Abstract
Recent developments in space instrumentation for solar observations and increased telemetry have necessitated the creation of advanced pattern recognition tools for different classes of solar events. The Extreme Ultraviolet Imaging Telescope (EIT) onboard the SOHO spacecraft has uncovered a new class of eruptive events on the solar disk, which are often identified as signatures of the initiation of coronal mass ejections (CMEs). The development of an automatic detection tool of these signatures is an important task. The Novel EIT Wave Machine Observing (NEMO) code ( http://sidc.be/nemo ) is an operational tool that automatically detects EUV waves using a sequence of EUV images. NEMO applies techniques based on the general statistical properties of the underlying physical mechanisms of eruptive events. Originally, the technique was applied to images taken with the EIT telescope. In this work, the most recent updates of the NEMO code are presented. These updates include calculations of the area of the dimming region, a novel clustering technique for the extraction of dimming regions, and new criteria to identify eruptive dimmings based on their complex characteristics. The efficiency of NEMO has been significantly increased and now permits the extraction of dimming regions observed near the solar limb and also the detection of small-scale events. Furthermore, the catalogs of solar eruptive events based on the updated NEMO may include a larger number of physical parameters associated with the dimming regions.
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Podladchikova, O., Vuets, A., Leontiev, P. et al. Recent Developments of NEMO: Detection of EUV Wave Characteristics. Sol Phys 276, 479–490 (2012). https://doi.org/10.1007/s11207-011-9894-3
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DOI: https://doi.org/10.1007/s11207-011-9894-3