Statistical Distributions of Speeds of Coronal Mass Ejections

Statistical Distributions of Speeds of Coronal Mass Ejections Vasyl 1 Big 1 Yurchyshyn , Seiji 2 Yashiro , Valentyna 1 Abramenko , Haimin 3 Wang , Nat 4 Gopalswamy Bear Solar Obs, Big Bear , CA 92314; 2 Catholic University of America, Washington DC 20064; 3 New Jersey Inst. of Technology, Newark, NJ 07102; 4 NASA/GSFC, Greenbelt, MD 20771 We analyzed the distribution of speeds of 4315 CMEs published in The CME Catalog at the CDAW data center. We found that the speed distributions for accelerating and decelerating events are nearly identical ( 2=0. 0033) and to a good approximation they can be fitted with a single lognormal distribution. This finding implies that, statistically, there is no physical distinction between the accelerating and the decelerating events. The log-normal distribution of CME speeds suggests that the same driving mechanism of a non-linear nature is acting in both slow and fast dynamical types of CMEs. Decelerating CMEs The single log-normal distribution suggests: i) that the same driving mechanism is acting in both dynamical types of CMEs; ii) that the speed distribution is a product of a a number of independent random variables, which may arise through the fragmentation process or a multiplicative random cascade; iii) the presence of nonlinear interactions and multiplicative processes in a system of many magnetic flux loops. The driving mechanism is then a multiple reconnection process in a fragmented magnetic field? liner-liner representation of the distribution of the number of CMEs, N, versus their speeds, v, determined from the linear fit log-liner representation of the above distribution can be modeled by a normal (gaussian) approximation The skewed form of the distribution suggests that it may be modeled either with a single log-normal distribution or a sum of a log-normal and a Gaussian distributions. It is said that if a random variable (in our case the speed of a CME) is log-normally distributed then its natural logarithm is normally distributed. The log-normal fit (solid line) captures the intensity of the observed distribution in all speed ranges. The two-component fit (dashed line) fails to accurately represent the data in the low speed range below 200 km/s. Because the single log-normal fit better models the data ( 2=10 versus 2=39 for the two-component fit), while requiring less free parameters, we conclude that the speeds of CMEs are distributed log-normally. Accelerating CMEs We separated all events into two groups based on the sign of the acceleration (determined from the 2 nd order fit). We found that the normal approximations for distribution of ln(v) determined for accelerating and decelerating events are the same ( 2=0. 0033). The largest difference between them is that the accelerating CMEs, as a group, are slightly slower then the decelerating ones. This finding implies that, statistically, there is no physical distinction between the accelerating and the decelerating events. It also suggests that in the case there do exist two types of CMEs, the physical distinction between them can not be easily revealed. SOHO is a project of international cooperation between ESA and NASA. This work was supported in part by National Science Fundation under grants ATM 0205157, ATM 0086999 and ATM 0204588 and by NASA NAG 5 -10910 and NAG 5 12782 grants.