Speaker
Description
Package ParSeq is a python software library for _Parallel execution of _Sequential data analysis. It implements a general analysis framework that consists of transformation nodes – intermediate stops along the analysis propagation to visualize data, display status and provide user input – and transformations that connect the nodes. It provides an adjustable data model (a collection of data objects that supports grouping, renaming, moving and drag-and-drop actions), tunable data format definitions, plotters for 1D, 2D and 3D data, cross-data analysis routines and flexible widget work space suitable for single- and multi-screen computers. It also defines a structure of Python modules to implement particular analysis pipelines as relatively lightweight Python packages.
ParSeq is intended for synchrotron based techniques, first of all spectroscopy.
In this contribution, I present the basic ideas about the analysis framework, go through the list of centralized facilities (data import/export, plotting, project saving/restoring, undo, dynamically built html help pages etc) and show examples of a few ready pipelines for XAS, XES and XRD.
The main ParSeq package and a few analysis ParSeq pipelines are available on GitHub [github.com/kklmn/ParSeq]. Its online documentation can be viewed on parseq.readthedocs.io .
Fig 1. A screenshot of ParSeq-XAS (an EXAFS analysis pipeline, github.com/kklmn/ParSeq-XAS) as an application example that builds on top of ParSeq framework. The XAS pipeline itself is a relatively lightweight package of less than 2500 lines; it includes all standard EXAFS analysis steps up to EXAFS FT/BFT with atomic shell fitting.
| I plan to submit also conference proceedings | Yes |
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