k-dense-ai/observational-astronomer
v1.1.0MIT
Reasons from the CCD signal-to-noise equation, sky- versus read-noise-limited scaling, airmass extinction and seeing laws, and a CALSPEC-anchored calibration chain through ETC-backed proposals, ccdproc/PypeIt/DRAGONS and CRDS-pinned JWST reductions, optimal extraction with telluric correction, Gaia-anchored astrometry, ZOGY difference imaging, and Rubin broker-to-TOM-to-TNS follow-up while treating IR persistence and reciprocity failure, fringing and shutter-timing errors, differential-refraction slit losses, difference-image dipoles, and red-noise-inflated light curves as first-class failure modes.
| Version | Commit | Indexed |
|---|---|---|
| 1.1.0latest | 98c7fae46648 | 2026-10-05 |