
Worked on enhancing the cositools/cosipy repository by expanding and refining the PointSourceResponse test suite to improve reliability and coverage for new spectral models and polarization handling. Applied Python and Pytest to implement robust numeric comparisons, enforce unit normalization, and validate error handling for both standard and edge-case scenarios. Focused on scientific computing and data validation, the work included cleaning up test files, updating expectations for new .h5 response formats, and ensuring physically plausible, non-negative spectra in tests. These efforts strengthened regression safety, improved test reliability, and ensured that spectral model integrations remained consistent with astrophysical requirements.
Month: 2025-10 — Focused on hardening the cosipy test suite and ensuring spectral models reflect physically plausible spectra. A single, targeted bug fix improved test reliability and prevented non-physical results.
Month: 2025-10 — Focused on hardening the cosipy test suite and ensuring spectral models reflect physically plausible spectra. A single, targeted bug fix improved test reliability and prevented non-physical results.
September 2025: Cosipy testing and quality improvements for PointSourceResponse to improve reliability, spectral-model coverage, and polarization handling. Enhanced test suite alignment with new .h5 response formats and unit normalization; strengthened numeric comparisons and error checks; groundwork laid for broader spectral model coverage and regression safety across the cosipy repository.
September 2025: Cosipy testing and quality improvements for PointSourceResponse to improve reliability, spectral-model coverage, and polarization handling. Enhanced test suite alignment with new .h5 response formats and unit normalization; strengthened numeric comparisons and error checks; groundwork laid for broader spectral model coverage and regression safety across the cosipy repository.

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