miri3d

Code for generation of reference files and cube building for the MIRI MRS.

Contents:

• IDL implementations of some code for backward compatibility live in the idl/ directory
• Python code lives in the miri3d/ directory
  • /cubepar/: Code to create the pipeline cube-building parameter file (cubepars)
  • /drizzle/: Standalone implementation of a drizzle-based cube building algorithm (under development)
  • /modshep/: Standalone implementation of the Modified Shepard cube building algorithm
  • /tools/: Tools for pipeline testing

Installation:

Python:

Python code is developed for a python 3.5 environment. Clone this git repository to your local machine, and then install for your active conda environment by using:

python setup.py install

or

python setup.py develop

Using the 'install' option will copy the code over into your python library for the environment, while the 'develop' option will use the cloned code directory as the source. The 'develop' method is thus potentially easier to maintain if you might be updating or contributing to miri3d frequently.

Note that miri3d requires that the miricoord repository be installed as well (https://github.com/STScI-MIRI/miricoord). Some functions also rely upon having the pysiaf (https://github.com/spacetelescope/pysiaf) and JWST pipeline (https://github.com/spacetelescope/jwst) modules installed as well.

Some routines are configured to write files to a specific set of subdirectories on disk (when, e.g., generating new reference files). The base directory for these should be set as:

setenv MIRI3D_DATA_DIR /YourDataPathHere/

If this is not set, these files will default to writing out in your current working directory.

Dependencies:

• Some python tools depend on the pysiaf package (https://github.com/spacetelescope/pysiaf) for interaction with the MIRI SIAF
• Some python tools depend on the JWST calibration pipeline (https://github.com/spacetelescope/jwst)