First results from the LUCID-Timepix spacecraft payload onboard the TechDemoSat-1 satellite in Low Earth Orbit

被引:17
作者
Furnell, Will [1 ,2 ]
Shenoy, Abhishek [1 ,3 ]
Fox, Elliot [1 ,3 ]
Hatfield, Peter [1 ,4 ]
机构
[1] Inst Res Sch, Wellcome Wolfson Bldg,165 Queens Gate, London SW7 5HD, England
[2] Univ Kent, Sch Comp, Canterbury CT2 7NF, Kent, England
[3] Langton Star Ctr, Langton Lane,Nackington Rd, Canterbury CT4 7AS, Kent, England
[4] Univ Oxford, Clarendon Lab, Parks Rd, Oxford OX1 3PU, England
基金
英国科学技术设施理事会; 英国工程与自然科学研究理事会;
关键词
Low Earth Orbit; Space radiation; Trapped radiation; Cosmic rays; Timepix; South Atlantic Anomaly; PIXEL DETECTOR TIMEPIX; NEURAL-NETWORKS; READOUT CHIP; COSMIC-RAYS; NIGHTSIDE MAGNETOSPHERE; RADIATION ENVIRONMENT; PATTERN-RECOGNITION; IONIZING-RADIATION; GALAXY ZOO; MEDIPIX2;
D O I
10.1016/j.asr.2018.10.045
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
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 (similar to 635 km). 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. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:1523 / 1540
页数:18
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