search

kevin218 / Eureka

Eureka! is a data reduction and analysis pipeline intended for time-series observations with JWST.
https://eurekadocs.readthedocs.io/
MIT License
60 stars 47 forks source link

Compute 2D drift/jitter for JWST imaging or spectroscopy #158

Open iancrossfield opened 2 years ago

iancrossfield commented 2 years ago

E.g., adapt the existing Stage 3 code (that computes a 2D drift/jitter for HST data --see calcDrift2D in hst_scan.py) so that we can get these same diagnostics for JWST data as well. Sooner or later, someone will probably want it!

kevin218 commented 2 years ago

Will need to add correct_drift2D function to the instrument python files (e.g. nirspec.py).

taylorbell57 commented 2 years ago

I agree that this would definitely be good to have, but as of now none of the simulated data has pointing jitter or drift, so I don't think that this should be a priority for the time being. I am hoping to make a MIRI/LRS simulation with pointing jitter at some point, so that could be a good opportunity to develop and test 2D drift/jitter correction for JWST instruments. That won't be until after the data challenge though

kevin218 commented 2 years ago

The NIRSpec data have jitter because they are based on actual CV3 observations. My bet is this jitter is why optimal spectral extraction with the median frame isn't working well.

taylorbell57 commented 2 years ago

Oh interesting, I hadn't appreciated that!