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  • 标题:A Simple Depth-of-Search Metric for Exoplanet Imaging Surveys
  • 本地全文:下载
  • 作者:Daniel Garrett ; Dmitry Savransky ; Bruce Macintosh
  • 期刊名称:The Astronomical journal
  • 印刷版ISSN:0004-6256
  • 电子版ISSN:1538-3881
  • 出版年度:2017
  • 卷号:154
  • 期号:2
  • 页码:1-16
  • DOI:10.3847/1538-3881/aa78f6
  • 语种:English
  • 出版社:American Institute of Physics
  • 摘要:We present a procedure for calculating expected exoplanet imaging yields that explicitly separates the effects of instrument performance from assumptions of planet distributions. This "depth-of-search" approach allows for fast recalculation of yield values for variations in instrument parameters. We also describe a new target star selection metric with no dependence on an assumed planet population that can be used as a proxy for single-visit completeness. This approach allows for the recovery of the total mission completeness via convolution of the depth-of-search grid with an equivalent grid of assumed occurrence rates and summation over the part of the grid representing the population of interest (e.g., Earth-like planets on habitable zone orbits, etc.). In this work, we discuss the practical details of calculating the depth-of-search and present results of such calculations for one design iteration of the WFIRST coronagraphs.
  • 关键词:methods: analytical ; methods: statistical ; planetary systems ; planets and satellites: detection
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