AI 中文总结
研究利用南希·罗曼太空望远镜成像对系外行星轨道参数的新约束，通过扩展orbitize!包，联合天体测量与光度测量模拟系外行星轨道，发现同时拟合二者可提高后验精度，高信噪比下效果更显著。
AI 中文摘要
将于2027年发射的南希·罗曼·格雷斯太空望远镜（罗曼）有潜力首次直接拍摄系外行星的反射光图像。由于反射光强度取决于轨道相位，罗曼成像将对系外行星轨道参数引入新约束。本文讨论了对开源Python包orbitize!的扩展，它允许用户利用天体测量和因轨道相位导致的光度变化的联合约束来模拟系外行星轨道。为研究在轨道模型中加入光度数据的影响，我们模拟了部分轨道的实际测量，在模型中分别包含和排除光度测量，并计算轨道后验概率。我们发现，相对于仅拟合天体测量，同时拟合天体测量和光度测量可提高后验精度。这种效果在高信噪比图像中更明显；例如，信噪比为10的光度数据在包含光度测量时，倾角精度提高了33%，而信噪比为3的数据仅提高了12%。
英文摘要
Launching in 2027, the Nancy Roman Grace Space Telescope (Roman) has the potential to directly image exoplanets in reflected light for the first time. Roman imaging will introduce new constraints on exoplanet orbital parameters, since reflected-light intensity depends on orbital phase. In this Note, we discuss an addition to the open-source Python package orbitize!, which allows users to model exoplanet orbits using joint constraints from astrometry and photometric variations due to orbital phase. To investigate the impact of adding photometric data into the orbital model, we simulated realistic measurements of partial orbits, both including and excluding photometry in our model, and computed orbital posteriors. We found that fitting both astrometry and photometry improves posterior precision relative to fitting astrometry alone. This effect was more pronounced for higher-SNR images; for example, photometric data with SNR=10 yielded 33% improvement in inclination precision when including photometry, while SNR=3 data yielded only 12% improvement.
Comments4 pages, 1 figure, accepted to RNAAS
