}

Contributors

We hereby acknowledge the contributors that made this project possible (emoji key):

Matthew Feickert 🚧 🎨 💻 📖	Lukas 🚧 🎨 💻 📖	Eduardo Rodrigues 🚧 💻 📖	Johannes Schumann 💻	Henry Schreiner 💻	ariaradick 💻	Junghwan John Goh 💻
fuenfundachtzig 💻	Shantanu Gontia 💻	Tom Eichlersmith 💻	Alexander Puck Neuwirth 💻

This project follows the all-contributors specification.