WSWED3: Scientific Python for Data Analysis at NSLS-II

Wednesday 19 May 2021, 13:00 → 16:30 US/Eastern

Virtual Workshop (Zoom Link: https://bnl.zoomgov.com/j/1614719807?pwd=OHNBUGtnVlphVy81ZCtGNDNMaTBXUT09)

Using the Python programming language, users can build on NSLS-II's data acquisition, data access, and data analysis tools to automate the rote parts of their process and focus on the science. This workshop is a hands-on tutorial on using scientific Python for image analysis, visualization, and machine learning. NSLS-II beamline staff and Python experts from the NSLS-II scientific software group ("DAMA") will team up to walk through examples from a range of scientific domains, working from data acquisition through analysis. Topics covered will include handling of larger-than-memory datasets, parallelism, and adaptive experiment steering. Basic familiarity with Python usage will be assumed. Please bring a laptop; this is an interactive session.

Back to main agenda

1 Introduction to the Interactive Tutorial and Bluesky

Speaker: Daniel Allan (NSLS-II Data Science and Systems Integration)

2 Adaptive Experiment Sampling with a Reinforcement-Learning Agent

Speaker: Daniel Olds (Beamline Scientist for NSLS-II's Pair Distribution Function Beamline)

3 Anomaly Detection in Time Series Data

Speaker: Tatiana Konstantinova (Post-doctoral Associate)

14:40 Break

4 Boost Beamtime Productivity

Speaker: Andi Barbour (Scientist in NSLS-II's Soft X-ray Scattering Program)

5 Customizing Bluesky for XAFS

Speaker: Bruce Ravel (Lead Beamline Scientist for NIST's Beamline for Materials Measurement)

6 Questions, live demo requests, etc.