Baryon Antibaryon Symmetry Experiment - BASE

This research centres on the generation of simulation data under varied experimental parameters to predict real experimental outcomes, with a specific focus on the axial frequency in charged particle movements within magnetic traps, a critical component in understanding potential disparities between matter and antimatter. By comparing both real and simulated data, we gain an enriched perspective that bolsters our confidence in our findings, thereby guiding future experimental designs. Our approach shows a comparison between simulation and experimental data to simulate signal behaviour under diverse conditions, such as temperature fluctuations and different signal-to-noise ratios. Key to our method is the axial frequency measurement, wherein signals pass through a series of amplifiers and electronic components, culminating in an FFT signal that is later analysed. Parameters, such as noise level, resonator frequency, and the Lorentz force-induced axial frequency, are crucial for the correct interpretation of signal-frequency data. Through both experimental and simulation data analysis, the density distributions of residuals are examined, showing agreement between simulation results and real-world measurements. Additionally, using the curve fitting function from Python scipy.optimize library, we model and optimize these parameters. Our results highlight the alignment between simulated and real-world measurements, emphasizing the growing importance and accuracy of simulations in current scientific endeavours.