基于Uber校准的APOGEE两级径向速度零点校正
Uber-calibration-based Two-level Radial-velocity Zero-point Correction for APOGEE
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中文总结 AI 辅助
本文提出基于uber校准的两级零点校正方法，利用共享重复观测推断并移除APOGEE仪器零点偏移，将长期RV精度从98.2提升至44.7 m/s，并发布大规模校正目录。
中文摘要 AI 辅助
APOGEE提供高分辨率近红外光谱和高精度径向速度（RVs），其重复观测跨越十余年。然而，长期RV可重复性受到仪器零点系统误差的限制：曝光间漂移和光纤相关偏移，这些误差仅被基于灯波长校准部分追踪，并可能随着光纤维护或更换而演变。我们利用基于共享重复观测的uber校准框架，直接从已发布的每次访问RVs中推断并移除这些零点。我们依次求解两组最小校准单元：（板，夜）曝光级偏移和随时间变化的（光纤，观测年）偏移。我们将该方法独立应用于APO和LCO DR17以及APO DR19。校正后，两天内同光纤可重复性达到约14 m/s的极限精度，长期基线单次访问精度从98.2 m/s提升至44.7 m/s，提高两倍。我们发布了DR17（APO+LCO）和DR19（APO）的每次访问增值RV目录，包含930,519颗独特恒星的3,501,727次访问（其中3,336,141次完全校正），使更可靠的RV变异性、双星和银河动力学研究成为可能。
英文摘要
APOGEE delivers high-resolution, near-infrared spectroscopy and highly precise radial velocities (RVs), with extensive repeat observations spanning more than a decade. Long-term RV repeatability is nevertheless limited by instrumental zero-point systematics: exposure-to-exposure drift and fiber-dependent offsets that are only partially tracked by lamp-based wavelength calibration, and that can evolve as fibers are serviced or replaced. We infer and remove these zero points directly from the published per-visit RVs using an uber-calibration framework based on shared repeat observations. We solve sequentially for two sets of minimal calibration units: (plate, night) exposure-level offsets and time-dependent (fiber, observing year) offsets. We apply the method independently to APO and LCO DR17 and to APO DR19. After correction, the same-fiber repeatability within two days reaches a limiting precision of ~14 m/s, and the long-baseline single-visit precision improves by a factor of two from 98.2 to 44.7 m/s. We release per-visit, value-added RV catalogs for DR17 (APO+LCO) and DR19 (APO) containing 3,501,727 visits (3,336,141 fully corrected) of 930,519 unique stars, enabling more reliable RV variability, binary, and Galactic-dynamics studies.
发表机构
- Institute for Frontiers in Astronomy and Astrophysics, Beijing Normal University（北京师范大学前沿天文与天体物理研究所）
- School of Physics and Astronomy, Beijing Normal University（北京师范大学物理与天文学院）
- Yunnan University（云南大学）
机构由 AI 辅助整理，请以论文原文为准。
