论文标题
开普勒任务的科学功能功能
Science Merit Function for the KEPLER Mission
论文作者
论文摘要
开普勒任务是NASA Discovery类任务,旨在连续监视至少100,000颗恒星的亮度,以确定绕其他恒星绕的地球大小和大行星的频率。一旦选择了开普勒提案以获取飞行机会,就必须优化设计以实现该提案中指定的雄心勃勃的目标,并且仍然留在可用的资源中。为了最大程度地利用传教士的科学回报,建立了一个优点功能(MF),该功能将科学价值(由PI和科学团队确定)与所选的任务特征以及行星和恒星系统的模型相关联。该MF有几个目的;拟议任务的科学结果的预测,改变任务参数的价值以增加科学产品或降低任务成本以及评估风险的影响。优点功能对于通过说明其预期能力来提倡任务的目的也很有价值。后来,它被用来使管理层通知任务的不断变化,因为发生了权衡和任务缩小规模。 MF由恒星环境的模型组成,假定的系外行星特征和分布,任务点设计的参数值以及将科学价值与检测到的系外行星的预测数和分布相关的方程。提出了MF模型和代表性结果的描述。
The Kepler Mission was a NASA Discovery-class mission designed to continuously monitor the brightness of at least 100,000 stars to determine the frequency of Earth-size and larger planets orbiting other stars. Once the Kepler proposal was chosen for a flight opportunity, it was necessary to optimize the design to accomplish the ambitious goals specified in the proposal and still stay within the available resources. To maximize the science return from the mission, a merit function (MF) was constructed that relates the science value (as determined by the PI and the Science Team) to the chosen mission characteristics and to models of the planetary and stellar systems. This MF served several purposes; prediction of the science results of the proposed mission, effects of varying the values of the mission parameters to increase the science product or to reduce the mission costs, and assessment of risks. The Merit Function was also valuable for the purposes of advocating the Mission by illustrating its expected capability. Later, it was used to keep management informed of the changing mission capability as trade-offs and mission down-sizing occurred. The MF consisted of models of the stellar environment, assumed exoplanet characteristics and distributions, parameter values for the mission point-design, and equations that related the science value to the predicted number and distributions of detected exoplanets. A description of the MF model and representative results are presented.