Metadata-Version: 1.1
Name: xrt
Version: 1.0.0
Summary: Ray tracing and wave propagation in x-ray regime, primarily meant for modeling synchrotron beamlines and beamline elements
Home-page: http://pythonhosted.org/xrt
Author: ('Konstantin Klementiev', 'Roman Chernikov')
Author-email: first DOT last AT gmail DOT com
License: MIT License
Description: 
        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.
        
        Features of xrt
        ---------------
        
        * *Rays and waves*. Classical ray tracing and :ref:`wave propagation <waves>`
          via Kirchhoff integrals, also freely intermixed. No further approximations,
          such as thin lens or paraxial. The optical surfaces may have :ref:`figure
          errors, analytical or measured<warping>`. In wave propagation, partially
          coherent radiation is treated by incoherent accumulation 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 <http://matplotlib.org>`_ with image formats PNG,
          PostScript, PDF, SVG.
        
        * *Unlimited number of rays*. The colored histograms are *cumulative*. The
          accumulation can be stopped and resumed.
        
        * *Parallel execution*. xrt can be run :ref:`in parallel <tests>` 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.
        
        * :ref:`Synchrotron sources <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
          `ws` and `urgent` which are parts of XOP package. Please look the section
          :ref:`comparison-synchrotron-sources` 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 :ref:`tapered <tapering_comparison>`.
          Undulators can be calculated in :ref:`near field <near_field_comparison>`.
          Undulators can be :ref:`calculated on GPU <calculations_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
          faceted.
        
        * *Energy dispersive elements*. Implemented are :meth:`crystals in dynamical
          diffraction <xrt.backends.raycing.materials.Crystal.get_amplitude>`,
          gratings (also with efficiency calculations), Fresnel zone plates,
          Bragg-Fresnel optics and :meth:`multilayers in dynamical diffraction
          <xrt.backends.raycing.materials.Multilayer.get_amplitude>`. 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 phase
          retarders.
        
        * *Materials*. The material properties are incorporated using :class:`three
          different tabulations <xrt.backends.raycing.materials.Element>` of the
          scattering factors, with differently wide and differently dense energy
          meshes. Refraction 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 :ref:`poly-capillaries<polycapillary>` and Wolter mirrors.
        
        * *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
          user's convenience.
        
        * *Beam categories*. xrt discriminates rays by several categories: `good`,
          `out`, `over` and `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
          run python.
        
        * *Examples*. xrt comes with many examples; see the galleries, the links are at
          the top bar.
        
        Dependencies
        ------------
        :mod:`numpy`, :mod:`scipy` and :mod:`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), :mod:`pytools`
        and :mod:`pyopencl`.
        
        Python 2 and 3
        --------------
        The code can run in both Python branches without any modification.
        
Platform: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
