AI 中文总结
该研究针对JWST的MIRI中分辨率光谱仪构建PFPCs，可去除光谱伪影、提升信噪比，提供MRS-PFPC软件包供用户使用。
AI 中文摘要
詹姆斯·韦伯空间望远镜（JWST）的中红外仪器（MIRI）中分辨率光谱仪（MRS）具备获取5至28微米波段光谱的能力。JWST数据处理管道可去除大部分但非全部仪器伪影，所得光谱的信噪比（S/N）受限于固定模式噪声。基于前期工作，点固定模式校正（PFPCs）利用O型、A型、G型矮星流量校准星及采用默认四点抖动模式的小行星观测数据构建而成。PFPCs可应用于采用目标获取及相同抖动模式获取的点源光谱，根据源的光谱特性，可单独使用或与管道残余条纹校正结合使用。PFPCs可去除窄带和宽带伪影，无论光谱信噪比如何均可改善光谱；对于高信噪比观测，PFPCs可将信噪比显著提升数倍，使信噪比达到1000或更高。本文提供MRS-PFPC Python软件包，供所有人将PFPCs应用于自身数据。
英文摘要
The JWST Mid-Infrared Instrument Medium Resolution Spectrometer provides the capability to obtain spectra from 5-28 micron. The JWST data reduction pipeline removes the majority but not all of the instrument artifacts and the signal-to-noise (S/N) of the resulting spectra are limited by fixed pattern noise. Building on previous work, Point Fixed Pattern Corrections (PFPCs) are constructed using observations of O, A, and G dwarf flux calibration stars and asteroids taken using the default four point dither pattern. The PFPCs can be applied to spectra of point sources taken with target acquisition and the same dither pattern. They can be used alone or with the pipeline residual fringe correction depending on the sources spectral properties. Both narrow and broad artifacts are removed by the PFPCs improving the spectra regardless of their S/N. For higher S/N observations, the PFPCs significantly improve the S/N by up to factors of a few and S/N values of 1000 or more. The MRS-PFPC python package is provided to allow anyone to utilize the PFPCs for their own data.
Comments12 pages, 6 figures, accepted to AJ
