Statistical investigation of potential interstellar object signatures through historical anomaly reanalysis and heliospheric data correlation.
ISP-Ni begins from a quiet premise: not every recorded signal has been fully understood.
Across decades of radioastronomical observation, numerous events have been classified as noise, instrumental artifacts, or statistically insignificant anomalies. These classifications emerged within the limits of the models and observational frameworks available at the time.
Rather than challenging those interpretations directly, ISP-Ni repositions them within a broader analytical context — one that integrates statistical rigor, cross-instrument consistency, and dynamic modeling of interstellar trajectories.
The objective is not to confirm a hypothesis, but to determine whether any coherent structure exists beyond randomness.
If no structure is found, the result reinforces the current understanding. If consistent patterns emerge, a new observational pathway becomes possible: the indirect detection of interstellar objects through their interaction with the heliospheric environment.
Between signal and noise lies a boundary rarely explored. ISP-Ni operates precisely within that frontier.
Collection of radioastronomical datasets across multiple instruments and observatories.
Removal of solar, heliospheric and known astrophysical sources.
Extraction of residual events not classified within existing models.
Monte Carlo simulation of interstellar object paths through the Solar System.
Temporal and geometric alignment between events and simulated trajectories.
Significance testing using Monte Carlo and null hypothesis frameworks.