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 3.13 environment. Clone this git repository to your local machine, and then install for your active conda environment by using:

pip install -e .

MIGRATION WARNING: 7/3/26 this migrated from setup.py to pyproject.toml installation, which has changed some paths.

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)