LarchΒΆ

Larch is an open-source library and toolkit for processing and analyzing scientific data. Initially designed for X-ray spectroscopic and scattering data collected at modern synchrotron sources, Larch provides a wide selection of algorithms for processing such X-ray data. It also provides many tools for organizing complex data sets and processing and analyzing arrays of scientific data.

Larch is written in Python and relies heavily on the wonderful numpy, scipy, h5py, and matplotlib libraries. It can be used directly as a Python library, and it can be extended using Python. Larch also provides a Python-like language (a macro language, or domain specific language) that is intended to be very easy to use for novices while also being complete enough for advanced data processing and analysis. In addition, several GUIs are included with Larch for visualization and analysis of scientific data sets.

Larch has several related target application areas:

  • XAFS analysis, becoming version 2 of the Ifeffit Package for EXAFS analysis.
  • Visualizing and analyzing micro-X-ray fluorescence and X-ray diffraction maps.
  • Quantitative X-ray fluorescence analysis.
  • Data collection software for synchrotron data.

A key idea is that these otherwise different application areas can share many components and algorithms. Connecting these through a common macro language will strengthen the tools available for all of these areas. In addition, the macro language can provide a very shallow barrier for those interested in scripting the manipulation and analysis of their data, while providing a scripted, reproducible, and extensible analysis that can become the framework upon which new analysis tools can be built.

Currently, Larch provides a complete set of XAFS Analysis tools (replacing all of the Ifeffit package), has some support for visualizing and analyzing XRF and XRD maps, and has many extra tools for X-ray spectral analysis, data handling, and general-purpose data modeling. Larch is under active and open development, and has support from the U. S. National Science Foundation.