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Drag-Based Model (DBM) Tools for Forecast of Coronal Mass Ejection Arrival Time and Speed
Dumbović, Mateja; Temmer, Manuela; Veronig, Astrid +4 more
Forecasting the arrival time of coronal mass ejections (CMEs) and their associated shocks is one of the key aspects of space weather research. One of the commonly used models is the analytical drag-based model (DBM) for heliospheric propagation of CMEs due to its simplicity and calculation speed. The DBM relies on the observational fact that slow …
Investigating Remote-sensing Techniques to Reveal Stealth Coronal Mass Ejections
Nitta, Nariaki V.; Richardson, Ian G.; Srivastava, Nandita +7 more
Eruptions of coronal mass ejections (CMEs) from the Sun are usually associated with a number of signatures that can be identified in solar disc imagery. However, there are cases in which a CME that is well observed in coronagraph data is missing a clear low-coronal counterpart. These events have received attention during recent years, mainly as a …
Exploiting White-Light Observations to Improve Estimates of Magnetic Connectivity
Poirier, Nicolas; Kouloumvakos, Athanasios; Rouillard, Alexis P. +7 more
TheSolar Orbiter(SolO) andParker Solar Probemissions have opened up new challenges for the heliospheric scientific community. Their proximity to the Sun and their high quality measurements allow us to investigate, for the first time, potential sources for the solar wind plasma measuredin situ. More accurate estimates of magnetic connectivities fro…
Fifty Years of 3 He-rich Events
Reames, Donald V.
The early 1970s saw a new and surprising feature in the composition of solar energetic particles (SEPs), resonant enhancements up to 10,000-fold in the ratio 3He/4He that could even make 3He dominant over H in rare events. It was soon learned that these events also had enhancements in the abundances of heavier elements, such as a factor of ~10 enh…
Investigating width distribution of slow and fast CMEs in solar cycles 23 and 24
Banerjee, D.; Gopalswamy, N.; Patel, R. +3 more
Coronal Mass Ejections (CMEs) are highly dynamic events originating in the solar atmosphere, that show a wide range of kinematic properties and are the major drivers of the space weather. The angular width of the CMEs is a crucial parameter in the study of their kinematics. The fact that whether slow and fast CMEs (as based on their relative speed…
Testing and Validating Two Morphological Flare Predictors by Logistic Regression Machine Learning
Erdélyi, R.; Korsós, M. B.; Morgan, H. +1 more
Whilst the most dynamic solar active regions (ARs) are known to flare frequently, predicting the occurrence of individual flares and their magnitude, is very much a developing field with strong potentials for machine learning applications. The present work is based on a method which is developed to define numerical measures of the mixed states of …