Skip to main content

Accelerator, radiation and x-ray optics simulation framework

Project description

Accelerator, radiation and x-ray optics simulation framework

Ocelot

Ocelot is an open-source multiphysics simulation toolkit for accelerator physics. It is designed to model Free Electron Lasers (FELs), storage rings, and transport lines using a modular and scriptable Python interface.


Features

Ocelot provides:

  • A modular framework for beam dynamics simulations (tracking, optics, matching)
  • Physics processes including:
    • Space charge
    • Coherent synchrotron radiation (CSR)
    • Wakefields
    • and many more
  • A framework for FEL-related studies and synchrotron calculation
  • Jupyter-based interactive tutorials for education and development

Getting Started

For requirements and installation instructions, see the official guide: 👉 Installation & Setup

To explore tutorials, visit: 👉 Tutorial Overview 👉 Student-Friendly Introduction


Core Modules & API Reference

Ocelot's core functionality is organized into key modules:

📘 Lattice Elements & Design

  • Elements - Lattice element definitions (dipoles, quadrupoles, cavities, etc.)
    • OpticElement, Element, Magnet - Base classes with inheritance hierarchy
    • Drift, Bend, RBend, SBend, Quadrupole, Sextupole, Octupole
    • Cavity, TDCavity, Undulator, Marker, Monitor, Aperture

🔬 Beam Physics & Tracking

  • Beam - Beam models and particle arrays
    • Beam, Twiss - Beam envelopes and Twiss parameters
    • ParticleArray, Particle - Individual particle tracking
    • generate_parray(), ellipse_from_twiss() - Beam generation utilities

🎯 Tracking & Optics

  • Tracking - Particle and beam tracking algorithms
  • Optics - Optics calculations and transfer maps
    • MagneticLattice - Core lattice object for simulations
    • Navigator - Lattice navigation utilities

⚡ Physics Processes

🔧 Advanced Features


We welcome feedback, contributions, and new ideas

Disclaimer: The OCELOT code comes with absolutely NO warranty. The authors of the OCELOT do not take any responsibility for any damage to equipments or personnel injury that may result from the use of the code.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ocelot_collab-26.6.0.tar.gz (1.4 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ocelot_collab-26.6.0-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file ocelot_collab-26.6.0.tar.gz.

File metadata

  • Download URL: ocelot_collab-26.6.0.tar.gz
  • Upload date:
  • Size: 1.4 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for ocelot_collab-26.6.0.tar.gz
Algorithm Hash digest
SHA256 54f982e38f8cf23bab680b399395e413b0055a316dec321152c90b09078ba753
MD5 ab93833f0270094467ff5ada48cb317a
BLAKE2b-256 1946c3110f72ba212196540c59f3e5153cdc368c5596a50d04f6d508af83c476

See more details on using hashes here.

File details

Details for the file ocelot_collab-26.6.0-py3-none-any.whl.

File metadata

  • Download URL: ocelot_collab-26.6.0-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for ocelot_collab-26.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f9e5451a32c062f1c081571cd4df236d086f0346f0218ba207425de27515a881
MD5 ad46ae1d3f146d1588cbad3dda39899b
BLAKE2b-256 930556d35ba7e53a8329555e77e4fa4c83da45dd4792e871d53fb984e049ccdd

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page