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Eureka! is a data reduction and analysis pipeline intended for time-series observations with JWST.

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Remaining edits to NIRISS files that are still needed since PR #286. 1. In the NIRISS read function, can you put an if/else statement that'll work once we have real...

NIRISS

### Instrument Light curve fitting (Stages 4-6) ### What is your suggestion? Currently in Stage 5 we have the ability to perform each fit in parallel. This is definitely the...

enhancement
LC Fit

I've got minimum viable testing functionality up in my branch. Currently we do NIRCam S3-S5 and NIRSpec S2-S5. The S5 tests are just set to "fit" the "lightcurve" with least-squares...

enhancement

To improve speed of light curve fitting, especially using Gaussian Processes (GPs), we have already discussed adding [tinygp package](https://tinygp.readthedocs.io/en/latest/index.html) to the stage 5 fitting. I haven't finished coding that yet...

enhancement
future work

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...

enhancement

here are some suggested performance metrics to test how Eureka! is performing compared to other codes: - plot of pointing stability over time (drift in x and y direction relative...

enhancement
help wanted

_Note that this PR is still a draft and should not yet be reviewed._ _Note that this PR builds on PRs #632 and #659 and should only be reviewed after...

enhancement
LC Fit