Data Augmentation for Enhanced Forecasting of Solar Energetic Particle Events

Project Overview: The project aims to boost the accuracy of forecasting solar energetic particle events through tailored data collection, preprocessing, augmentation techniques, and visualization tools available in the provided Python codes. sep_data_collection_pipeline_100-b.ipynb: This Jupyter Notebook manages a comprehensive data collection pipeline, focusing on acquiring, cleaning, and preprocessing data for analysis of solar energetic particle events. sep_nsep_da_gaussian_100mev_5h.ipynb: This Jupyter Notebook employs advanced data augmentation techniques, specifically utilizing Gaussian distributions, to enhance forecasting accuracy for solar energetic particle events within certain energy levels and time frames. sep_data_collection_for_visualization.ipynb: This Jupyter Notebook concentrates on collecting and structuring data tailored for visualization purposes related to solar energetic particle events, potentially generating insightful visual representations.