JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@unpublished{blokland:ibic2022-wep05,
author = {W. Blokland and F. Liu and N.R. Miniskar and K. Rajput and P. Ramuhalli and M. Schram and A.R. Young and Y.A. Yucesan and A.P. Zhukov},
% author = {W. Blokland and F. Liu and N.R. Miniskar and K. Rajput and P. Ramuhalli and M. Schram and others},
% author = {W. Blokland and others},
title = {{Online Machine Learning Version of the SNS Differential Beam Current Monitor}},
% booktitle = {Proc. IBIC'22},
booktitle = {Proc. 11th Int. Beam Instrum. Conf. (IBIC'22)},
language = {english},
intype = {presented at the},
series = {International Beam Instrumentation Conference},
number = {11},
venue = {Kraków, Poland},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {12},
year = {2022},
note = {presented at IBIC'22 in Kraków, Poland, unpublished},
abstract = {{We have duplicated the Spallation Neutron Source (SNS) Differential beam Current Monitor (DCM) and included Machine Learning algorithms to observe the beam condition by looking for errant beam event precursors. The new system runs in parallel to the existing operational system and receives the same beam current signals but can be modified without affecting Operations. The archived data from the operational DCM was used to prove the existence of precursors and to generate the models. The new system has implemented Siamese Twin models on the real-time OS and a Random Forest model in the FPGA of the system. The system can also stream all acquired data at full rates to a data server for archival and online analysis. We discuss the setup and initial results.}},
}