Imagine the Sun as a giant cannon firing invisible, high-energy bullets at our satellites. This work creates a better 'radar' system by cleaning up old data and fixing how we measure these particles. It helps us understand exactly when and how these solar storms hit, making space travel and satellite operations safer.
Satellite operators and space agencies lack high-accuracy, cross-calibrated data on very high-energy particles. This leads to uncertainty in predicting radiation risks and designing protective shielding for space assets.
The project is building high-level data products, response function technical notes, and catalogues of near-relativistic ions and electrons. It also develops tools for coordinated analysis of particle data with context observations.
If you are a satellite manufacturer dealing with radiation-induced hardware failure — this project developed revised datasets and response functions that improve the accuracy of high-energy particle flux predictions. This allows for better shielding design for components operating between 0.04 to 5 AU.
If you are a network operator dealing with signal interference during solar eruptions — this project developed tools for coordinated analysis of particle data and plasma structures. This helps in quantifying the effect of solar events on orbital assets to prevent service outages.
If you are a mission provider dealing with astronaut radiation exposure — this project developed catalogues of near-relativistic ions and electrons. This provides a precise historical record of high-energy events to better plan safe launch windows and transit routes.
Based on available project data, the results are delivered through open access infrastructures such as ESA datalabs, suggesting no direct purchase price for the data products.
The project focuses on delivering validated datasets and analysis tools for the scientific community; it is not currently a scaled industrial product.
Based on available project data, the project emphasizes open access tools and the distribution of data to the community, implying a non-proprietary licensing model.
The project provides technical notes and response functions to enable cross-calibration, but specific integration timelines are not provided in the data.
The project period runs from 2024-01-01 to 2026-12-31, with the final results expected by the end of 2026.
The consortium is heavily research-oriented, consisting of 9 partners across 6 countries. It is dominated by universities (5) and research institutions (3), with only 1 SME representing an 11% industry ratio. This indicates the project is primarily driven by scientific discovery and data validation rather than immediate commercial product development.
Contact ETHNIKO ASTEROSKOPEIO ATHINON for data access inquiries.
Contact SciTransfer to find partners for implementing these radiation models into satellite hardware.
