SNEMO 和 SUGAR 伴生数据集

SNEMO 和 SUGAR 伴生数据集由劳伦斯伯克利国家实验室物理部创建，包含2004至2013年间观测的210个Ia型超新星的视向速度光度测量数据。数据集使用SuperNova Integral Field Spectrograph (SNIFS) 仪器在夏威夷大学2.2米望远镜上连续观测，覆盖全地面光学窗口。数据集创建过程中，超新星的流量已校准，宿主星系已减去，并已修正银河尘埃消光。该数据集主要用于宇宙学分析，旨在解决暗能量状态方程的测量问题。

The SNEMO and SUGAR companion dataset was created by the Physics Division of Lawrence Berkeley National Laboratory. It contains photometric and radial velocity data of 210 Type Ia supernovae observed between 2004 and 2013. The dataset was continuously acquired using the SuperNova Integral Field Spectrograph (SNIFS) instrument mounted on the University of Hawaii 2.2-meter Telescope, covering the entire ground-based optical window. During the dataset preparation, the supernova fluxes have been calibrated, host galaxy light has been subtracted, and Galactic dust extinction has been corrected. This dataset is primarily intended for cosmological analyses, aiming to solve the problem of measuring the dark energy equation of state.