Newton STFC-NARIT: Exoplanet Citizen Science with the Thai Robotic Telescope Network

泰国在最近的国际科学素养调查中的表现令人失望，包括最近的2018年国际学生评估项目（PISA）调查，泰国参加了53/78个国家的测试，这突显了泰国高中科学素养战略创新的必要性。我们的目标是利用现有的英泰系外行星研究网络来激励学生并帮助提高高中阶段的科学素养。系外行星的研究是一个相对较新的领域，是STFC的一个高优先级研究领域，众所周知，它激发了学校学生和公众的想象力。系外行星大气光谱和光度研究网络（Spearnet）是一个英泰合作项目，利用泰国的全球光学望远镜网络系统地研究系外行星的大气。许多系外行星探测和表征背后的关键原理都是在高中阶段向学生介绍的，比如质量矩、多普勒效应、光谱学和光的本质。我们将利用我们活跃的英国-泰国SPEARNET项目作为科学素养的催化剂，开发一个公民科学系外行星中心，我们将利用它来培训泰国各地的高级学生，使他们掌握用于系外行星研究的数据处理和分析技术。这些原则和技术将在所有需要对大型复杂数据集进行分析和建模的科学和技术部门之间具有高度的知识转移。系外行星中心将提供泰语和英语两种语言，并将展示我们如何发现和描述系外行星；-包括解释所使用的基本原理和技术；-使学生能够选择他们自己的系外行星目标，使用泰国机器人望远镜网络进行观测；-以互动方式引导学生完成科学过程的各个阶段，包括图像采集、数据处理、理论建模和解释。泰国各地的学生将能够使用我们用来获取和减少科学数据的工具版本，这些数据将告诉我们系外行星大气的特征。他们将获得现代科学如何开发复杂的自动化工具来处理大数据时代越来越大的数据集的知识。

The need for innovation in Thailand's science literacy strategy at upper secondary level is underscored by disappointing placements in recent international surveys of science literacy, including the recent PISA 2018 survey that places Thailand 53/78 countries tested. We aim to use an existing UK-Thai exoplanet research network to inspire students and help improve science literacy at upper secondary level. The study of exoplanets, planets around stars beyond our Sun, is a relatively new field that is a high priority STFC research area and is known to fire the imagination of the school students and indeed the general public. The Spectroscopy and Photometry of Exoplanet Atmospheres Research Network (Spearnet) is a UK-Thai collaboration that is using Thailand's global optical telescope network to systematically study the atmospheres of exoplanets. Many of the key principles that lie behind the detection and characterisation of exoplanets are introduced to students at upper secondary level, such as mass moments, the Doppler effect, spectroscopy and the nature of light. We will use our active UK-Thai SPEARNET programme as a science literacy catalyst to develop a Citizen Science Exoplanet Hub that we will use to train advanced school students across Thailand in data processing and analysis techniques used for exoplanet research. The principles and techniques will have high knowledge transfer across all Science and Technology sectors that require analysis and modelling of large and complex datasets. The Exoplanet Hub will be available in both Thai and English languages and will- showcase how we find and characterise exoplanets; - include explainers behind the underlying principles and technologies used;- enable students to select their own exoplanet targets for observation with the Thai Robotic Telescope network;- guide students interactively through all stages of the science process, including image acquisition, data processing, and theoretical modelling and interpretation.Students across Thailand will be able to use versions of the tools that we use to obtain and reduce scientific data that will tell us about the characteristics of exoplanet atmospheres. They will gain knowledge in how modern science is developing sophisticated automated tools to deal with ever larger data sets within the era of Big Data.