Transmission Spectroscopy of Hot Jupiters and Neptunes

热木星和海王星的透射光谱

• 批准号: 1963670
• 金额: --
• 依托单位: University of Manchester
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1963670
• 关键词: Transmission; Spectroscopy; Hot; Jupiters; Neptunes

The aim of this project is to enable the automated selection oftransiting exoplanet candidates for transmission spectroscopy follow-up. This project willdevelop an exoplanet atmosphere fitting routine and also metrics that classify how newtransmission spectroscopy data improves model discrimination. This work will become acentral component within the overall automated target selection pipeline beingdeveloped by SPEARNET (Spectroscopy and Photometry of Exoplanetary AtmospheresNetwork). SPEARNET is a UK-Thai collaboration which is using a heterogeneous telescopenetwork to select and follow-up exoplanet transiting systems.

该项目的目的是能够自动选择过境系外行星候选者进行透射光谱跟踪。该项目将开发一个系外行星大气拟合程序，以及对新的透射光谱数据如何提高模型识别率进行分类的指标。这项工作将成为SPEARNET（系外行星大气光谱学和光度学网络）开发的整个自动目标选择管道中的核心组成部分。SPEARNET是英国和泰国的一个合作项目，正在使用一个异构的卫星网络来选择和跟踪系外行星凌日系统。

项目成果

Optimizing exoplanet atmosphere retrieval using unsupervised machine-learning classification

使用无监督机器学习分类优化系外行星大气检索

• 发表时间: 2019
• 期刊: arXiv e-prints
• 作者: Hayes Joshua J. C.