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Launching the VASCO Citizen Science Project

Authors :
Villarroel, Beatriz
Pelckmans, Kristiaan
Solano, Enrique
Laaksoharju, Mikael
Souza, Abel
Dom, Onyeuwaoma Nnaemeka
Laggoune, Khaoula
Mimouni, Jamal
Guergouri, Hichem
Mattsson, Lars
Garcia, Aurora Lago
Soodla, Johan
Castillo, Diego
Shultz, Matthew E.
Aworka, Rubby
Comeron, Sebastien
Geier, Stefan
Marcy, Geoffrey W.
Gupta, Alok C.
Bergstedt, Josefine
Bär, Rudolf E.
Buelens, Bart
Enriquez, Emilio
Mellon, Christopher K.
Prieto, Almudena
Wamalwa, Dismas Simiyu
de Souza, Rafael S.
Ward, Martin J.
Villarroel, Beatriz
Pelckmans, Kristiaan
Solano, Enrique
Laaksoharju, Mikael
Souza, Abel
Dom, Onyeuwaoma Nnaemeka
Laggoune, Khaoula
Mimouni, Jamal
Guergouri, Hichem
Mattsson, Lars
Garcia, Aurora Lago
Soodla, Johan
Castillo, Diego
Shultz, Matthew E.
Aworka, Rubby
Comeron, Sebastien
Geier, Stefan
Marcy, Geoffrey W.
Gupta, Alok C.
Bergstedt, Josefine
Bär, Rudolf E.
Buelens, Bart
Enriquez, Emilio
Mellon, Christopher K.
Prieto, Almudena
Wamalwa, Dismas Simiyu
de Souza, Rafael S.
Ward, Martin J.
Publication Year :
2022

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 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.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1372230041
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.3390.universe8110561