A Complete LASCO CME-Catalog based on Automated Detection
Abstract
We present our new CME catalog a result of the large scale application of our software CACTus on the LASCO archive We recently improved the algorithm and upgraded the test-version of the catalog available online at www sidc be cactus The automatic detection of a CME is done in two steps and is applied simultaneously on c2 and c3 running difference images 1 detection of bright features moving radially outward 2 clustering detections into CMEs The recent improvements are undertaken in the second step of this process Unique for our detection method is that we use the condition moving radially outward as part of the detection criterion The detection itself is done using the stroboscopic method i e in height time slices where height means radial distance from the sun An outwardly moving feature appears then as a bright ridge extracted by a modified version of the Hough transform Per month the output consists of a table containing the CME characteristics and an overview map in a angle time -coordinate system that clearly shows all detected CMEs As a result of our method we also have for each CME a linear speed profile along the angular width of the CME We studied the characteristics of the CMEs detected with CACTus over the solar cycle and compared them with results obtained from other catalogs This paper shows that relevant characteristics of CMEs over the solar cycle are successfully recovered with the automated procedure Recent tests prove that in general automated procedures detect far more small features than human
- Publication:
-
36th COSPAR Scientific Assembly
- Pub Date:
- 2006
- Bibcode:
- 2006cosp...36.3564R