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Author: W. Blokland


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Reference
W. Blokland, G. Vogel, and J. Dey, “A New Flying Wire System for the Tevatron”, in Proc. 17th Particle Accelerator Conf. (PAC'97), Vancouver, Canada, May 1997, paper 2P060, pp. XX-XX.
W. Blokland, T. J. Shea, and M. Stettler, “Networked Attached Devices at SNS”, in Proc. 6th European Workshop on Beam Diagnostics and Instrumentation for Particle Accelerators (DIPAC'03), Mainz, Germany, May 2003, paper PM23, pp. XX-XX.
A. V. Aleksandrov et al., “Performance of SNS Front End and Warm Linac”, in Proc. 23rd Linear Accelerator Conf. (LINAC'06), Knoxville, TN, USA, Aug. 2006, paper MOP045, pp. XX-XX.
J. F. Power et al., “Spallation Neutron Source Linac Beam Position and Phase Monitor System”, in Proc. 23rd Linear Accelerator Conf. (LINAC'06), Knoxville, TN, USA, Aug. 2006, paper TUP003, pp. XX-XX.
W. Blokland and C. Long, “An In-Line Emittance Scanner Based On A LabVIEW Style State Machine With Sequencer”, in Proc. 10th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'05), Geneva, Switzerland, Oct. 2005, paper P1_057.
W. Blokland, C. C. Peters, and T. B. Southern, “Enhancements to the SNS* Differential Current Monitor to Minimize Errant Beam”, in Proc. 8th Int. Beam Instrumentation Conf. (IBIC'19), Malmö, Sweden, Sep. 2019, pp. 146-149.
C. C. Peters et al., “Machine Learning for Time Series Prediction of an Accelerator Beam to Recognize Equipment Malfunction”, in Proc. 12th Int. Particle Accelerator Conf. (IPAC'21), Campinas, Brazil, May 2021, pp. 2272-2275.
K. Rajput et al., “Uncertainty Aware Anomaly Detection to Predict Errant Beam Pulses in the SNS Accelerator”, presented at the North American Particle Accelerator Conf. (NAPAC'22), Albuquerque, New Mexico, USA, Aug. 2022, paper WEPA21, unpublished.
W. Blokland et al., “Online Machine Learning Version of the SNS Differential Beam Current Monitor”, presented at the 11th Int. Beam Instrumentation Conference (IBIC'22), Kraków, Poland, Sep. 2022, paper WEP05, unpublished.


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