Code

Improvements to the data reduction of JWST/NIRSpec IFS data
We developped a few improvements with respect to the standard JWST data-reduction pipeline. The additional steps and corrections in the pipeline code to improve the quality of the data reduction are described in Section 3 in Perna et al. (2023) and Section 1.1 in D'Eugenio et al. (2023a).

Characterization of the Point-Spread Function of JWST/NIRSpec IFS data
Short description, Francesco?
D'Eugenio et al. 2023

Software for the removal of wiggles in JWST/NIRSpec data (M. Perna)
The spatial undersampling in the NIRSpec IFS may result in apparent wiggles in the single-spaxel spectra close to the position of bright point sources, such as stars and QSOs. There is currently no correction in the pipeline for these artefacts; large spatial extraction regions are hence required to reduce the amplitude of the effect in extracted 1-D spectra (see Perna et al. 2023; Law et al. 2023). There are situations where a point source overlaps with extended emission, thus requiring to disentangle the flux from both sources, for instance, in studies of QSO hosts and their close environment.
We developped a code that allows to subtract the spurious wiggles at single-spaxel level. The code is written in python and it is publicly available on github.
Link to github

QubeSpec: A powerful python package for JWST/NIRSpec IFU data analysis (J. Scholtz)
QubeSpec is a simple but powerful python package to fit optical astronomical spectra and more importantly analysing IFS cube from JWST/NIRSpec, JWST/MIRI, VLT/KMOS and VLT/SINFONI. The code has built models for fitting Halpha, [OIII], Hbeta, [SII] and [NII] of galaxies, galaxies with outflows, Type-1 AGN and Quasars.
Link to github