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Launching the VASCO citizen science project

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arxiv 2009.10813 v4 pith:PPC2CH37 submitted 2020-09-22 astro-ph.IM astro-ph.EPastro-ph.HE

classification astro-ph.IMastro-ph.EPastro-ph.HE
keywords citizenscienceprojectvascocandidatescandidatedatalearning
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Mysterious Transients in the Palomar Observatory Sky Survey (POSS-1) as profound manifestation of the Dark Matter physics

    hep-ph 2026-08 conditional novelty 4.0 of 10

    The paper identifies Palomar mysterious transients as flashes from spallation of axion quark nugget dark matter hitting the atmosphere, with rates and features claimed consistent with VASCO observations.

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