Extended anomaly detection and breakdown prediction in LINAC 4’s RF power source output

Linear accelerators are complex machines that can face significant periods of downtime due to anomalies and the subsequent failure of one or more components. The need for reliable linear accelerator operations (LINAC) is critical to the spread of this method in the medical environment. At CERN, where LINACs are used for fundamental research, similar problems are encountered, such as the appearance of jitter in plasma sources (2 MHz RF generators), which can have a significant effect on subsequent beam quality in the accelerator. The SmartLINAC project was created to increase LINACs’ reliability by early detection and prediction of anomalies in its operations, down to the component level. This article shows how anomalies were first discovered and goes deep into understanding the nature of the data. The research adds new elements to anomaly detection approaches used to record jitter periods on 2MHz RF generators

Power Phase Apodization Study on Compensation Defocusing and Chromatic Aberration in the Imaging System

We performed a detailed comparative study of the parametric high degree (cubic, fourth, and fifth) power phase apodization on compensation defocusing and chromatic aberration in the imaging system. The research results showed that increasing the power degree of the apodization function provided better independence (invariance) of the point spread function (PSF) from defocusing while reducing the depth of field (DOF). This reduction could be compensated by increasing the parameter α; however, this led to an increase in the size of the light spot. A nonlinear relationship between the increase in the DOF and spot size was shown (due to a small increase in the size of the light spot, the DOF can be significantly increased). Thus, the search for the best solution was based on a compromise of restrictions on the circle of confusion (CoC) and DOF. The modeling of color image formation under defocusing conditions for the considered apodization functions was performed. The subsequent deconvolution of the resulting color image was demonstrated