Skip to main content

Utilities and API for accessing MCPL (.mcpl) files

Project description

MCPL - Monte Carlo Particle Lists

MCPL files, with extensions .mcpl and .mcpl.gz is a binary format for usage in physics particle simulations. It contains lists of particle state information, and can be used to interchange or reuse particles between various Monte Carlo simulation applications. The format itself is formally described in:

T. Kittelmann, et al., Monte Carlo Particle Lists: MCPL, Computer Physics Communications 218, 17-42 (2017), https://doi.org/10.1016/j.cpc.2017.04.012

All MCPL code is provided under the highly liberal open source Apache 2.0 license (http://www.apache.org/licenses/LICENSE-2.0), and further instructions and documentation can be found at https://mctools.github.io/mcpl/.

The mcpl package

Technically, the mcpl package is a meta-package which pulls in both mcpl-core and mcpl-python packages for installation. Advanced users needing only a subset of functionality might elect to install only one of those packages instead, however most users are simply recommended to install the mcpl package for convenience.

The utilities provided by this package thus include utilities for working with MCPL files, either via the command-line (the mcpltool and pymcpltool commands), or via dedicated APIs in C, C++, and python.

Scientific reference

Copyright 2015-2025 MCPL developers.

This software was mainly developed at the European Spallation Source ERIC (ESS) and the Technical University of Denmark (DTU). This work was supported in part by the European Union's Horizon 2020 research and innovation programme under grant agreement No 676548 (the BrightnESS project).

All MCPL files are distributed under the Apache 2.0 license, available at http://www.apache.org/licenses/LICENSE-2.0, as well as in the LICENSE file found in the source distribution.

A substantial effort went into developing MCPL. If you use it for your work, we would appreciate it if you would use the following reference in your work:

T. Kittelmann, et al., Monte Carlo Particle Lists: MCPL, Computer Physics Communications 218, 17-42 (2017), https://doi.org/10.1016/j.cpc.2017.04.012

Support for specific third party applications

Note that some users might also wish to additionally install the mcpl-extra package, which contains cmdline tools for converting between the binary data files native to some third-party Monte Carlo applications (currently PHITS and MCNP[X/5/6]). Users of Geant4 might wish to install the mcpl-geant4 package, which provides C++ classes (and CMake configuration code) for integrating MCPL I/O into Geant4 simulations. Finally, many Monte Carlo applications have directly integrated support for MCPL I/O into their codes. At the time of writing, the list of applications with known support from MCPL I/O includes:

  • McStas (built in)
  • McXtrace (built in)
  • OpenMC (built in)
  • Cinema/Prompt (built in)
  • VITESS (built in)
  • RESTRAX/SIMRES (built in)
  • McVine (built in)
  • MCNPX, MCNP5, MCNP6 (based on ssw2mcpl/mcpl2ssw from the mcpl-extra package)
  • PHITS (based on phits2mcpl/mcpl2phits from the mcpl-extra package)
  • Geant4 (based on C++/CMake code from the mcpl-geant4 package)

Note that instructions for installation and setup of third-party products like those listed above are beyond the scope of the MCPL project. Please refer to the products own instructions for more information.

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

mcpl-2.1.0.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

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

mcpl-2.1.0-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file mcpl-2.1.0.tar.gz.

File metadata

  • Download URL: mcpl-2.1.0.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mcpl-2.1.0.tar.gz
Algorithm Hash digest
SHA256 1b229f7047767db57ef69e43e5b18d3d0b60832b2d7d66b8bc687e481c352dbf
MD5 33265eb9d1ea82cb006cfb9c17d59358
BLAKE2b-256 4c0d89ddaa4754f4d21c69e64a1417e3c50e2b96657fe4e2593cb8340de3ae24

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcpl-2.1.0.tar.gz:

Publisher: pypi.yml on mctools/mcpl

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mcpl-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: mcpl-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mcpl-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 26838dc368acceab6c82f44c07218ce079c6a6b5fbeab7635244581ecf5e3fc9
MD5 1d84f95f82e605999cea7c11c74bd977
BLAKE2b-256 7260ad8a1c18f384e9640f36f8e567fde836bd345fd5584e37367ee321c6afb8

See more details on using hashes here.

Provenance

The following attestation bundles were made for mcpl-2.1.0-py3-none-any.whl:

Publisher: pypi.yml on mctools/mcpl

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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