This software was developed for data reduction and cube design for the JWST slit-stepping survey GO-2136. It is designed to be applicable for any future JWST slit-stepping surveys employing a similar observing strategy.
The software consists of two components:
a) the version 1.14.0 jwst STScI pipeline to process the data via a modified set of arguments and keywords, and
b) the original software developed for cube design in a slit-stepping strategy with NIRSpec MSA
--- the latter being an unsupported data processing mode in the standard STScI pipeline.
See Barisic et al. 2024 . for technical details and a case study analysis of an example target.
Start by creating a new python environment using conda or venv, example:
conda create -n ENVNAME python=3.11
conda activate ENVNAMETo install MSA3D, clone the git repository into a new folder:
git clone https://github.com/barisiciv/msa3d.gitThis pulls the files into a directory called 'msa3d'. To install the package, run:
cd msa3d
pip install -e .Total disk space required for full reduction (excluding STScI/Spec1Pipeline) is ~80GB, of which approximately:
- 11GB : *rate.fits files (available for download on MAST)
- 50GB : products of custom JWST/STScI Spec2Pipeline + Spec3Pipeline reduction (2D spectra)
- 12GB : products of cube design (data cubes and related products)
The msa3d data reduction starts with slope images, which can be found on
MAST Portal.
GO-2136 program is publicly available. Search for the data set on the portal
using the Proposal ID: 2136 and download all the *_rate.fits files.
After downloading the *_rate.fits files, make sure all *_rate.fits files are in the same folder.
Temporary : see notebook example