astronomical-imaging

A minimal, efficient implementation of a Vision-Language Model following the LLaVA architecture.

Euclid stellar-shape and PSF diagnostic for image-quality assessment, weak-lensing calibration and shape-measurement consistency, using reproducible analysis of observational data and explicit quality limits.

Multi-survey galaxy-morphology laboratory testing whether structural conclusions survive changes in redshift, wavelength, depth, pixel scale and telescope resolution, using CEERS/JWST data, cross-survey provenance and recoverability benchmarks.

Astronomical cosmic-ray cleanup laboratory for detecting, masking and auditing particle-hit contamination in imaging data, with reproducible before/after diagnostics and explicit separation of cleaning from scientific signal.

Euclid galaxy-morphology consistency study comparing structural measurements, shape estimates and catalogue agreement while auditing imaging systematics, data quality and reproducibility across morphological observables.