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Benchmark Test of Differential Emission Measure Codes and Multi-Thermal Energies in Solar Active Regions View all abstracts by submitter

Markus J. Aschwanden   Submitted: 2015-09-23 10:09

We compare the ability of 11 Differential Emission Measure (DEM) forward-fitting and inversion methods to constrain the properties of active regions and solar flares by simulating synthetic data using the instrumental response functions of SDO/AIA, SDO/EVE, RHESSI, and GOES/XRS. The codes include the single-Gaussian DEM, a bi-Gaussian DEM, a fixed-Gaussian DEM, a linear spline DEM, the spatial synthesis DEM, the Monte-Carlo Markov chain DEM, the regularized DEM inversion, the Hinode/XRT method, a polynomial spline DEM, an EVE+GOES, and an EVE+RHESSI method. Averaging the results from all 11 DEM methods, we find the following accuracies in the inversion of physical parameters: the EM-weighted temperature T_wfit/T_wsim=0.9pm0.1, the peak emission measure EM_pfit/EM_psim=0.6pm0.2, the total emission measure EM_tfit/EM_tsim=0.8pm0.3, and the multi-thermal energies Ethfit/EMthsim=1.2pm0.4. We find that the AIA spatial synthesis, the EVE+GOES, and the EVE+RHESSI method yield the most accurate results.

Authors: Aschwanden, M. J., Boerner, P., Caspi, A., McTiernan, J. M., Ryan, D., and Warren, H. P.

Publication Status: Solar Physics, (accepted 2015 Sep 23), in press
Last Modified: 2015-09-26 14:55
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