Skip to main content

A phenomenological model of X-ray Free Electron Laser (XFEL) radiation and radiation statistics.

Project description

phenom

A phenomenological model of X-ray Free Electron Laser (XFEL) radiation.

The PHENOM python package is designed to provide a simple, robust and computationally efficient method for generating representations of the complex wavefield of X-ray Free Electron Laser pulses. By making use of approximate representations of pulse wavefront and spectra, phenom allows large ensembles of photon pulses with arbitrary statistics to be generated in a truly python-ised manner.

Getting Started

At the command line::

$ pip install phenom-xfel

To check that your instillation has worked, open iPython and try::

$ import phenom

Examples

Phenom has been designed to require minimal knowledge of the XFEL process prior to generating your first pulse.

  1. Getting Started
  2. Tutorials.
  3. Integrating with WPG.

More details on generating these pulses can be found in the documentation.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

phenom_xfel-0.0.4-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file phenom_xfel-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: phenom_xfel-0.0.4-py3-none-any.whl
  • Upload date:
  • Size: 14.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for phenom_xfel-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 81b680a1cbc2acd797c7f95c00244a77b011a144270333880596bb1dbf6276b9
MD5 4698370512d9dc5364c9889581fbaf9e
BLAKE2b-256 2ee5991d0558a49324b0c23eeb79bad713b37f78040b3884d5b6516651bfd891

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