caridlin/kcwiulb: kcwiulb v1.0.1 — Initial Zenodo release

This release is identical to v1.0 and is created to enable Zenodo DOI archiving. kcwiulb is a Python pipeline for ultra–low surface brightness IFU emission mapping with KCWI, developed during my PhD. Key features include: iterative sky subtraction (blue and red channels) cosmic ray masking and masking–subtraction iteration multi-sky residual modeling with region-based fitting covariance-aware coaddition (flux, variance, covariance products) WCS alignment and refinement continuum subtraction and source masking adaptive smoothing and signal extraction (ADS) The pipeline is designed for flexible, user-controlled workflows and has been used in published studies of diffuse circumgalactic medium (CGM) emission.