Statistics – Computation
Scientific paper
May 2010
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21630005p&link_type=abstract
American Astronomical Society, AAS Meeting #216, #300.05; Bulletin of the American Astronomical Society, Vol. 41, p.815
Statistics
Computation
Scientific paper
We present data from Hinode/EIS, compare these to 3D MHD coronal models and outline forward models using SDO data. EUV lines originating in an active region show asymmetric line profiles that are interpreted using multi-Gaussian line fitting. Depending of the structure, a minor component can show high upflow speeds of above 100 km/S or it can be subject to strong heating resulting in a very strong broadening in combination with upflows of some 50 km/s. The latter ones are found near loop footpoints and might be associated with type II spicules feeding mass into coronal structures.
The bulk part of the active region emission shows loops with either siphon-type loops, associated with asymmetric heating, or with downflows on both legs, associated with a lack of heating, i.e. cooling. We find these typical structures also in 3D MHD models where we can directly investigate the dynamics in the computational box. The properties of the observed coronal spectral profiles is surprisingly similar to those in the transition region suggesting common mechanisms driving the heating and dynamics from the cool transition region to the hot corona. This is also supported by the 3D MHD models which treat the chromosphere - transition region - corona system as one single system.
Based on this work we will present the concept to use HMI/SDO magnetic field data as input at the lower boundary of our 3D coronal models. The coronal model will then be used to synthesize the emission that would be observed by AIA/SDO, which then can be directly compared to the actual AIA observations. As the numerical simulations are computationally time-consuming, we will not be able to show final results based on HMI data, but will present first results and results from older data sets.
Bingert Sven
Peter Hardi
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