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Authors = Kristiaan Pelckmans

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15 pages, 10788 KiB  
Article
Launching the VASCO Citizen Science Project
by Beatriz Villarroel, Kristiaan Pelckmans, Enrique Solano, Mikael Laaksoharju, Abel Souza, Onyeuwaoma Nnaemeka Dom, Khaoula Laggoune, Jamal Mimouni, Hichem Guergouri, Lars Mattsson, Aurora Lago García, Johan Soodla, Diego Castillo, Matthew E. Shultz, Rubby Aworka, Sébastien Comerón, Stefan Geier, Geoffrey W. Marcy, Alok C. Gupta, Josefine Bergstedt, Rudolf E. Bär, Bart Buelens, Emilio Enriquez, Christopher K. Mellon, Almudena Prieto, Dismas Simiyu Wamalwa, Rafael S. de Souza and Martin J. Wardadd Show full author list remove Hide full author list
Universe 2022, 8(11), 561; https://doi.org/10.3390/universe8110561 - 27 Oct 2022
Cited by 5 | Viewed by 4250
Abstract
The Vanishing & Appearing Sources during a Century of Observations (VASCO) project investigates astronomical surveys spanning a time interval of 70 years, searching for unusual and exotic transients. We present herein the VASCO Citizen Science Project, which can identify unusual candidates driven by [...] Read more.
The Vanishing & Appearing Sources during a Century of Observations (VASCO) project investigates astronomical surveys spanning a time interval of 70 years, searching for unusual and exotic transients. We present herein the VASCO Citizen Science Project, which can identify unusual candidates driven by three different approaches: hypothesis, exploratory, and machine learning, which is particularly useful for SETI searches. To address the big data challenge, VASCO combines three methods: the Virtual Observatory, user-aided machine learning, and visual inspection through citizen science. Here we demonstrate the citizen science project and its improved candidate selection process, and we give a progress report. We also present the VASCO citizen science network led by amateur astronomy associations mainly located in Algeria, Cameroon, and Nigeria. At the moment of writing, the citizen science project has carefully examined 15,593 candidate image pairs in the data (ca. 10% of the candidates), and has so far identified 798 objects classified as “vanished”. The most interesting candidates will be followed up with optical and infrared imaging, together with the observations by the most potent radio telescopes. Full article
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