PyLOSt (Python Large Optic Stitching) is a software framework intended for the stitching and analysis of sub- aperture surface metrology data from X-ray mirrors. The application was originally developed at the ESRF by Bharath Reddy Adapa as part of the CALIPSOplus MooNpics JRA. The code has continued to be developed within the Superflat Workpackage.

In addition to the stitching capabilities PyLOSt incorporates many data analysis and visualisation features.

PyLOST has been extended as orange-pylost to run in the Orange data analysis suite¹ which provides an intuitive interface to the data pre-processing, stitching and analysis tools.  Orange-pylost is the currently maintained version.

The software is Open Source and is issued under the MIT license. 

1. J. Demsar et al., (2013) Orange: Data Mining Toolbox in Python, Journal of Machine Learning Research  14 2349−2353.

PyLOSt resources

• How to install PyLOSt
• Source code
• Documentation & Tutorials
  • Orange PyLOSt widget guide: contains html pages with help on  PyLOSt tools. Download the entire directory contents from the git server   and open index.html in any browser
• IWXM 2022 presentation