AI 中文总结
该研究针对光子 lantern 光谱天体测量的新仪器伪影，设计了开源 Python 包 PLred 以缓解伪影，为相关数据处理提供了关键方案
AI 中文摘要
光谱天体测量是一种强大的光谱差分技术，用于探测低于分辨率极限的角尺度，但众所周知，它易受仪器伪影影响，这些伪影可模拟或掩盖真实信号。在近期用 Subaru/FIRST-PL 开展的光子 lantern 光谱天体测量的空中演示中，天体测量信号被编码在 lantern 输出之间的相对通量变化中，而非狭缝上的质心位移。这改变了伪影情况：一些基于狭缝的光谱天体测量伪影被避免，但出现了新的伪影机制，包括探测器非线性和光谱提取误差，这些可在发射线或吸收线上产生虚假特征。这些经验直接指导了 PLred 的设计，PLred 是一个用于光子 lantern 数据 reduction 及与仪器无关的光谱差分图像重建的开源 Python 包。我们描述了这些伪影的起源以及用于缓解它们的关键 pipeline 设计选择。
英文摘要
Spectroastrometry is a powerful spectral-differential technique for probing angular scales below the resolution limit, but it is also well known to be susceptible to instrumental artifacts that can mimic or obscure real signals. In photonic lantern spectroastrometry, recently demonstrated on-sky with Subaru/FIRST-PL, the astrometric signal is encoded in relative flux variations between lantern outputs rather than in centroid shifts along a slit. This changes the artifact landscape: some slit-based spectroastrometric artifacts are avoided, but new artifact mechanisms emerge, including detector nonlinearity and spectral extraction errors, which can produce spurious features on emission or absorption lines. These lessons directly informed the design of PLred, an open source Python package for photonic lantern data reduction and instrument-agnostic spectral-differential image reconstruction. We describe the origin of these artifacts and the key pipeline design choices used to mitigate them.
Comments9 pages, 5 figures, 2026 SPIE Astronomical Telescopes + Instrumentation proceeding
Journal refProc. SPIE 14148, Optical and Infrared Interferometry and Imaging X, 1414840 (2026)
