Conference item
The LUCID-Timepix spacecraft payload and the CERN@school educational programme
- Abstract:
- 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 (~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. The data has been analysed using computing resources provided by GridPP, with a novel machine learning algorithm. 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 school based Timepix projects. These projects constitute a secondary school programme 'CERN@school' that give a framework for novel implementations of conventional classroom experiments using Timepix, as well as letting students contribute to large international scientific collaborations and devise their own research projects.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
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(Preview, Accepted manuscript, pdf, 1.7MB, Terms of use)
-
- Publisher copy:
- 10.1088/1748-0221/13/10/C10004
Authors
- Publisher:
- IOP Publishing
- Host title:
- Journal of Instrumentation
- Journal:
- Journal of Instrumentation More from this journal
- Volume:
- 13
- Issue:
- October 2018
- Article number:
- C10004
- Publication date:
- 2018-10-29
- Acceptance date:
- 2018-10-17
- DOI:
- ISSN:
-
1748-0221
- Keywords:
- Pubs id:
-
pubs:941142
- UUID:
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uuid:a562abb9-fb09-45bc-af04-5a353c1ac622
- Local pid:
-
pubs:941142
- Source identifiers:
-
941142
- Deposit date:
-
2018-11-15
Terms of use
- Copyright holder:
- IOP Publishing Ltd and Sissa Medialab
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 IOP Publishing Ltd and Sissa Medialab. This is the accepted manuscript version of the article. The final version is available online from IOP Publishing at: https://doi.org/10.1088/1748-0221/13/10/C10004
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