Introduction
This site documents the usage of "psana python", which is software that can be used to analyze LCLS data. Using relatively simple python code, it is possible to analyze LCLS data in parallel on hundreds of CPU cores, both offline and in real-time while data is being taken. To see a simple 17-line introductory script, and a list of other features click here. You may also wish to:
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- Learn how to use the
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How To Get Help with Analysis Tools
Send your questions to: pcds-help@slac.stanford.edu with relevant information (e.g. scripts, and other files involved in the failure). One of our experts will contact you. If it is the middle of the night and your experiment is having significant difficulty your hutch-scientist point-of-contact knows how to reach us by phone, 24/7.
How to Use This Site
- note the document tree on the left side bar of the Portal. The tree is designed to help you find your way to the right document. If you won't see the tree then it's most likely turned off. That' easy to fix - just look on the top-right side of this page and notice a little icon (left to the 'Search' box) which will toggle the visibility of the side bar.
- most pages in this site list topics to review next, as well as additional related topics
- if you know what you're looking for use search on the sidebar just above the tree. One can also use the tree structure to get yourself familiar with the general structure of the documentation. This may make your search more efficient.
- some pages on this site will redirect you (if needed) to other Confluence 'spaces' (sites). Note that the 'Search' will not propagate to those other spaces