Maximum Entropy Method algorithm based on visibilities developed at New Jersey Institute of Technology (NJIT).
MEM NJIT is a 2-D version of the Spatio-Spectral Maximum Entropy Method (SSMEM) developed by Su-Chan Bong. Jeongwoo Lee and the solar group at NJIT provided the 2-D version used for RHESSI imaging. While SSMEM maximizes entropy for spectra and maps, MEM_NJIT only maximizes entropy in the map for a given frequency.
Using the MEM_NJIT algorithm at the command line:
Select algorithm | o->set, image_algorithm='mem_njit' | or 'nj' or 'njit' or 'hsi_mem_njit' |
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Object Class | HSI_MEM_NJIT |
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Extract Object | nj_obj = o->get(/obj,class='hsi_mem_njit') | Extract the object used in the hsi_image object, o |
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Parameter Prefix | nj, e.g.
nj_show_maps = o->get(/nj_show_maps)
nj_control = o->get(/nj, /control)
nj_info = o-> get(/nj, /info)
nj_all = o->get(/nj) | All parameter names specific to this algorithm have this prefix |
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Parameter Table | MEM_NJIT Object Parameter Table | List and short description of control and info parameters specific to this algorithm |
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