Stars-894 ((full)) -

Content Classification and Distribution

• Cache – Taxonomy look‑ups are cached (TTL = 15 min) to reduce DB hits.
• Rate limiting – Max 10 suggestion requests per second per user (burst 20).
• Horizontal scaling – Stateless services; can be autoscaled behind an API gateway.

1. Photon Detection – Event packets (time, energy, pixel ID) generated at ≤ 5 µs resolution.
2. On‑board Trigger – Real‑time burst detection; if trigger ≥ 5σ, packet flagged for high‑priority downlink.
3. Buffering – Continuous stream stored in 8 TB SSD (circular buffer, 48 h capacity).
4. Downlink – Ka‑band burst packets transmitted within 30 s; routine science data streamed via X‑band.
5. Ground Reception – DSN stations forward to MOC, then to SDC.

1. Framing: Define system boundaries, objectives, stakeholders, and time horizons guided by the 8 Principles (start with Observability, Equity, and Stewardship).
2. Mapping: Use System mapping to create layered representations — technical, social, and economic layers.
3. Modeling: Select Theories and Agents to formalize dynamics; run Agent-based simulation and Robust optimization for sensitivity.
4. Design: Iterate modular interventions; use Participatory design and Policy sandboxes to prototype.
5. Deploy & Observe: Implement observational pipelines; track Impact accounting metrics.
6. Govern & Iterate: Choose a Governance Pattern; establish Rules, transparency, and reversibility mechanisms; run learning cycles and update designs.