Journal of Physics Conference Series· 2013
Larch: An Analysis Package for XAFS and Related Spectroscopies
- 525citations
- 2013year
Short summary
Larch, a Python-based rewrite of the ifeffit package, offers significant improvements for analyzing XAFS and related spectroscopies, particularly for large and multi-dimensional datasets.
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Key points
- Larch is a Python-based rewrite of the ifeffit package for XAFS and related spectroscopies.
- It preserves core analysis functionalities of ifeffit, including normalization, background subtraction, and spectral fitting.
- Key improvements over ifeffit include better handling of large/multi-dimensional data, scripting, visualization, and extensibility.
- Larch offers flexible execution modes: interactive, batch, and server-based access.
AI-generated from the title and abstract; the full text is not read.
Abstract
LARCH, a package of analysis tools for XAFS and related spectroscopies is presented. A complete rewrite of the ifeffit package, the initial release of larch preserves the core XAFS analysis procedures such as normalization, background subtraction, Fourier transforms, fitting of XANES spectra, and fitting of experimental spectra to a sum of feff Paths, with few algorithmic changes made in comparison to IFEFFIT. LARCH is written using Python and its packages for scientific programming, which gives significant improvements over IFEFFIT in the ability to handle multi-dimensional and large data sets, write complex analysis scripts, visualize data, add new functionality, and customize existing capabilities. Like the earlier version, larch can run from an interactive command line or in batch-mode, but larch can also be run as a server and accessed from clients using standard inter-process communication techniques available in a variety of computer languages. larch is freely available under an open source license. Examples of using larch are shown, future directions for development are discussed, and collaborations for adding new capabilities are actively sought.
The authors' abstract, as published at the source. Journal of Physics Conference Series, 2013 · DOI ↗
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Field: Radiation
RadiationPhysics and Astronomy