| Larch: Data Analysis Tools for X-ray Spectroscopy

# 2. Getting Started with Larch

Larch provides several tools for working with X-ray spectroscopy data. First, Larch has a few GUI applications, especially `Larix`, `GSE XRM MapViewer`, and `LarchXRF` for working with X-ray spectroscopy data. Second, Larch provides a Python programming library that includes (or, at least aims to include) all the functionality needed for visualizing, processing, and analyzing X-ray Absorption and Fluorescence spectroscopy data. The GUIs are all built on top of this Python library.

## 2.1. First, install Larch

If you are new to Larch, we recommend installing using the binary installer for your operating system listed in the Table of Larch Installers. If you are familiar with Python and want to use Larch as a library see Downloading and Installation for other ways to install Larch into your existing Python environment.

## 2.2. Second, use Larix (was XAS Viewer) and/or GSE MapViewer

Note

Instructional videos for using Larix are at Larch For XAFS Analysis (youtube.com).

The Larix (was XAS Viewer) Graphical User Interface program provides a complete set of tools for the visualization, processing, and analysis of XAS data, Both XANES and and EXAFS data processing and fitting are supported.

Larix aims to be a complete (or nearly so) replacement for Athena and Artemis programs. There are several improvements in graphics and handling of large data sets, and some improvements in XAFS data processing too. In particular, For XANES analysis, Larix includes more robust tools for peak-fitting, and machine-learning methods such as Principal Component Analysis, Partial Least Squares and LASSO regression.

Larix provides graphical user interface tools for running Feff to to simulate EXAFS \(\chi(k)\) spectra. A graphical form for browsing 20,000 CIF Structures from the American Mineralogist Crystal Structure Database is included, and you can import other CIF files or structure files from DFT or other calculations. Any of these structure files can be used to create inputs for and run Feff (either Feff6 or Feff8l) to calculate EXAFS path contributions and organize these results.

Larix also includes a form to build a sum-of-paths model for an EXAFS spectrum from a set of Feff path and to help you fit a sum of Feff Paths to experimental EXAFS \(\chi(k)\) spectra. This includes friendly tools to set up EXAFS fitting parameters, working with and constraining Path Parameters, running fits and browsing the results.

For all its processing and fitting (pre-edge peaks, PCA, Feff-fit), Larix always saves the full of history of commands it runs as code that can be modified or re-run in batch. For “Feff fitting” in particular, a fitting script can be saved for any fit and run either in the Larch macro language or (with uncommenting of some import statements`) run as a standalone Python script. Larch can also be used as a backend for the Athena and Artemis programs for XAFS Analysis. When you install Larch and the latest version of Demeter, and Demeter should find and use Larch for EXAFS Analysis, replacing the older Ifeffit library and its many limitations.

If you are a user of the GSECARS microprobe beamline or have XRF Mapping data from a compatible beamline (XFM at NSLS-II, maybe others), you’ll want to start using the GSE Mapviewer program for reading, displaying, and working with X-ray fluorescence maps. Much of the documentation here discusses commands you can type in the “Larch Buffer”, available from the Mapviewer program for scripting and more detailed access to the data in the XRF map HDF5 files.

If you are a general-purpose user or ready for more control over data analysis for many types of data, the Larch GUI can help you browse through the available commands and data, and provide a good starting point for interactive, exploratory data analysis.

## 2.3. Third, start scripting with Larch and/or Python

Once you’ve done a little bit of GUI or interactive work, you may be ready to write scripts. Such scripts can help you automate repeated tasks and can build and remember more complex analyses. The combination of the high level commands of Larch and the interactive command-line GUI for exploratory data analysis are a great way to get started in writing your own scripts and building up more sophisticated programs.

The Larix application can assist you get started with this, as it keeps a history of all commands it executes that can be saved and re-run or modified to run in the Larch macro language or (with including the appropriate import statements) as a Python program.