This workshop focuses on practical aspects of data analysis at LCLS. The aim is to familiarize participants with the basics of data analysis at LCLS and lower the threshold for doing analysis during and after experiments. In most hands-on sessions, the participants will be able to follow the session leader in analyzing example data, and receive help if questions arise. Participants are requested to follow the preliminaries to be sent out prior to the workshop, and all are welcome to send us questions or requests for features to be demonstrated and/or implemented at LCLS.

Participants who would like to follow the practical sessions are kindly asked to read the following info sheet and complete the necessary steps before the meeting:

https://docs.google.com/document/d/192pX-g9W9NufNGZ1rxtPyTA1xaBDx6w_JKF2q7xJkuI/edit?usp=sharing

Please submit your questions and suggestions regarding data analysis at LCLS using this Google Form: https://forms.gle/Ebs4kxKGPxje2Q7e7

Organizers:

Peihao Sun

1:00 PM Intro to LCLS data analysis Jana Thayer, SLAC National Accelerator Laboratory

1:20 PM Break

1:30 PM Hands-on session: psana low-level tools Chris O'Grady, SLAC National Accelerator Laboratory

2:05 PM Break

2:15 PM Hands-on session: smalldata tools Silke Nelson, SLAC National Accelerator Laboratory

2:50 PM Break

3:00 PM Parallel demo sessions: Real-time analysis / crystallography Valerio Mariani & Chuck Yoon, SLAC National Accelerator Laboratory

3:30 PM Break

3:40 PM Parallel hands-on sessions: XPCS / time-domain analysis / AMO Haoyuan Li & Viktor Krapivin & Taran Driver, Stanford University / PULSE / PULSE

4:10 PM Break

4:20 PM Q&A session, all questions about data analysis are welcome Peihao Sun, University of Padova