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Syntriod:一种用于超越传统采样极限的径向速度曲线解的稳健初始参数估计器

Syntriod: A Robust Initial Parameter Estimator for Radial Velocity Curve Solutions Beyond Conventional Sampling Limits

Emre Barbaros, Hasan Ak, N. Filiz Ak

arXiv 2607.24926首次发表:更新:

AI 中文总结

Syntriod是基于轨道相位域径向速度模板的算法,通过约束参数空间为光谱双星估测初始轨道参数。经合成和真实数据测试,它在不同采样条件下都能可靠高效地估计参数,是轨道拟合和光谱调查的实用预求解器。

AI 中文摘要

我们提出了Syntriod,一种基于轨道相位域径向速度(RV)模板的算法,旨在为不同观测采样条件下的光谱双星提供稳健的初始轨道参数估计。Syntriod并非进行完整的轨道推断,而是通过物理上一致的解来约束参数空间,以指导后续的优化程序。我们使用10000个跨越不同配置和采样方式的合成开普勒轨道评估其性能。对于采样良好的数据集($N_{obs} \ge 8$),Syntriod恢复轨道周期的相对精度约为$10^{-3}$。在理论采样极限($N_{obs} = 6$)时,该方法成功率约为94%,而像Lomb-Scargle这样的经典周期搜索技术受混叠影响越来越大。即使低于此极限($N_{obs} = 5$),Syntriod在约83%的情况下能恢复正确的轨道解,呈现逐渐退化而非灾难性失败。我们还在12个跨越广泛轨道周期和偏心率的真实光谱双星系统上评估了该方法。当完整的开普勒解约束不足($N_{obs} \le 4$)时,算法转变为线性动力学关系,恢复质量比($q$)和系统速度($\gamma$)等参数的成功率超过99%。这些结果表明,Syntriod在采样良好和稀疏的情况下都能提供可靠、计算高效的初始参数估计,使其成为现代轨道拟合管道和大型光谱调查的实用预求解器。

英文摘要

We present Syntriod, an orbital-phase domain radial velocity (RV) template-based algorithm designed to provide robust initial orbital parameter estimates for spectroscopic binaries across diverse observational sampling conditions. Rather than performing full orbital inference, Syntriod constrains the parameter space with physically consistent solutions to guide subsequent optimization procedures. We evaluate its performance using 10,000 synthetic Keplerian orbits spanning diverse configurations and sampling regimes. For well-sampled datasets ($N_{obs} \ge 8$), Syntriod recovers orbital periods with relative accuracies of order $10^{-3}$. At the theoretical sampling limit ($N_{obs} = 6$), the method maintains a ~94% success rate, while classical period-search techniques like Lomb-Scargle become increasingly affected by aliasing. Even below this limit ($N_{obs} = 5$), Syntriod recovers the correct orbital solution in ~83% of cases, showing gradual degradation 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 broad orbital periods and eccentricities. Syntriod consistently reproduces literature solutions even when datasets are randomly subsampled to sparse regimes. Where a full Keplerian solution becomes underconstrained ($N_{obs} \le 4$), the algorithm transitions to linear dynamical relations, recovering parameters such as mass ratio ($q$) and systemic velocity ($γ$) with success rates exceeding 99%. These results demonstrate that Syntriod provides reliable, computationally efficient initial parameter estimates across well-sampled and sparse regimes, making it a practical pre-solver for modern orbit-fitting pipelines and large spectroscopic surveys.

Comments23 pages, 14 figures and 3 tables. Published in Publications of the Astronomical Society of the Pacific (PASP). Code will be made available on GitHub soon

Journal refE. Barbaros et al. (2026), PASP, 138, 074505

DOI:10.1088/1538-3873/ae8575

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