17–22 May 2026
C.I.D
Europe/Zurich timezone

Model Predictive Control and ML for Control and Estimation: Application to the IPF Beamline at LANSCE

WEP6307
20 May 2026, 16:00
2h
C.I.D

C.I.D

Deauville, France
Board: Wednesday Roquefort: RE25
Poster Presentation MC6.D13: Instrumentation: Artificial Intelligence Poster session

Speaker

Alan Williams (Los Alamos National Laboratory)

Description

The Isotope Production Facility (IPF) at Los Alamos Neutron Science Center (LANSCE) contains an adjustable collimator, able to handle various aperture sizes. The collimator contains integrated temperature and current measurements provided for each collimator segment, for diagnostic and feedback purposes. To simplify collimation, we plan to replace this collimator system with a 'virtual' collimator, combining beam position monitors (BPM) and other simpler diagnostics with physics based machine learning techniques to automate tuning of the beamline. Details of the algorithms are presented, as well as some preliminary results.

Paper status No proceeding file submitted.

Authors

Alan Williams (Los Alamos National Laboratory) Alexander Scheinker (Los Alamos National Laboratory) Dr Etienne Vermeulen (Los Alamos National Laboratory)

Presentation materials

There are no materials yet.