CDS&E: Development of fast, multi-dimensional Gaussian Processes for Exoplanet discovery and beyond

CDS

• 批准号: 1907342
• 负责人: Eric Agol
• 金额: $ 47.1万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1907342&HistoricalAwards=false
• 关键词: CDS&E; Development; fast; multi; dimensional

All astronomical observations are subject to unwanted "noise:" signals that can mask the output from the object to be studied. Noise can come from the telescope and detector, from the atmosphere, from other objects in the sky, or from intrinsic variations in the object to be studied. The PI will use the technique known as Gaussian Processing to model and reduce the interference of astronomical noise to facilitate the study of planets around other stars. These planets are studied by their "eclipses," or transits, in front of the star. Many stars, however, vary in their light output, and this can cause a misinterpretation of the transit data. The method to be developed will help reduce the noise due to the variability of the star. A graduate student will be trained, and undergraduate students will be involved in the research. The computational techniques developed will be applicable to fields beyond astronomy.The proposer will develop a method for finding small transiting exoplanets and/or exomoons in the presence of stellar variability. Stellar brightness variations are correlated across time and wavelength, and the fast computational method he proposes to develop will be employed to use these correlations to distinguish between transits and random dips in stellar brightness. This technique will be extended to account for outliers and can be applied to other types of exoplanet and astronomical data, as well as data in other fields. The code written under this proposal will be made available to the community through open-access development.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

所有的天文观测都会受到不必要的“噪声”的影响：这些信号可能会掩盖被研究对象的输出。噪声可以来自望远镜和探测器，来自大气，来自天空中的其他物体，或者来自待研究物体的内在变化。PI将使用被称为高斯处理的技术来建模并减少天文噪声的干扰，以便于研究其他恒星周围的行星。这些行星是通过它们在恒星前面的“日食”或凌日来研究的。然而，许多恒星的光输出各不相同，这可能会导致对凌日数据的误解。即将开发的方法将有助于降低由于恒星的变化性而产生的噪音。一名研究生将接受培训，本科生将参与研究。开发的计算技术将适用于天文学以外的领域。提出者将开发一种方法，在存在恒星可变性的情况下寻找小型凌日系外行星和/或系外行星。恒星亮度的变化在时间和波长上是相关的，他建议开发的快速计算方法将被用来使用这些相关性来区分恒星亮度的凌日和随机下降。这项技术将扩展到解释异常值，并可应用于其他类型的系外行星和天文数据，以及其他领域的数据。根据这项提案编写的代码将通过开放获取开发提供给社区。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

A Fast, Two-dimensional Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization

• DOI: 10.3847/1538-3881/abbc16
• 发表时间: 2020-07
• 期刊: The Astronomical Journal
• 作者: Tyler A. Gordon;E. Agol;D. Foreman-Mackey

Analytic Light Curve for Mutual Transits of Two Bodies Across a Limb-darkened Star

两个天体穿越肢体黑暗恒星相互凌日的解析光曲线

• DOI: 10.3847/1538-3881/ac82b1
• 发表时间: 2022
• 期刊: The Astronomical Journal
• 作者: Gordon, Tyler A.;Agol, Eric
• 通讯作者: Agol, Eric

Stellar Rotation in the K2 Sample: Evidence for Modified Spin-down

• DOI: 10.3847/1538-4357/abf63e
• 发表时间: 2021-01
• 期刊: The Astrophysical Journal
• 作者: Tyler A. Gordon;J. Davenport;R. Angus;D. Foreman-Mackey;E. Agol;K. Covey;M. Agüeros;D. Kipping

The Perkins INfrared Exosatellite Survey (PINES). II. Transit Candidates and Implications for Planet Occurrence around L and T Dwarfs

帕金斯红外外卫星巡天 (PINES)。

• DOI: 10.3847/1538-3881/ac9a52
• 发表时间: 2022
• 期刊: The Astronomical Journal
• 作者: Tamburo, Patrick;Muirhead, Philip S.;McCarthy, Allison M.;Hart, Murdock;Vos, Johanna M.;Agol, Eric;Theissen, Christopher;Gracia, David;Bardalez Gagliuffi, Daniella C.;Faherty, Jacqueline
• 通讯作者: Faherty, Jacqueline

Analytic Light Curves in Reflected Light: Phase Curves, Occultations, and Non-Lambertian Scattering for Spherical Planets and Moons

• DOI: 10.3847/1538-3881/ac4017
• 发表时间: 2021-03
• 期刊: The Astronomical Journal
• 作者: R. Luger;E. Agol;F. Bartoli'c;D. Foreman-Mackey