English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Context. Solar coronal jets seen in EUV are ubiquitous on the Sun, have beenfound in and at the edges of active regions, at the boundaries of coronalholes, and in the quiet Sun. Jets have various shapes, sizes, brightness,velocities and duration in time, which complicates their detection by automatedalgorithms. So far, solar jets reported in the Heliophysics Event Knowledgebase(HEK) have been mostly reported by humans looking for them in the data, withdifferent levels of precision regarding their timing and positions. Aims. Wecreate a catalogue of solar jets observed in EUV at 304 {\AA} containingprecise and consistent information on the jet timing, position and extent.Methods. We designed a citizen science project, "Solar Jet Hunter", on theZooniverse platform, to analyze EUV observations at 304 {\AA} from the SolarDynamic Observatory/Atmospheric Imaging Assembly (SDO/AIA). We created moviestrips for regions of the Sun in which jets have been reported in HEK and askthe volunteers to 1) confirm the presence of at least one jet in the data and2) report the timing, position and extent of the jet. Results. We report herethe design of the project and the results obtained after the analysis of datafrom 2011 to 2016. 365 "coronal jet" events from HEK served as input for thecitizen science project, equivalent to more than 120,000 images distributedinto 9,689 "movie strips". Classification by the citizen scientists resultedwith only 21% of the data containing a jet, and 883 individual jets beingidentified. Conclusions. We demonstrate how citizen science can enhance theanalysis of solar data with the example of Solar Jet Hunter. The catalogue ofjets thus created is publicly available and will enable statistical studies ofjets and related phenomena. This catalogue will also be used as a training setfor machines to learn to recognize jets in further data sets.

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