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Welcome to the MIDAS wiki!

MIDAS allows for reduction of Near-Field and Far-Field High Energy Diffraction Data to obtain microstructural information. MIDAS can be run both locally and on a HPC server. All required packages are downloaded automatically during installation.

Installation

MIDAS has hard-coded paths, requiring it to be installed in the ${USER.HOME}/opt directory. The following steps may be followed for installation (steps in parentheses are optional):

(mkdir opt;) cd ~/opt

git clone https://github.com/marinerhemant/MIDAS.git

cd MIDAS/FF_HEDM

make MACHINE_NAME

cd ../NF_HEDM

make MACHINE_NAME

cd ../TOMO

make all

MACHINE_NAME can be local or one of the servers.

Execution

FF Stitching manual: FF-HEDM including stitching

FF GrainTracking manual: FF-Tracking

NF manual: NF-HEDM

FF DL Trial: Once MIDAS is installed in ~/opt/MIDAS using (local), ~/opt/MIDAS/utils/DL2FF.py code can be used to run an example analysis. Only variables are peaksFN, paramFile and nCPUs to use.

Find missing grains FF-seeding for NF: Seeding

HDF files generation: HDF