SH54B-04
Towards a Data-Optimized Coronal Magnetic Field Model (DOC-FM): Synthetic Test Beds and Multiwavelength Forward Modeling
Friday, 18 December 2015: 16:45
2009 (Moscone West)
Sarah E Gibson1, Kévin Dalmasse1, Yuhong Fan1, Silvano Fineschi2, Duncan MacKay3, Matthias Rempel4 and Stephen M White5, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)Instituto Nazionale de Astrofisica INAF, Torino, Italy, (3)University of St. Andrews, North Haugh, United Kingdom, (4)NCAR, Boulder, CO, United States, (5)Air Force Research Laboratory, Albuquerque, NM, United States
Abstract:
Understanding the physical state of the solar corona is key to deciphering the origins of space weather as well as to realistically representing the environment to be navigated by missions such as Solar Orbiter and Solar Probe Plus. However, inverting solar coronal observations to reconstruct this physical state -- and in particular the three-dimensional coronal magnetic field – is complicated by limited lines of sight and by projection effects. On the other hand, the sensitivity of multiwavelength observations to different physical mechanisms implies a potential for simultaneous probing of different parts of the coronal plasma. In order to study this complementarity, and to ultimately establish an optimal set of observations for constraining the three-dimensional coronal magnetic field, we are developing a suite of representative simulations to act as diagnostic test beds. We will present three such test beds: a coronal active region, a quiescent prominence, and a global corona. Each fully define the physical state of density, temperature, and vector magnetic field in three dimensions throughout the simulation domain. From these test beds, and using the FORWARD SolarSoft IDL codes, we will create a broad range of synthetic data. Radio observables will include intensity and circular polarization (including gyroresonance effects) and Faraday rotation for a range of frequencies. Infrared and visible forbidden line diagnostics of Zeeman and saturated Hanle effects will yield full Stokes vector (I, Q, U, V) synthetic data, and UV permitted line Hanle diagnostics will yield intensity and linear polarization. In addition, we will synthesize UV and SXR imager data, UV/EUV spectrometric data, and white light brightness and polarized brightness. All of these synthetic data, along with the “ground truth” physical state of the simulations from which they are derived, will be made available to the community for the purpose of testing coronal inversion techniques.