Solar Jet Hunter: a citizen science initiative to identify coronal jets in EUV data sets

• DOI: 10.48550/arxiv.2309.14871
• Publication Date: 2023-01-01
• Authors: Sophie Musset; P. Jol; Raman Sankar; S. Alnahari; C. Kapsiak; Emma Östlund; Kekoa Lasko; Lindsay Glesener; L. Fortson; Gregory D. Fleishman; Navdeep K. Panesar; Yixian Zhang; M. Jeunon; N. E. Hurlburt
• Keywords: Extreme Ultraviolet Lithography

Context. Solar coronal jets seen in EUV are ubiquitous on the Sun, have been found and at edges of active regions, boundaries holes, quiet Sun. Jets various shapes, sizes, brightness, velocities duration time, which complicates their detection by automated algorithms. So far, solar reported Heliophysics Event Knowledgebase (HEK) mostly humans looking for them data, with different levels precision regarding timing positions. Aims. We create a catalogue observed 304 {\AA} containing precise consistent information jet timing, position extent. Methods. designed citizen science project, "Solar Jet Hunter", Zooniverse platform, to analyze observations from Dynamic Observatory/Atmospheric Imaging Assembly (SDO/AIA). created movie strips regions Sun HEK ask volunteers 1) confirm presence least one data 2) report extent jet. Results. here design project results obtained after analysis 2011 2016. 365 "coronal jet" events served as input equivalent more than 120,000 images distributed into 9,689 "movie strips". Classification scientists resulted only 21% jet, 883 individual being identified. Conclusions. demonstrate how can enhance example Hunter. The thus is publicly available will enable statistical studies related phenomena. This also be used training set machines learn recognize further sets.