Exoplanet imaging data challenge, phase 2

<strong>Datasets for the second phase of the Exoplanet Imaging Data Challenge</strong> (https://exoplanet-imaging-challenge.github.io). The second phase of the Exoplanet Imaging Data Challenge is focused on the characterisation of exoplanet signals in high-contrast imaging data. The participants must perform two tasks: provide (1) astrometry of the detected signals, and (2) spectrophotometry of the detected signals. For this phase, we therefore provide with <strong>8</strong> high-contrast data sets, taken with two integral field spectrographs: SPHERE-IFS installed at the Very Large Telescope (VLT, Chile) and GPI installed at the Gemini-South telescope (Chile). Each data set consists of the following files (in <em>.fits</em> format): (a) <em>image_cube_instxx.fits</em>: the coronagraphic multispectral image cube, acquired in pupil-stabilized mode;<br> (b) <em>parallactic_angles_instxx.fits</em>: the corresponding parallactic angle and airmass variation during the observation sequence;<br> (c) <em>wavelength_vect_instxx.fits</em>: the corresponding wavelength vector for each spectral channel;<br> (d) <em>psf_cube_instxx.fits</em>: the non-coronagraphic (point spread function) multispectral image of the target star;<br> (e) <em>first_guess_astrometry_instxx.fits</em>: a first guess position w.r.t the star of the (2 or 3) injected planetary signals. Each data set has 2 to 3 injected planetary signals in various locations.<br> Each data set has very different observing conditions, from very good to very bad. <em>Additional information and ressources can be found on the website and dedicated Github repository.</em> <em>The results of the data challenge must be submitted directly by participants on the EvalAI platform.</em>

**系外行星成像数据挑战赛（Exoplanet Imaging Data Challenge）第二阶段数据集**（https://exoplanet-imaging-challenge.github.io）。
本次挑战赛第二阶段的核心目标为对高对比度成像（high-contrast imaging）数据中的系外行星信号开展特征表征。参赛者需完成两项任务：(1) 对探测到的信号进行天体测量（astrometry）；(2) 对探测到的信号开展分光光度法（spectrophotometry）分析。
本阶段我们共提供8组高对比度成像数据集，采集自两台积分场光谱仪：安装于智利甚大望远镜（Very Large Telescope, VLT）的SPHERE-IFS，以及安装于智利南双子座望远镜的GPI。
每组数据集均包含以下FITS格式文件：
(a) <em>image_cube_instxx.fits</em>：采用光瞳稳定模式采集的星冕多光谱图像立方体；
(b) <em>parallactic_angles_instxx.fits</em>：观测序列对应的视差角（parallactic angle）与大气质量（airmass）变化数据；
(c) <em>wavelength_vect_instxx.fits</em>：各光谱通道对应的波长矢量；
(d) <em>psf_cube_instxx.fits</em>：目标恒星的非星冕点扩散函数（point spread function, PSF）多光谱图像立方体；
(e) <em>first_guess_astrometry_instxx.fits</em>：注入的2至3颗行星信号相对于宿主恒星的初始天体测量位置估计值。
每组数据集均包含2至3个分布于不同位置的注入式行星信号，且各组数据集的观测条件差异显著，覆盖极佳至极差的全部观测场景。
更多信息与相关资源可查阅官方网站及专属GitHub仓库。本次挑战赛的参赛结果需由参赛者直接提交至EvalAI平台。