Package xrt (XRayTracer) is a python software library for ray tracing and wave
propagation in x-ray regime. It is primarily meant for modeling synchrotron
sources, beamlines and beamline elements. Includes a GUI tool for creating
Features of xrt
- Rays and waves. Classical ray tracing and wave propagation via Kirchhoff
integrals, also freely intermixed. No further approximations, such as thin
lens or paraxial. The optical surfaces may have figure errors, analytical or
measured. In wave propagation, partially coherent radiation is treated by
incoherent addition of coherently diffracted fields generated per electron.
- Publication quality graphics. 1D and 2D position histograms are
simultaneously coded by hue and brightness. Typically, colors represent
energy and brightness represents beam intensity. The user may select other
quantities to be encoded by colors: angular and positional distributions,
various polarization properties, beam categories, number of reflections,
incidence angle etc. Brightness can also encode partial flux for a selected
polarization and incident or absorbed power. Publication quality plots are
provided by matplotlib with image formats PNG, PostScript, PDF and SVG.
- Unlimited number of rays. The colored histograms are cumulative. The
accumulation can be stopped and resumed.
- Parallel execution. xrt can be run in parallel in several threads or
processes (can be opted), which accelerates the execution on multi-core
computers. Alternatively, xrt can use the power of GPUs via OpenCL for
running special tasks such as the calculation of an undulator source or
performing wave propagation.
- Scripting in Python. xrt can be run within Python scripts to generate a
series of images under changing geometrical or physical parameters. The image
brightness and 1D histograms can be normalized to the global maximum
throughout the series.
- Synchrotron sources. Bending magnet, wiggler, undulator and elliptic
undulator are calculated internally within xrt. There is also a legacy
approach to sampling synchrotron sources using the codes
which are parts of XOP package. Please look the section “Comparison of
synchrotron source codes” for the comparison between the implementations. If
the photon source is one of the synchrotron sources, the total flux in the
beam is reported not just in number of rays but in physical units of ph/s.
The total power or absorbed power can be opted instead of flux and is
reported in W. The power density can be visualized by isolines. The magnetic
gap of undulators can be tapered. Undulators can be calculated in near field.
Custom magnetic field is also possible. Undulators can be calculated on GPU,
with a high gain in computation speed, which is important for tapering and
near field calculations.
- Shapes. There are several predefined shapes of optical elements implemented
as python classes. The inheritance mechanism simplifies creation of other
shapes. The user specifies methods for the surface height and the surface
normal. For asymmetric crystals, the normal to the atomic planes can be
additionally given. The surface and the normals are defined either in local
(x, y) coordinates or in user-defined parametric coordinates. Parametric
representation enables closed shapes such as capillaries or wave guides. It
also enables exact solutions for complex shapes (e.g. a logarithmic spiral)
without any expansion. The methods of finding the intersections of rays with
the surface are very robust and can cope with pathological cases as sharp
surface kinks. Notice that the search for intersection points does not
involve any approximation and has only numerical inaccuracy which is set by
default as 1 fm. Any surface can be combined with a (differently and variably
oriented) crystal structure and/or (variable) grating vector. Surfaces can be
- Energy dispersive elements. Implemented are crystals in dynamical
diffraction, gratings (also with efficiency calculations), Fresnel zone
plates, Bragg-Fresnel optics and multilayers in dynamical diffraction.
Crystals can work in Bragg or Laue cases, in reflection or in transmission.
The two-field polarization phenomena are fully preserved, also within the
Darwin diffraction plateau, thus enabling the ray tracing of crystal-based
- Materials. The material properties are incorporated using three different
tabulations of the scattering factors, with differently wide and differently
dense energy meshes. Refractive index and absorption coefficient are
calculated from the scattering factors. Two-surface bodies, such as plates or
refractive lenses, are treated with both refraction and absorption.
- Multiple reflections. xrt can trace multiple reflections in a single
optical element. This is useful, for example in ‘whispering gallery’ optics
or in Montel or Wolter mirrors.
- Non-sequential optics. xrt can trace non-sequential optics where different
parts of the incoming beam meet different surfaces. Examples of such optics
are poly-capillaries and Wolter mirrors.
- Singular optics. xrt correctly propagates vortex beams, which can be used
for studying the creation of vortex beams by transmissive or reflective
- Global coordinate system. The optical elements are positioned in a global
coordinate system. This is convenient for modeling a real synchrotron
beamline. The coordinates in this system can be directly taken from a CAD
library. The optical surfaces are defined in their local systems for the
- Beam categories. xrt discriminates rays by several categories:
dead. This distinction simplifies the adjustment of
entrance and exit slits. An alarm is triggered if the fraction of dead rays
exceeds a specified level.
- Portability. xrt runs on Windows and Unix-like platforms, wherever you can
- Examples. xrt comes with many examples; see the galleries, the links are at
the top bar.
xrtQook – a GUI for creating scripts
The main interface to xrt is through a python script. Many examples of such
scripts can be found in the supplied folder ‘examples’. The script imports the
modules of xrt, instantiates beamline parts, such as synchrotron or geometric
sources, various optical elements, apertures and screens, specifies required
materials for reflection, refraction or diffraction, defines plots and sets job
The Qt tool xrtQook takes these ingredients and prepares a ready to use script
that can be run within the tool itself or in an external Python context.
xrtQook features a parallelly updated help panel that, unlike the main
documentation, provides a complete list of parameters for the used classes,
also including those from the parental classes. xrtQook writes/reads the
recipes of beamlines into/from xml files.
numpy, scipy matplotlib are required. If you use OpenCL for calculations on GPU
or CPU, you need AMD/NVIDIA drivers, Intel CPU only OpenCL runtime (these
are search key words), pytools and pyopencl. Spyderlib (the foundation of
Spyder IDE) is highly recommended for nicer view of xrtQook.
Python 2 and 3
The code can run in both Python branches without any modification.
TODO: Brief introduction on what you do with files - including link to relevant help section.