50 research outputs found
Concept for a Future Super Proton-Proton Collider
Following the discovery of the Higgs boson at LHC, new large colliders are
being studied by the international high-energy community to explore Higgs
physics in detail and new physics beyond the Standard Model. In China, a
two-stage circular collider project CEPC-SPPC is proposed, with the first stage
CEPC (Circular Electron Positron Collier, a so-called Higgs factory) focused on
Higgs physics, and the second stage SPPC (Super Proton-Proton Collider) focused
on new physics beyond the Standard Model. This paper discusses this second
stage.Comment: 34 pages, 8 figures, 5 table
Real-time optimization of bunch-by-bunch 3D information extraction software HOTCAP
BackgroundThe beam measurement group of Shanghai Synchrotron Radiation Facility (SSRF) has developed a new software package, HOTCAP, for high-speed oscilloscope-based three-dimensional bunch charge and position measurements to investigate the transient process of injection and beam instability in a high-energy electron storage ring. However, the software package does not specifically optimize the algorithm efficiency for data-processing speed.PurposeThis study aims to optimize real-time performance of the HOTCAP software so that the time required to complete the processing and analysis of single-measurement data fully satisfies the requirements of real-time measurements.MethodsAn operational efficiency test and algorithm optimization were conducted for each functional module of the HOTCAP software package to improve the overall performance. The specific time consumption data of each module in the processing flow were calculated, and the most time-consuming algorithm for extracting the three-dimensional position of charges was specially optimized to reduce duplicate calculations by using cached variables.ResultsAfter optimization, the processing time of the single-measurement data is reduced by more than 10 times.ConclusionsThe optimized HOTCAP software by this study satisfies the real-time monitoring and online data release requirements of the high-energy electron storage ring status
Machine learning based image processing technology application in bunch longitudinal phase information extraction
Technique for Extracting Initial Parameters of Longitudinal Phase Space of Freshly Injected Bunches in Storage Rings, and Its Applications
This paper presents a technique for extracting the initial parameters of the longitudinal phase space of freshly injected bunches in an electron storage ring. This technique combines simulation of single-bunch longitudinal phase space evolution with a bunch-by-bunch data acquisition and processing system, enabling high-precision determination of initial phase space parameters during electron storage ring injection—including the initial phase, initial bunch length, initial energy offset, initial energy spread, and initial energy chirp. In our experiments, a high-speed oscilloscope captured beam injection signals, which were then processed by the bunch-by-bunch data acquisition system to extract the evolution of the injected bunch’s phase and length. Additionally, a single-bunch simulation software package was developed, based on mbtrack2 and PyQt5, that is capable of simulating the phase space evolution of bunches under different initial parameters after injection. By employing a genetic algorithm to iteratively align simulation results with experimental data, the remaining initial phase space parameters of the injected bunch can be accurately determined
