Version 1
: Received: 13 September 2023 / Approved: 14 September 2023 / Online: 15 September 2023 (03:54:32 CEST)
How to cite:
Parisot, O.; Jaziri, M. Assisting Observational Astronomy for Public with Smart Telescopes and eXplainable Artificial Intelligence. Preprints2023, 2023090997. https://doi.org/10.20944/preprints202309.0997.v1
Parisot, O.; Jaziri, M. Assisting Observational Astronomy for Public with Smart Telescopes and eXplainable Artificial Intelligence. Preprints 2023, 2023090997. https://doi.org/10.20944/preprints202309.0997.v1
Parisot, O.; Jaziri, M. Assisting Observational Astronomy for Public with Smart Telescopes and eXplainable Artificial Intelligence. Preprints2023, 2023090997. https://doi.org/10.20944/preprints202309.0997.v1
APA Style
Parisot, O., & Jaziri, M. (2023). Assisting Observational Astronomy for Public with Smart Telescopes and eXplainable Artificial Intelligence. Preprints. https://doi.org/10.20944/preprints202309.0997.v1
Chicago/Turabian Style
Parisot, O. and Mahmoud Jaziri. 2023 "Assisting Observational Astronomy for Public with Smart Telescopes and eXplainable Artificial Intelligence" Preprints. https://doi.org/10.20944/preprints202309.0997.v1
Abstract
Deep sky observation is a fascinating activity, but it requires favourable conditions in order to be fully appreciated. Complex equipment, light pollution around urban areas, lack of contextual information often prevents newcomers from making the most of their observations, restricting the field to a niche expert audience. In this paper, we show how combining the usage of smart telescopes with eXplainable Artificial Intelligence makes the practice of astronomy even more accessible and educative, and how it has been applied during outreach sessions In Luxembourg Greater Region.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.