1.2 KiB
1.2 KiB
TASK: Produce a scenario matrix and attribute TTE reductions to drivers.
INPUT DATA:
- BASELINE_CONFIG_v1
- Choose z0 = 1.00 only
- Define 8 scenarios total: S0 baseline S1 brightness reduced: L(t) scaled by 0.5 S2 CPU reduced: C(t) scaled by 0.5 S3 network reduced: N(t) scaled by 0.5 S4 signal worsened: Ψ(t) replaced by min(Ψ, Ψ_poor) for entire run S5 cold ambient: T_a = 0°C constant S6 hot ambient: T_a = 40°C constant S7 background cut: P_bg reduced by 50%
METHODOLOGY:
- For each scenario, run simulation and compute TTE_hours.
- Compute ΔTTE_hours = TTE(Si) - TTE(S0).
- Rank scenarios by most negative ΔTTE (largest reduction).
- For top 3 reductions, compute “mechanistic signatures”: avg(P_tot), max(I), min(Δ), avg(R0), avg(Q_eff)
DELIVERABLES: A) SCENARIO_TTE_TABLE_v1 (CSV): scenario_id, description, TTE_hours, ΔTTE_hours, termination_reason B) DRIVER_RANKING_v1 (JSON): ordered list of scenario_id with ΔTTE_hours C) MECH_SIGNATURES_v1 (CSV) for top 3 reductions: scenario_id, avg_P, max_I, min_Δ, avg_R0, avg_Qeff
VALIDATION:
- All scenarios must terminate with a valid event reason.
- No scenario may produce NaN/inf in stored columns.
OUTPUT FORMAT: CSV, JSON, CSV. No prose.