
Developed and integrated a harmonic map (h-map) generation module for spin-based mapmaking within the litebird_sim repository, focusing on end-to-end simulation workflows. Leveraging Python and Healpix, the work enabled automated creation and saving of h-maps, with support for encoding scanning strategy metadata directly into the generated maps. This approach improved the fidelity of simulation outputs and streamlined the validation process by reducing manual intervention. Comprehensive documentation was added in both markdown and reStructuredText formats, detailing the workflow and metadata encoding, which facilitates easier adoption and reproducibility for users working on data analysis, mapmaking, and simulation tasks in this environment.
June 2026: Delivered H-map generation and integration for spin-based mapmaking in litebird_sim. Implemented a module to generate and save harmonic maps (h-maps) and wired it into the simulation framework; added documentation showing how scanning strategy information can be encoded into the generated maps. This enables end-to-end validation of spin-based mapmaking workflows, improves modeling fidelity, and reduces manual steps in map generation and validation.
June 2026: Delivered H-map generation and integration for spin-based mapmaking in litebird_sim. Implemented a module to generate and save harmonic maps (h-maps) and wired it into the simulation framework; added documentation showing how scanning strategy information can be encoded into the generated maps. This enables end-to-end validation of spin-based mapmaking workflows, improves modeling fidelity, and reduces manual steps in map generation and validation.

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