SOURCE-LINKED INTELLIGENCE
Probing Dark Matter and Lorentz Invariance Violation through Synergistic Gamma-Ray Observations
V will provide crucial insights, helping to refine or exclude existing models. This project also has broader implications beyond astrophysics. The methodologies developed, such as the application of machine learning techniques, have applications in other scientific fields, including climate modeling, and finance. Finally, the project offers valuable career development opportunities. Working closely with international collaborations such as MAGIC and CTAO will strengthen the researcher’s academic profile and open doors for future funding opportunities. Gamma-ray Astronomy, High-energy Astrophysics, Dark Matter, Axion-like Particles, Lorentz Invariance Violation, Simulation-Based Inference
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 193643.28
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.