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