This project proposes a comprehensive approach to detect gravitational waves and monitor seismic events and environmental changes. It leverages Lagrange points, a MASER interferometer, and microwave technology for enhanced accuracy and reduced errors. The proposed model can predict seismic events and monitor environmental changes by analyzing wave signal interference patterns. LIDAR technology is incorporated to identify air composition in various scenarios. Overall, this project advances the understanding of gravitational waves, seismic events, and environmental monitoring.
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Participant(s)
Ninia Mikautadze
Nia Matcharashvili - Connector.
Country
Georgia
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Category
Environment
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