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首页> 外文期刊>The Astrophysical journal >OPTIMAL SURVEY STRATEGIES AND PREDICTED PLANET YIELDS FOR THE KOREAN MICROLENSING TELESCOPE NETWORK
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OPTIMAL SURVEY STRATEGIES AND PREDICTED PLANET YIELDS FOR THE KOREAN MICROLENSING TELESCOPE NETWORK

机译:韩国微透镜电视网络的最佳调查策略和预计的单产

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The Korean Microlensing Telescope Network (KMTNet) will consist of three 1.6?m telescopes each with a 4?deg2 field of view (FoV) and will be dedicated to monitoring the Galactic Bulge to detect exoplanets via gravitational microlensing. KMTNet's combination of aperture size, FoV, cadence, and longitudinal coverage will provide a unique opportunity to probe exoplanet demographics in an unbiased way. Here we present simulations that optimize the observing strategy for and predict the planetary yields of KMTNet. We find preferences for four target fields located in the central Bulge and an exposure time of t exp = 120?s, leading to the detection of ~2200 microlensing events per year. We estimate the planet detection rates for planets with mass and separation across the ranges 0.1 ≤ Mp /M ⊕ ≤ 1000 and 0.4 ≤ a/AU ≤ 16, respectively. Normalizing these rates to the cool-planet mass function of Cassan et al., we predict KMTNet will be approximately uniformly sensitive to planets with mass 5 ≤ Mp /M ⊕ ≤ 1000 and will detect ~20 planets per year per dex in mass across that range. For lower-mass planets with mass 0.1 ≤ Mp /M ⊕ 5, we predict KMTNet will detect ~10 planets per year. We also compute the yields KMTNet will obtain for free-floating planets (FFPs) and predict KMTNet will detect ~1 Earth-mass FFP per year, assuming an underlying population of one such planet per star in the Galaxy. Lastly, we investigate the dependence of these detection rates on the number of observatories, the photometric precision limit, and optimistic assumptions regarding seeing, throughput, and flux measurement uncertainties.
机译:韩国微透镜望远镜网络(KMTNet)将由三个1.6?m望远镜组成,每个望远镜具有4°2的视场(FoV),并将专门用于监视银河凸起以通过重力微透镜探测系外行星。 KMTNet将孔径大小,FoV,节奏和纵向覆盖范围结合在一起,将为以独特的方式探测系外行星人口统计数据提供独特的机会。在这里,我们介绍了一些模拟,这些模拟优化了KMTNet的观测策略并预测了其行星产量。我们发现位于中央凸起处的四个目标场的偏爱,并且曝光时间为t exp = 120?s,导致每年检测到约2200个微透镜事件。我们估计质量和分离度分别在0.1≤Mp / M≤≤1000和0.4≤a / AU≤16范围内的行星的行星检测率。将这些比率对Cassan等人的冷行星质量函数进行归一化,我们预测KMTNet将对质量5≤Mp / M 1000≤1000的行星大致均匀敏感,并且每年将检测到每dex质量约20个行星范围。对于质量≤0.1≤Mp / M⊕<5的低质量行星,我们预测KMTNet每年将检测到约10颗行星。我们还计算了KMTNet将获得的自由漂浮行星(FFP)的产量,并预测KMTNet每年将检测到约1个地球质量FFP,假设银河系中每颗恒星的潜在人口为一个此类行星。最后,我们研究了这些探测率对天文台数量,光度精度极限以及有关视线,吞吐量和通量测量不确定度的乐观假设的依赖性。

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