eht-imaging) as a python framework for implementing regularized maximum likelihood imaging methods on EHT data. In the last two years, it has evolved into a flexible environment for manipulating, simulating, analyzing, and imaging interferometric data and is a workhorse of the EHT’s data analysis pipeline.
ehtim has already been used in 10 peer reviewed publications and is currently being used and developed by at least one group outside the EHT collaboration. If you reconstruct images from visibilities and are interested in trying out some new methods beyond CLEAN, give
ehtim a shot! The code is on GitHub, and the documentation is here.
I maintain the two-temperature, radiative GRMHD C code
KORAL written by Aleksander Sadowski. In addition to adding new physics like the spectral evolution of nonthermal electrons, I am also in the middle of refreshing the code, enhancing its performance and streamlining its structure to make future development easier. I hope to share a new, open-source version of
KORAL on GitHub soon!