Syntriod: A Robust Initial Parameter Estimator for Radial Velocity Curve Solutions Beyond Conventional Sampling Limits
Publications of the Astronomical Society of the Pacific, cilt.138, sa.7, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 138 Sayı: 7
- Basım Tarihi: 2026
- Doi Numarası: 10.1088/1538-3873/ae8575
- Dergi Adı: Publications of the Astronomical Society of the Pacific
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, INSPEC, Academic Search Ultimate (EBSCO)
- Anahtar Kelimeler: Orbit determination (1175), Radial velocity (1332), Spectroscopic binary stars (1557), Time series analysis (1916)
- Erciyes Üniversitesi Adresli: Evet
Özet
We present Syntriod, an orbital-phase domain RV template-based algorithm designed to provide robust initial orbital parameter estimates for spectroscopic binaries across a wide range of observational sampling conditions. Rather than performing full orbital inference, Syntriod aims to constrain the parameter space with physically consistent solutions that can guide subsequent optimization procedures. We evaluate its performance using 10,000 synthetic Keplerian orbits spanning diverse orbital configurations and sampling regimes. For well-sampled datasets (Nobs ≥ 8), Syntriod recovers orbital periods with relative accuracies of order ∼10−3. At the theoretical sampling limit (Nobs = 6), the method maintains a success rate of ∼94%, while classical period-search techniques such as Lomb–Scargle become increasingly affected by aliasing. Even below this limit, Syntriod continues to recover the correct orbital solution in ∼83% of cases with Nobs = 5, showing a gradual degradation in precision rather than catastrophic failure. We further evaluate the method on 12 real spectroscopic binary systems (HD 160934, Phi Cyg, Capella A, Kepler 16, KIC 3858884, KIC 6867766, KIC 2445134, KIC 3003991, DU Boo, HL Dra, FP Boo, and AK Her) spanning a broad range of orbital periods and eccentricities. Syntriod consistently reproduces literature solutions even when datasets are randomly subsampled to sparse regimes. In cases where a full Keplerian solution becomes underconstrained (Nobs ≤ 4), the algorithm transitions to linear dynamical relations and recovers parameters such as the mass ratio (q) and systemic velocity (γ) with success rates exceeding 99%. These results demonstrate that Syntriod provides reliable and computationally efficient initial parameter estimates across both well-sampled and sparse observational regimes, making it a practical pre-solver for modern orbit-fitting pipelines and large spectroscopic surveys.