Data reduction utility to treat TOF reflectivity data. It is distributed with LAMP, but it was developed originally as a standalone IDL application and it can still be compiled and used without LAMP.
LAMP (Large Array Manipulation Program) is designed for the treatment of data obtained from neutron scattering experiments at the Institut Laue-Langevin. However, LAMP is now a more general purpose application which can be seen as a GUI-laboratory for data analysis based on the IDL language.
Pore3D is a software toolbox for quantitative analysis of three-dimensional images. The core of Pore3D consists in a set of state-of-the-art functions and procedures for performing filtering, segmentation, skeletonization and quantitative analysis of three-dimensional data. Although three-dimensional data can be produced by several techniques (for instance: magnetic resonance, x-ray scattering or confocal microscopy), the library was developed and optimized for micro-CT (Computed Tomography) data. Pore3D features are available through the high-level scripting environment IDL. Pore3D has been tested with IDL 64-bit from versions 6.4 to 8.5.
XOP (X-ray Oriented Programs) is a widget-based driver program used as a common front-end interface for modelling of x-ray sources characteristics of optical devices (mirror, filters, crystals, multilayers, etc.); multipurpose data visualizations and analyses
Quantitative estimate of elemental composition by spectroscopic and imaging techniques using X-ray fluorescence requires the availability of accurate data of X-ray interaction with matter. Although a wide number of computer codes and data sets are reported in literature, none of them is presented in the form of freely available library functions which can be easily included in software applications for X-ray fluorescence. This work presents a compilation of data sets from different published works and an xraylib interface in the form of callable functions. Although the target applications are on X-ray fluorescence, cross sections of interactions like photoionization, coherent scattering and Compton scattering, as well as form factors and anomalous scattering functions, are also available. xraylib provides access to some of the most respected databases of physical data in the field of X-rays. The core of xraylib is a library, written in ANSI C, containing over 40 functions to be used to retrieve data from these databases. This C library can be directly linked with any program written in C, C++ or Objective-C. Furthermore, the xraylib package contains bindings to several popular programming languages: Fortran 2003, Perl, Python, Java, IDL, Lua, Ruby, PHP and .NET, as well as a command-line utility which can be used as a pocket-calculator. Although not officially supported, xraylib has been reported to be useable from within Matlab and LabView. The source code is known to compile and run on the following platforms: Linux, Mac OS X, Solaris, FreeBSD and Windows. It is very likely that xraylib will also work on other platforms: we would be grateful if you would report your successes in this regard. Please note that not all of the bindings are currently working on all platforms. A paper was published concerning xraylib by A. Brunetti, M. Sanchez del Rio, B. Golosio, A. Simionovici and A. Somogyi, “A library for X-ray matter interaction cross sections for X-ray fluorescence applications”, Spectrochimica Acta B 59 (2004) 1725-1731. This paper was recently superseded by a new manuscript, covering all features of xraylib upto version 2.15.0, written by T. Schoonjans, A. Brunetti, B. Golosio, M. Sanchez del Rio, V. A. Solé, C. Ferrero and L. Vincze, named "The xraylib library for X-ray—matter interactions. Recent developments". You are kindly requested to include this paper in the reference list of your published work when you would decide to use xraylib for scientific purposes.
software package developed by the Antwerp X-ray Imaging/Instrumentation Laboratory (AXiL) at the University of Antwerp. Its main purpose is to automate the processing of two dimensional x-ray diffraction images from scanning micro-XRPD or micro-XRPD tomography. It accepts images from flat area detectors and allows correction, calibration and modeling (Rietveld, Pawley, Pattern Decomposition). The primary goal is to visualize crystalline phase distributions in projection (2D scanning) or in a virtual cross section (tomography) of the object under investigation. Apart from the amount of material, structural properties and their changes within the object can be calculated and visualized as well.
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