Skip to content

DEM Inversion Methods

Will Barnes edited this page Apr 24, 2020 · 5 revisions

The table below is a (probably not comprehensive) list of the different methods for computing the differential emission measure.

Name Reference Notes Source code
MCMC Vinay & Kashyap (1998) Easily leverage many Python MCMC implementations PINTofALE
demreg Hannah & Kontar (2012) https://github.com/ianan/demreg
sparse AIA Cheung et al. (2015) http://www.lmsal.com/~cheung/AIA/tutorial_dem/
sparse Bayesian Warren et al. (2017)
xrt_dem_iterative2.pro Weber et al. (2004), Golub et al. (2004) SSW; https://hesperia.gsfc.nasa.gov/ssw/hinode/xrt/idl/util/xrt_dem_iterative2.pro
Fast DEM Inversion Plowman et al. (2012) http://solar.physics.montana.edu/plowman/firdems.tgz
Pottasch method Pottasch (1963)
EM loci method see Veck et al. (1984) Find loci of curves defined by ratio of intensity to contribution function; these are upper limits for DEM
A. Leonard Python method Leonard and Morgan (2014) In Python https://github.com/SolarDrew/CoronaTemps
DeepEM Wright et al. (2019) NN trained on sparse basis pursuit with PyTorch https://github.com/PaulJWright/DeepEM
Clone this wiki locally