Modelos Inteligentes para la Interpretación y Predicción de Señales Radioastronómicas Asociadas a Fenómenos de Clima Espacial

The project “Intelligent Models for the Interpretation and Prediction of Radioastronomical Emissions in Space Weather” aims to develop and consolidate an integrated methodology for the acquisition, preprocessing, analysis, and prediction of radioastronomical signals associated with solar activity. The proposal combines digital signal processing techniques with machine learning approaches guided by physical principles, in order to improve the quality, coherence, and scientific value of the recorded observations.
The project includes the design and evaluation of predictive models using both radiofrequency (RF) data and complementary X-ray observations, enabling the exploration of the relationship between radiative fluence and the propagation speed of coronal mass ejections (CMEs). As a result, the work will support the development of a unified X-Ray/RF catalog, facilitating the identification of early and reproducible signatures of events relevant to space weather.
The outcomes will directly strengthen the analytical capabilities of the ROSAC Radio Telescope, currently in its early operational consolidation phase, by providing structured guidelines for data management, selection of relevant variables, and comparative evaluation of predictive methodologies. This will establish a reproducible methodological foundation for future automated monitoring systems.
Overall, the project advances a process innovation, aimed at improving quality standards, traceability, and predictive capacity in radioastronomical analysis, contributing a new methodological framework for space weather research in Costa Rica and the surrounding region.

Desarrollar y validar una metodología integrada para la adquisición, análisis y predicción de emisiones radioastronómicas asociadas al clima espacial, mediante el diseño de nuevos algoritmos basados en técnicas de inteligencia artificial y análisis de señales, con el fin de generar nuevo conocimiento sobre la dinámica de eventos solares y fortalecer la capacidad científica del Radio Telescopio ROSAC.

- Energía
- Industria