ARARA is a proposed space telescope mission concept that extends transient astronomy beyond passive observation by embedding an onboard “early-warning” layer for time-critical phenomena. Instead of relying solely on brightness changes after photons arrive at Earth, ARARA continuously evaluates stability metrics in the telescope’s own telemetry and in target fields, using a dual-monitor architecture (instrument health + astrophysical scene). The onboard stack combines multiscale event-likelihood sensing, cross-confirmation between observing assets, and closed-loop false-positive control (budgets, guardrails, and adaptive thresholds) to prioritize observations and downlink the most time-critical data under realistic spacecraft constraints. We present an end-to-end simulation and flight-style autonomy workflow that remains reproducible: all reported figures are generated from logged Monte-Carlo runs and replayable telemetry. The key mission value is earlier and more reliable capture of the “instant-zero” phase of fast transients (e.g., core-collapse supernova onset, neutron-star activity, and black-hole accretion state transitions), improving scientific yield without requiring continuous ground supervision. More broadly, ARARA demonstrates a scalable pattern for autonomous space instruments: turning telescopes into proactive detectors that can react to imminent events, reduce missed discoveries, and increase resilience to noise, data gaps, and operational bottlenecks.
Felipe Romero (2026) studied this question.