Speaker
Willem Blokland
(ORNL)
Description
We apply Machine Learning techniques at the Spallation Neutron Source (SNS) to improve operations, specifically to deter and prevent errant beam pulses, to speed up minimization of halo beam losses, and to alert operators to anomalies in the target cooling system. We give an overview of the work done and discuss the infrastructure implemented and under development to support the data acquisition, pre-processing, training, and continuous learning.
Author
Willem Blokland
(ORNL)
