Machine Learning Success in Stabilizing Beam Size (IMAGE)

DOE/Lawrence Berkeley National Laboratory

Machine Learning Success in Stabilizing Beam Size

Caption

This chart shows how vertical beam-size stability greatly improves when a neural network is implemented during Advanced Light Source operations. When the so-called "feed-forward" correction is implemented, the fluctuations in the vertical beam size are stabilized down to the sub-percent level (see yellow-highlighted section) from levels that otherwise range to several percent.

Credit

Lawrence Berkeley National Laboratory

Usage Restrictions

None

License

Licensed content

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.