
During December 2024, Maceachern developed the Conservative Mask Aggregation (CombineMasks) feature for the radiocosmology/draco repository, focusing on backend development and data processing using Python. This feature enables robust consolidation of multiple input masks into a single conservative mask by performing a bitwise OR operation across datasets. Maceachern implemented type validation to ensure input consistency and added checks for cross-input inconsistencies, flagging any data point present in any mask. The approach improves data quality and reliability for downstream analyses while reducing manual masking effort, establishing a scalable foundation for future masking tasks across diverse datasets in radiocosmology workflows.

December 2024: Delivered Conservative Mask Aggregation (CombineMasks) for radiocosmology/draco, enabling robust consolidation of multiple masks into a single conservative mask. Implemented type validation, cross-input inconsistency checks, and bitwise OR merging across input mask datasets. This work improves data quality and reliability for downstream analyses and sets the stage for scalable masking across datasets.
December 2024: Delivered Conservative Mask Aggregation (CombineMasks) for radiocosmology/draco, enabling robust consolidation of multiple masks into a single conservative mask. Implemented type validation, cross-input inconsistency checks, and bitwise OR merging across input mask datasets. This work improves data quality and reliability for downstream analyses and sets the stage for scalable masking across datasets.
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