BINoculars is a tool for data reduction and analysis of large sets of surface diffraction data that have been acquired with a 2D X-ray detector. The intensity of each pixel of a 2D-detector is projected onto a 3-dimensional grid in reciprocal lattice coordinates using a binning algorithm. This allows for fast acquisition and processing of high-resolution datasets and results in a significant reduction of the size of the dataset. The subsequent analysis then proceeds in reciprocal space. It has evolved from the specific needs of the ID03 beamline at the ESRF, but it has a modular design and can be easily adjusted and extended to work with data from other beamlines or from other measurement techniques.
CrystFEL is a suite of programs for processing diffraction data acquired "serially" in a "snapshot" manner, such as when using the technique of Serial Femtosecond Crystallography (SFX) with a free-electron laser source. CrystFEL comprises programs for indexing and integrating diffraction patterns, scaling and merging intensities, simulating patterns, calculating figures of merit for the data and visualising the results. Supporting scripts are provided to help at all stages, including importing data into CCP4 for further processing. [From: the Website]
FabIO is a Python library for reading and handling data from 2-D X-ray detectors. FabIO provides a function for reading any image and returning a FabioImage object which contains both metadata (header information) and raw data. All FabioImage objects offer additional methods to extract information about the image and open other detector images from the same data series.
The iFit library (pronounce [eye-fit]) is a set of methods to load, analyse, plot, fit and optimize models, and export results. iFit is based on Matlab, but can also be launched without Matlab license (stand-alone version).Matlab It does not currently include advanced graphical user interfaces (GUI), and rather focuses on doing the math right. Any text file can be imported straight away, and a set of binary files are supported. Any data dimensionality can be handled, including event based data sets (even though not all methods do work for these). Any model can be assembled for fitting data sets. Last, a number of routines are dedicated to the analyses of S(q,w) and S(alpha,beta). More advanced features include the full automation to compute phonon dispersions in materials, using DFT codes such as ABINIT, ELK, VASP, QuantumEspresso, GPAW and more (Models/sqw_phonons). The software can also compute the neutron TAS resolution function (4D) and fits to experimental data with full resolution convolution (ResLibCal). An interface for McStas and McXtrace is also available to automate and optimize instrument simulations.
Historically it is the job of the Control Client (CC) to write the data recorded during the experiment (this is true at least for low rate data-sources). However, with the appearance of complex data formats like Nexus the IO code becomes more complex. To cope with this complexity, NexDaTaS has been developed jointly by PNI-HDRI and PaNdata to provide an easy to use interface between the NeXus data integration and the control system. NexDaTaS is realized as a Tango server which allows to store NeXuS Data in H5 files. The server provides storing data from other Tango devices, various databases as well as passed by a user client via JSON strings.
NSXTool is an application for reducing neutron single crystal data. It provides algorithms for indexing, refining UB matrix and instrument parameters, integrating Bragg peaks for future analyses using software such as FullProf or ShelX. It is made of a core crystallographic library written in C++ (standard 2011) with dependencies on boost, eigen, gsl standard libraries and of a graphical user interface written in Qt.
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.
pyFAI is an azimuthal integration library that tries to be fast (as fast as C and even more using OpenCL and GPU). It is based on histogramming of the 2theta/Q positions of each (center of) pixel weighted by the intensity of each pixel, but parallel version uses a SparseMatrix-DenseVector multiplication
Python toolkit for accelerated Nano-structures Crystallography and Coherent X-ray Imaging techniques. The software included in this package can be used for: 1. the computing of X-ray scattering using graphical processing units 2. X-ray wavefield propagation (from near to far field) 3. simulation and GPU-accelerated analysis of experiments using the ptychography and coherent diffraction imaging techniques See the full documentation at: http://ftp.esrf.fr/pub/scisoft/PyNX/doc/
The silx project aims at providing a collection of Python packages to support the development of data assessment, reduction and analysis applications at synchrotron radiation facilities. The purpose is to deliver reading/writing of different file formats, data reduction routines and a set of Qt widgets to browse and visualize data.
SYRMEP Tomo Project (STP) has been developed for the users of the SYRMEP beamline of the Elettra synchrotron facility (http://www.elettra.eu) to perform the digital image processing required by parallel beam propagation-based phase contrast CT experiments. The underlying idea is to let users perform post-beamtime optimization, fine tuning and/or additional tests with common hardware at their home institution. The software has been also developed for teaching and educational purposes. SYRMEP Tomo Project is available only for Windows 64-bit machines.