Processamento de sinais aplicados ao radiotelescópio BINGO para filtragem e classificação de eventos.

Abstract

This study, titled "Signal Processing Applied to the BINGO Radio Telescope for Event Filtering and Classification," investigates methods for mitigating radio frequency interference (RFI) in radio astronomy data, with an emphasis on the arPLS and SumThreshold methods for baseline correction and preservation of astrophysical signals. The research utilizes data obtained from the Uirapuru radio telescope, to which sinusoidal, pink, Gaussian, broadband, and impulsive noise were intentionally added, allowing for an assessment of the effectiveness of these methods in improving the quality of data captured by BINGO. The results demonstrate that the applied methods are effective in identifying and isolating interferences, enabling the recovery of essential information for observational analysis and significantly contributing to data robustness in environments densely saturated with artificial signals.