低地球轨道TechDemoSat-1卫星上LUCID-Timepix航天器有效载荷的初步结果
First results from the LUCID-Timepix spacecraft payload onboard the TechDemoSat-1 satellite in Low Earth Orbit
摘要：
朗顿终极宇宙射线强度探测器（LUCID）是TechDemoSat-1卫星上的一个有效载荷，用于研究低地球轨道（$\sim$ 635公里）的辐射环境。LUCID从2014年到2017年运行，从船上的五个Timepix探测器收集了超过210万帧的辐射数据。LUCID是Timepix探测器技术在开放空间的首次使用之一，其数据为该技术在新环境中的性能提供了有用的见解。它提供混合辐射场的高灵敏度成像测量，在光谱响应、粒子类型和方向方面具有宽的动态范围。这些数据已经使用GridPP提供的计算资源进行了分析，并使用了一种使用Tensorflow框架的新机器学习算法。该算法提供了一种新的方法来处理Medipix数据，使用人类标记的轨迹的训练集，提供比其他算法更高的粒子分类精度。为了管理LUCID数据，我们开发了一个名为Timepix分析平台的在线平台。这为用户提供了一种快速简单的方法来分析他们使用Timepix探测器从LUCID和其他实验中收集的数据。我们还提出了一些未来可能使用的LUCID数据和Medipix探测器在太空中。
英文摘要：
The Langton Ultimate Cosmic ray Intensity Detector (LUCID) is a payload onboard the satellite TechDemoSat-1, used to study the radiation environment in Low Earth Orbit ($\sim$635km). LUCID operated from 2014 to 2017, collecting over 2.1 million frames of radiation data from its five Timepix detectors on board. LUCID is one of the first uses of the Timepix detector technology in open space, with the data providing useful insight into the performance of this technology in new environments. It provides high-sensitivity imaging measurements of the mixed radiation field, with a wide dynamic range in terms of spectral response, particle type and direction. The data has been analysed using computing resources provided by GridPP, with a new machine learning algorithm that uses the Tensorflow framework. This algorithm provides a new approach to processing Medipix data, using a training set of human labelled tracks, providing greater particle classification accuracy than other algorithms. For managing the LUCID data, we have developed an online platform called Timepix Analysis Platform at School (TAPAS). This provides a swift and simple way for users to analyse data that they collect using Timepix detectors from both LUCID and other experiments. We also present some possible future uses of the LUCID data and Medipix detectors in space.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
