ArXiv Preprint Maps Physical and Informational Signatures for Technosignature Detection

The paper synthesizes astronomical data pipelines with algorithmic complexity measures, arguing that isolated physical markers such as waste-heat excesses remain ambiguous without an accompanying statistical deviation from natural entropy baselines. Methods draw on existing infrared surveys and apply Kolmogorov complexity estimates to light curves, explicitly testing against null models derived from stellar variability catalogs. This approach directly engages the demarcation problem in philosophy of science by requiring signatures to be both causally efficacious and compressible only under an intelligent-agent hypothesis.

Context from related work shows the framework extends earlier technosignature proposals that treated Dyson-sphere candidates as purely thermal events. Cross-referencing with 2023 analyses of anomalous infrared sources reveals that several previously flagged objects exhibit entropy profiles consistent with the new dual criteria, narrowing follow-up lists by roughly 40 percent. The analysis highlights how current telescope allocation decisions undervalue archival data reprocessing relative to new observations.

Limitations include reliance on simulated rather than real multi-messenger datasets and absence of quantified false-positive rates under realistic foreground confusion. Strengthening evidence would require a blinded injection-recovery campaign on existing JWST and Roman Space Telescope archives exceeding 500 targets. Next steps hinge on integration with SETI-specific observing proposals scheduled for 2025-2026 cycles.