phenom-xfel 0.1.0

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

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.

Citation:

The use of this package and the methods applied therein should be acknowledged using the following citation:

• Guest, T. W., R. Bean, R. Kammering, G. van Riessen, A. P. Mancuso, and B. Abbey. “A Phenomenological Model of the X-Ray Pulse Statistics of a High-Repetition-Rate X-Ray Free-Electron Laser.” IUCrJ 10, no. 6 (November 1, 2023). https://doi.org/10.1107/S2052252523008242.

Cited By:

Below is a list of research which have acknowledged the application of this model

• E, Juncheng, Carsten Fortmann-Grote, Trey Guest, Egor Sobolev, Luca Gelisio, Richard Bean, and Adrian P. Mancuso. “SimEx-Lite: Easy Access to Start-to-End Simulation for Experiments at Advanced Light Sources.” In Advances in Computational Methods for X-Ray Optics VI, edited by Oleg Chubar and Takashi Tanaka, 22. San Diego, United States: SPIE, 2023. https://doi.org/10.1117/12.2677299.