| Automatic solar event recognition and analysis is vital for solar sciences,
space weather purposes and automatic data selection from the huge modern data flow.
CMEs and flares are the principal objects of automatic investigation and
However, in the last decade or so, EUV solar imaging from space
have revealed a rich diversity of solar disk events, such as dimmings,
global waves, post-eruptive arcades, long duration flares and so on.
A part of these phenomena that precede CME are called On-Disk-Eruptions (OnDsE).
NEMO (http://sidc/be/nemo) is a code that automatically detect and extract from
the EUV solar disk OnDsE events, paying particular attention to the dimmings
and the so-called EIT waves. The code consists of the 3 main steps: \'Detection\',
\'Extraction\' and \'Validation\'. NEMO has successfully passed tests and comparison to
existing \'hand-made\' catalogues, and currently works at the SIDC, making
detections in real time using SOHO/EIT quicklook data. A scan of the whole SOHO/EIT catalog
found several new interesting events. One of the specific NEMO features is
the capability to find in the large family of solar dimmings those connected to CMEs.
We will describe the NEMO algorithm, present its real-time
performance, and show the main results for the EIT/SOHO catalog. An analysis of early STEREO
events will be shown too together with future analysis possibilities.
Finally, NEMO usage will be described. Currently the NEMO tool is writen in Matlab 7.0
due to its high level image processing capabilities, but translation and
integration to solarsoft can be discussed with the community.
The NEMO code is developed at the Royal Observatory of Belgium,
funded by BELSPO through ESA/PRODEX for the NASA