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