10 citations · 10 across the 6 of their papers we have counts for
7 papers · 1 filter
Using Chromaticity to Suppress Instabilities at Transition
M. A. Balcewicz, J. Eldred
For many synchrotrons which cross transition, a high intensity threshold has been identified beyond which significant beam losses are observed. These losses are due to a high…
AI-Ready Control System for the Fermilab Accelerator Complex
Tia Miceli, Erik Gottschalk, Donovan Tooke +15
Reliable, high-intensity operation of the Fermilab Accelerator Complex is critical to the success of the Long-Baseline Neutrino Facility and Deep Underground Neutrino Experiment. W…
Benchmarking the Use of BPM Quadrupole Moments to Measure Emittance
M. A. Balcewicz, C. Y. Tan
For the PIP-II program, transverse emittance in the Fermilab Booster must remain well controlled at higher bunch intensities. 4-plate beam position monitors (BPMs) have a small but…
Preliminary Results of the 2023 International Fermilab Booster Studies
Jeffrey Eldred, Michael Balcewicz, Frank Schmidt +1
An overview is given of the methods and preliminary results from dedicated beam studies on three topics conducted over five days in July 2023. In the first study, the Fermilab Boos…
Fermilab Booster Beam Emittances from Quadrupole Modes Measured by BPMs
C. Y. Tan, M. Balcewicz
The measurement of beam emittances by extracting the quadrupole mode signal from a 4 plate beam position monitor (BPM) was published at least 40 years ago. Unfortunately, in practi…
Observation of a Synchro-betatron Instability in Fermilab Booster
M. Balcewicz, J. Eldred
In preparation for PIP-II, there has been interest in running the Fermilab Booster at a higher current more indicative of the PIP-II era operation. In July 2023, an experiment was…
Reconstruction of Storage Ring 's Linear Optics with Bayesian Inference
Yue Hao, Yongjun Li, Michael Balcewicz +2
A novel approach of accurately reconstructing storage ring's linear optics from turn-by-turn (TbT) data containing measurement error is introduced. This approach adopts a Bayesian…