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update the xPDFsuite, PDFgetX3, and PDFgui pages
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products/pdfgetx3.rst

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as a standalone application or as a Python library of PDF-processing functions. *The
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software is free for open academic research, but requires paid license for commercial use.*
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PDFgetX3 is incorporated in the powerful end-to-end x-ray PDF analysis package xPDFsuite.
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Please see `here <xPDFsuite.html>`_ for more information. xPDFsuite is designed for flexible,
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high throughput PDF analyses and contains many features for interrogating, comparing and
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modeling data as well as simply doing data reduction.
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PDFgetX3-academic can be obtained from the
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`Columbia Technology Ventures <http://bit.ly/xPDFsuite>`_, provided it will
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be used for open academic research.
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The software is also included in `xPDFsuite <xPDFsuite.html>`_, which also provides
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an easy-to-use GUI for PDF transformation.
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* `Installation instructions <../doc/pdfgetx3/install.html>`_
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* `PDFgetX3 user manual <../doc/pdfgetx3/index.html>`__,
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`printable manual <../doc/pdfgetx3/PDFgetX3_manual.pdf>`__

products/pdfgui.rst

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derived from x-ray or neutron diffraction data
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and comes with built in graphical and structure visualization capabilities.
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PDFgui is incorporated in the powerful end-to-end x-ray PDF analysis package xPDFsuite.
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Please see `here <xPDFsuite.html>`_ for more information. xPDFsuite is designed for flexible,
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high throughput PDF analyses and contains many features for interrogating, comparing and
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modeling data as well as simply doing data reduction.
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.. figure:: ../images/PDFgui_screenshot_small.png
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:align: center

products/xPDFsuite.rst

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#########
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xPDFsuite
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#########
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##################################################################################################################
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xPDFsuite - an easy to use end-to-end software solution for atomic pair distribution function analysis with x-rays
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##################################################################################################################
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.. figure:: ../images/xPDFsuite.png
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:align: center
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Overview
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========
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This suite of algorithms and software, named xPDFsuite, converts X-ray diffraction (XRD) data into total scattering pair distribution functions by
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numerically transforming XRD data from frequency space into position space. This conversion allows characterization of materials including drugs and
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industrial materials in their amorphous and nanocrystalline and liquid states.
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This software implements a number of recent developments in the data analysis and modeling of PDFs derived from X-ray experiments which may be carried out
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at synchrotron or laboratory sources that allow for highly automated and straightforward processing. The software includes a full-featured graphical user
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interface and is designed for the latest generation of studies that involve often many hundreds or thousands of datasets. The software runs on laptops and
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workstations running windows, mac OSX and linux.
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This suite of algorithms and software, named xPDFsuite, is an easy to use graphical user interface (GUI) to a number of Diffpy programs.
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It provides a raw-data-to-modelled-PDF solution for X-ray PDFs. It is specially convenient for handling high throughput data with many
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(hundreds to thousands) of datatsets, such as come from modern synchrotron experiments with 2D detectors. It is equally useful for data
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from laboratory x-rays. The software runs on laptops and workstations running windows, mac OSX and linux.
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Within the same GUI you can:
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* visualize the 2D raw data from large numbers of files
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* integrate 2D data to 1D diffraction patterns
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* plot and manipulate plots of large numbers of patterns
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* rapidly and easily process the 1D data to obtain S(Q), F(Q) and G(r) (PDF) functions using the power of the PDFgetX3 engine
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* use the powerful interactive plotting capabilities to explore these reduced data functions
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* use built in tools for comparing datasets using Pearson correlations etc.
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* the widely used PDFgui PDF fitting program is also included in xPDFsuite and is straightforwardly incorporated into your workflow
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Features
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========
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Improving upon an earlier version of the software, xPDFsuite is programmed in Python instead of IDL (Interactive Data Language), making it more portable
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than its predecessor. The software also gives the user robust and reliable total scattering pair distribution functions by specifying a very small number
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of input parameters.
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Unlike other programs for obtaining the pair distribution function,
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the software is exceptionally easy to learn and use. This increases
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the range of people who can use it, decreases training costs, and
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speeding up workflow. xPDFsuite also permits users to run multiple
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data sets using the same input file, allowing for batch processing
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in fractions of a second.
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xPDFsuite is exceptionally easy to learn and use and lowers the barrier to using atomic pair distribution function (PDF) methods,
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increasing the range of people who can use it, decreasing training costs, and speeding up workflow. xPDFsuite permits users to run
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multiple data sets using the same input file, allowing for batch processing of large numbers of datasets in fractions of a second.
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Key features:
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* Full featured, easy-to-use GUI;
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* Real time PDF transformation and plotting;
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* Flexible plotting and analyzing for single and multiple data sets;
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* Optimized for high throughput data processing;
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* 2D powder diffraction image integration;
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* Static and dynamic mask editing on 2D image;
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* Pearson correlation analysis on selected data-sets;
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* Written in Python and support Windows, Linux, and MacOSX
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Applications
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============
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* Structural characterization of crystalline, nanocrystalline, amorphous or nanoparticle materials, including inorganics, polymers and pharmaceuticals.
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* materials development guidance
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* Testing of compounds to ensure consistency during development
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* Submission for federal agency (e.g., FDA) approval
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* Patent application filing
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* Intellectual property infringement defense
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* Stability studies, e.g., to determine shelf lifetime of drugs
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Advantages
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==========
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* First viable means of characterizing the structure of amorphous or nanocrystalline compounds
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* Yields information that makes the development of amorphous or nanocrystalline materials much more feasible
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* In contrast to earlier algorithms, the technology can compute the total scattering pair distribution function in several microseconds.
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Obtain the software
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===================
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The xPDFsuite is currently requires a paid license from Columbia University. The cost and terms depend on
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whether it is used in an academic or commercial setting. To obtain the software,
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please consult `Columbia Technology Ventures <http://bit.ly/xPDFsuite>`_
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or contact `Beth Kauderer <[email protected]>`_ at Columbia Technology Ventures
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and `Prof. Simon Billinge <[email protected]>`_ for more information.
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* Full featured, easy-to-use GUI
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* Real time PDF transformation and plotting
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* Flexible plotting and analysis for single and mulitple data sets
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* Optimized for high throughput data processing
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* 2D powder diffraction image integration
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* Static and dynamic mask editing on 2D image
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* Pearson correlation analysis on selected data-sets
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* Written in Python and on Windows, Linux, and MacOSX
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Explore xPDFsuite
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=================
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xPDFsuite is available for purchase for either academic or commercial applications.
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- To see xPDFsuite in action, please see the video here. (available soon)
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- To help you explore xPDFsuite on your own data we have made a free evaluation version of the software available `here <http://bit.ly/xPDFsuite>`_. This has all the xPDFsuite functionality, but you will not be able to save your results.
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- To purchase xPDFsuite (separate academic and commercial license options), please go to `Columbia Technology Ventures <http://bit.ly/xPDFsuite>`_ download site here.
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Thank you for purchasing xPDFsuite. Funds we raise from sales help us to develop user interfaces and useful features on top of our
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free for academics and open source Diffpy products, such as Diffpy-CMI, PDFgetX3 and PDFgui.
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We hope you enjoy xPDFsuite and that it supercharges your PDF analyses. Please contact us with feedback and questions by
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emailing `Prof. Simon Billinge <[email protected]>`_

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