Control and Calibration of GlueX Central Drift Chamber Using Gaussian Process Regression

Conference · Wed Nov 30 23:00:00 EST 2022

DOI:https://doi.org/10.2172/1972808· OSTI ID:1972808

McSpadden, Helen ^[1]; Jeske, Torri ^[1]; Jarvis, Naomi ^[2]; Britton, Thomas ^[1]; Lawrence, David ^[1]; Kalra, Nikhil ^[1]

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1. Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
2. Carnegie Mellon University , Pittsburgh, PA

The Gluonic Excitations (GlueX) experiment is designed to search for exotic hybrid mesons using photoproduction, and to study the hybrid meson spectrum predicted from Lattice Quantum Chromodynamics. For the first time, the GlueX Central Drift Chamber was controlled autonomously using machine learning (ML) to calibrate in real time while recording cosmic ray tracks. We demonstrate the ability of a Gaussian Process to predict the gain correction calibration factor used to determine a high voltage setting that will stabilize the CDC gain in response to changing environmental conditions; this is in contrast to the traditional, computationally expensive method of calibrating raw data after data collection is complete.

• Research Organization: Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Nuclear Physics (NP)
• DOE Contract Number: AC05-06OR23177
• OSTI ID: 1972808
• Report Number(s): JLAB-CST-22-3784; JLAB-CST-22-3784
• Country of Publication: United States
• Language: English