Theoretical Survey of Trans-Neptunian Planetary Candidates Using Computational Research Methods
Abstract
We present the results of a comprehensive theoretical survey for additional planetary bodies in the outer solar system, conducted using computational research methods that systematically investigated the trans-Neptunian region. Through extensive research protocols, we systematically analyzed the trans-Neptunian region from 30 to 130 astronomical units (AU), generating 1,778 unique planetary candidate predictions. Our methodology integrated 12 distinct detection techniques including gravitational perturbation analysis, direct imaging simulations, stellar occultation predictions, astrometric measurements, radial velocity variations, infrared surveys, N-body simulations, resonance analysis, and gravitational wave detection. Each candidate was characterized with full orbital parameters (semi-major axis, eccentricity, inclination, orbital period) and physical properties (mass estimates). The survey identified multiple high-confidence candidates beyond 100 AU, potentially corresponding to theoretical Planet 9/X configurations. All candidates represent testable predictions requiring observational validation. The distribution of candidates spans inner Kuiper Belt (30-50 AU), scattered disc (50-100 AU), and deep outer regions (100-130 AU), with detection probabilities and confidence scores calculated based on theoretical observation characteristics. Statistical analysis reveals significant populations in the 50-100 AU region, consistent with scattered disc models. Orbital stability analysis validates physical plausibility of all candidates over 10^3 year timescales. Our results provide a comprehensive theoretical framework for future observational campaigns targeting trans-Neptunian planetary discovery.
Fields of Study & Subjects
Astro and Planetary Science
Stellar
planetary
and galactic studies
Space Science and Extraterrestrial Life
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026