
Worked on the Keck-DataReductionPipelines/KPF-Pipeline repository to improve data management and visualization workflows for radial velocity (RV) and error measurements. Addressed naming inconsistencies by updating documentation and keywords CSV files, ensuring that RV data labels matched the evolving data schema and reducing potential confusion for users and contributors. Developed a YAML-based configuration for ERV Quicklook plots, enabling automated and reproducible visualization of calibration data across multiple CCDs. Leveraged skills in configuration management, data visualization configuration, and observational data analysis, with a focus on CSV, YAML, and RST formats to enhance calibration validation and streamline onboarding for future development.
April 2025 monthly summary for Keck-DataReductionPipelines/KPF-Pipeline. Focused on enhancing ERV visualization and calibration workflows, delivering a configurable ERV Quicklook plotting setup and laying groundwork for automated calibration validation.
April 2025 monthly summary for Keck-DataReductionPipelines/KPF-Pipeline. Focused on enhancing ERV visualization and calibration workflows, delivering a configurable ERV Quicklook plotting setup and laying groundwork for automated calibration validation.
March 2025 – Keck-DataReductionPipelines/KPF-Pipeline: Focused on data naming consistency and documentation accuracy for radial velocity (RV) measurements. Implemented a targeted bug fix to correct naming in docs and the keywords CSV and updated the data label from CCD1ERV to CCD1ERVC, aligning with the current data schema. These changes reduce user confusion, prevent downstream errors, and improve onboarding for new contributors.
March 2025 – Keck-DataReductionPipelines/KPF-Pipeline: Focused on data naming consistency and documentation accuracy for radial velocity (RV) measurements. Implemented a targeted bug fix to correct naming in docs and the keywords CSV and updated the data label from CCD1ERV to CCD1ERVC, aligning with the current data schema. These changes reduce user confusion, prevent downstream errors, and improve onboarding for new contributors.

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