Speaker
Description
As part of the development of the TAMBO-4 detector, the assembly of the panels provided by Harvard University was carried out. Data acquisition was performed using the RedPitaya platform, while data processing was conducted through a custom Python script. Initial tests were conducted under partial sealing conditions, which revealed a considerably high noise level. In response, a series of corrective actions were undertaken, including the complete hermetic sealing of all four panels, the optimization of the RedPitaya-based acquisition system, and the refinement of the Python processing script. Subsequent measurements demonstrated a significant reduction in background noise and a marked improvement in the overall quality of the acquired signals. Despite these enhancements, however, the signature of the minimum ionizing particle (MIP) peak remains elusive in our current analyses, indicating that further studies and refined detection strategies are required for its unambiguous identification.