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arXiv 2607.06809astro-ph.IMastro-ph.EP
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欧洲南方天文台HARPS光谱仪的“完美”光谱

"Perfect" spectra for ESO's HARPS spectrograph

INAF - Osservatorio Astronomico di Trieste(意大利国家天体物理研究所的里雅斯特天文台);Institute for Fundamental Physics of the Universe(宇宙基础物理研究所);School of Computer Science and Applied Mathematics, University of the Witwatersrand(威特沃特斯兰德大学计算机科学与应用数学学院);Wits MIND Institute, University of the Witwatersrand(威特沃特斯兰德大学Wits MIND研究所);INAF – Osservatorio Astrofisico di Arcetri(意大利国家天体物理研究所阿切特里天文台)

Dinko Milaković, Guido Cupani, Bruce A. Bassett, Stefano Cristiani, Luca Pasquini

AI总结:

研究针对欧洲南方天文台HARPS光谱仪,利用基于激光频率梳观测构建的校准矩阵,通过正向模型从二维探测器数据重建一维光谱,应用于类星体数据,虽信噪比略低,但提供精确分辨率矩阵和独立样本,有助于更好测量基本常数和系外行星大气。

摘要:

HARPERFECT首次将“光谱完美主义”应用于高分辨率阶梯光栅光谱仪,通过基于由点扩散函数(PSF)形状、波长和阶迹组成的校准矩阵构建的正向模型,从二维探测器数据重建一维光谱,这些完全由激光频率梳(LFC)观测构建。HARPS无法分辨单个LFC线,所以21148条已识别线中的每条都直接对PSF进行采样。用二元高斯对其建模,更精确地确定探测器上的PSF形状、校准波长和追踪阶次。应用于类星体HE0515 - 4414的52.5小时HARPS数据时,HARPERFECT的信噪比与标准管道相当但略低。其价值在于精确的分辨率矩阵和独立样本,这是向更好测量基本常数和系外行星大气迈进的一步。

英文摘要:

HARPERFECT is the first application of "spectral perfectionism" to a high-resolution echelle spectrograph, reconstructing 1D spectra from 2D detector data via a forward model built on a calibration matrix consisting of point-spread function (PSF) shape, wavelength, and order trace, which were built entirely from laser frequency comb (LFC) observations. HARPS cannot resolve individual LFC lines, so each of 21 148 identified lines directly samples the PSF. We modelled these with a bivariate Gaussian, determining the PSF shape on the detector, calibrating wavelength, and tracing orders more accurately than the standard HARPS pipeline. Applied to 52.5 hours of HARPS data on quasar HE0515-4414, HARPERFECT gives S/N comparable to, though slightly lower than, the standard pipeline. Its value lies in an exact resolution matrix and independent samples, properties standard extraction cannot guarantee for a non-separable PSF - a step toward better measurements of fundamental constants and exoplanet atmospheres.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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