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.

GitHub Open Website

What this package declares

The file a client reads when it loads this plugin, exactly as this revision carries it.

plugin.json

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "observational-astronomer",
  "version": "1.1.0",
  "description": "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.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "observational-astronomer"
  ]
}