hpparvi/ExoIris: v1.1.0

ExoIris v1.1.0 New Features White light curve creation — Added TSData.create_white_light_curve() for creating white light curves from 2D spectrophotometry with weighted averaging. Marginalised log-likelihood — Added a white_marginalized noise model option alongside the existing profiled likelihood (now explicitly named white_profiled). The marginalised option analytically integrates out baseline coefficients rather than estimating them via least-squares profiling. Combined binning — Added TSData.bin() for simultaneous wavelength and time binning. Bug Fixes Fixed error propagation in 2D binning. Fixed exception handling in least-squares baseline calculation for individual wavelength bins. Other Changes Reorganised binning utilities into a standalone module; the previous bin2d in util.py is deprecated. Added tests for binning functions and package imports. Updated tutorial notebooks. Upgrading This release is backwards-compatible with v1.0.0. The default noise model remains unchanged (white_profiled). The deprecated bin2d function in util.py will be removed in a future release — migrate to exoiris.binning instead.