论文标题

合成的罗马太空望远镜高纬度时间域调查:深田的超新星

A Synthetic Roman Space Telescope High-Latitude Time-Domain Survey: Supernovae in the Deep Field

论文作者

Wang, Kevin X., Scolnic, Dan, Troxel, M. A., Rodney, Steven A., Popovic, Brodie, Duff, Caleb, Filippenko, Alexei V., Foley, Ryan J., Hounsell, Rebekah, Jha, Saurabh W., Jones, David O., Joshi, Bhavin A., Long, Heyang, Macias, Phillip, Riess, Adam G., Rose, Benjamin M., Yamamoto, Masaya

论文摘要

NASA将在本十年的下半年推出Nancy Grace Roman Space望远镜(罗马),这将允许通过多个探针(包括IA Supernovae型(SNE IA))对暗能量进行定义的测量。为了改善调查策略的决策,我们创建了最初的逼真的罗马图像模拟,其中包括将人工SNE IA注入图像中的点源。我们的分析结合了对罗马模拟的工作,用于弱重力镜头研究以及SN样品的目录级模拟。我们已经在两年内创建了一个时间序列的图像,其中包含$ \ sim $ 1,050 sne ia,涵盖了计划的5平方度深度调查的1平方级子区域。我们已经公开发布了这些图像,以供社区使用,以及所有注射来源的输入目录。我们通过生成共同的图像并使用图像减法来恢复瞬态源,从这些图像中创建辅助产品。我们对这些图像进行了第一次使用分析,以测量星系检测效率,点源检测效率和宿主 - 伴随性关联偏见。可以在此处找到模拟图像:https://roman.ipac.caltech.edu/sims/sn_survey_image_sim.html。

NASA will launch the Nancy Grace Roman Space Telescope (Roman) in the second half of this decade, which will allow for a generation-defining measurement of dark energy through multiple probes, including Type Ia supernovae (SNe Ia). To improve decisions on survey strategy, we have created the first simulations of realistic Roman images that include artificial SNe Ia injected as point sources in the images. Our analysis combines work done on Roman simulations for weak gravitational lensing studies as well as catalog-level simulations of SN samples. We have created a time series of images over two years containing $\sim$ 1,050 SNe Ia, covering a 1 square degree subarea of a planned 5 square degree deep survey. We have released these images publicly for community use along with input catalogs of all injected sources. We create secondary products from these images by generating coadded images and demonstrating recovery of transient sources using image subtraction. We perform first-use analyses on these images in order to measure galaxy-detection efficiency, point source-detection efficiency, and host-galaxy association biases. The simulated images can be found here: https://roman.ipac.caltech.edu/sims/SN_Survey_Image_sim.html.

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