论文标题
珀金斯红外外卫星调查(PINES)I。调查概述,减少管道和早期结果
The Perkins INfrared Exosatellite Survey (PINES) I. Survey Overview, Reduction Pipeline, and Early Results
论文作者
论文摘要
我们描述了珀金斯红外外卫星调查(PINES),近红外光度搜索短周期过渡行星和393个光谱证实的L-和T型矮人的样品周围的卫星。派恩斯与位于亚利桑那州安德森梅萨的波士顿大学的1.8 m珀金斯望远镜天文台进行。我们讨论了调查的观察策略,该策略旨在优化预期的过境检测数量,并描述执行松树观察的自定义自动观察程序。我们详细介绍了$ \ texttt {pines Analysis toolkit} $($ \ texttt {pat} $)的步骤,该软件用于从Pines ImageS创建光曲线。我们评估了由于不断变化的水蒸气对我们的观察结果而导致的二阶灭绝的影响,并发现在mauna kea observatories $ \ textit {j} $ - band中,这种效果的幅度最小化。我们通过恢复WASP-2 B和已知的可变棕色矮人的转运来证明$ \ texttt {pat} $的有效性,并使用它来识别一个新的变量L/T过渡对象:T2矮人明智的J045746.08-08-020719.2。我们报告了测量的测量光度精度,并使用它来估计我们的过境检测灵敏度。我们发现,对于我们的中位亮度目标,仅假设只有白噪声贡献,我们对检测2.5 $ r_ \ oplus $行星的敏感。 Pines将测试下,纳斯型行星的增加是否随着寄主质量的减少而持续到L和T矮人制度。
We describe the Perkins INfrared Exosatellite Survey (PINES), a near-infrared photometric search for short-period transiting planets and moons around a sample of 393 spectroscopically confirmed L- and T-type dwarfs. PINES is performed with Boston University's 1.8 m Perkins Telescope Observatory, located on Anderson Mesa, Arizona. We discuss the observational strategy of the survey, which was designed to optimize the number of expected transit detections, and describe custom automated observing procedures for performing PINES observations. We detail the steps of the $\texttt{PINES Analysis Toolkit}$ ($\texttt{PAT}$), software that is used to create light curves from PINES images. We assess the impact of second-order extinction due to changing precipitable water vapor on our observations and find that the magnitude of this effect is minimized in Mauna Kea Observatories $\textit{J}$-band. We demonstrate the validity of $\texttt{PAT}$ through the recovery of a transit of WASP-2 b and known variable brown dwarfs, and use it to identify a new variable L/T transition object: the T2 dwarf WISE J045746.08-020719.2. We report on the measured photometric precision of the survey and use it to estimate our transit detection sensitivity. We find that for our median brightness targets, assuming contributions from white noise only, we are sensitive to the detection of 2.5 $R_\oplus$ planets and larger. PINES will test whether the increase in sub-Neptune-sized planet occurrence with decreasing host mass continues into the L and T dwarf regime.