heparchy

Hierarchical database storage and access for high energy physics event data.

Docstrings are available, markdown documentation coming soon.

Installation

pip install heparchy

Features

• Fast and efficient storage
• Writes and reads from HDF5 files
• Data stored hierarchically
  • Files contain processes
  • Processes contain events
  • Events contain datasets for the final state particles
• Process level metadata can be attached
• Context managers provide access to these containers

Data writing interface

Process

• Metadata writing methods:
  • string(): MadGraph formatted string, ie. p p > t t~
  • decay(): pdgids of incoming and outgoing particles for the hard event
  • com_energy()
  • signal_id(): pdgid of the particle of interest in the hard event
  • custom(): extend with your own key / value metadata pair for the process

Events

• Data writing methods for final state particles:
  • pmu(): 2d numpy array of 4-momenta, each row [px, py, pz, e]
  • pdg(): pdgids
  • is_signal(): boolean tags identifying if particle constituent of signal
  • custom(): extend with your own key / value dataset pair for the event

Coming soon

• Direct interface from HepMC files to HDF5 format
• Jupyter notebook examples
• Pip installation script

Warning: before the first release, the read interface may change to improve consistency with the write interface.

Breaking changes will be avoided following the iminent release of 1.0.0.