Speaker
Description
Future space missions for direct cosmic-ray measurements demand a significant leap in detector performance, data handling capabilities, and power efficiency. This contribution provides an overview of the key enabling technologies for next-generation instruments, emphasizing the synergy between advanced detection systems, innovative magnet designs, and artificial intelligence for onboard data processing.
In the tracking domain, recent developments in silicon detectors will be discussed, with a focus on Monolithic Active Pixel Sensors (MAPS), offering high granularity and low material budget, and Low-Gain Avalanche Detectors (LGAD), enabling precise timing measurements. For photon detection, Silicon Photomultipliers (SiPMs) provide a compact, robust solution suitable for space environments, especially when coupled with emerging high-performance scintillators such as GAGG crystals, which feature high light yield, excellent radiation hardness, and stability.
A key element for improving charge and rigidity measurements is the adoption of next-generation superconducting magnets based on high-temperature superconductors such as YBCO (Yttrium Barium Copper Oxide). These technologies enable stronger magnetic fields and more compact configurations while maintaining compatibility with the constraints of space missions.
A central part of this talk will address the role of artificial intelligence in enabling onboard intelligence. Machine learning and deep learning techniques can be leveraged for real-time event classification and data suppression, drastically reducing the volume of data transmitted to Earth while preserving scientific content. Hardware–software co-design strategies for deploying AI inference under stringent constraints of power, radiation tolerance, and reliability will be discussed.
Overall, the integration of these technologies represents a crucial step toward more sensitive, efficient, and autonomous space missions, capable of pushing the frontiers of cosmic-ray physics.