Keck-DataReductionPipelines/KPF-Pipeline
Apr 2025 – Apr 2025
1 Month active
Languages Used
CSVPythonRSTYAML
Technical Skills
Astronomy SoftwareConfigurationData AnalysisData ManagementData Visualization ConfigurationDocumentation
Aimee Williams
PROFILE
Aimee Williams
Worked on the Keck-DataReductionPipelines/KPF-Pipeline repository to enhance the reliability and quality control of L2 analysis by introducing support for MAXPCBCV and MINPCBCV metrics. Leveraged Python and YAML to update analysis logic, configuration files, and data visualization components, enabling robust detection and quantification of extreme BCV deviations. Implemented a fixed calculation for BCV percent changes using the Perc_Delta_Bary_RVC column, ensuring accurate reporting and analysis. Added a new QC test to validate BCV metrics and refreshed related documentation and tests. This work improved data quality and business insights by strengthening quality control for spectral order changes in astronomical data.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
109
Activity Months1
Your Network
220 peopleWork History
April 2025
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly delivery for Keck-DataReductionPipelines/KPF-Pipeline focused on enhancing L2 analysis reliability and QC, with a notable feature expansion and related quality improvements. Delivered MAXPCBCV and MINPCBCV support in L2 analysis, including new headers to quantify maximum/minimum percent changes from CCFBCV. Updated configuration, metadata, plots, and QC validation to enable analysis and QC of extreme BCV deviations, improving data quality and business insights. Implemented a fixed BCV percent changes calculation using the Perc_Delta_Bary_RVC column, ensuring accurate reporting. Added a new QC test (QCPCBCV) to validate BCV metrics, and refreshed associated tests and docs. Key commits span five changes across header, analysis logic, and configuration: e08a661f03ab2aed5a2afa9702b980f8071e5679; 942522ec788647ae9584948019482e4614156221; 1dd9ed2c22386fb841c261a947b1754bb170646b; 8a5d322d68fcfa34362a6dac06712deefac79fcf; 7a9e06c3e800882a5cb2b25f0e319cfb23b15d6c.
5 Commits • 1 Features
Apr 1, 2025April 2025 monthly delivery for Keck-DataReductionPipelines/KPF-Pipeline focused on enhancing L2 analysis reliability and QC, with a notable feature expansion and related quality improvements. Delivered MAXPCBCV and MINPCBCV support in L2 analysis, including new headers to quantify maximum/minimum percent changes from CCFBCV. Updated configuration, metadata, plots, and QC validation to enable analysis and QC of extreme BCV deviations, improving data quality and business insights. Implemented a fixed BCV percent changes calculation using the Perc_Delta_Bary_RVC column, ensuring accurate reporting. Added a new QC test (QCPCBCV) to validate BCV metrics, and refreshed associated tests and docs. Key commits span five changes across header, analysis logic, and configuration: e08a661f03ab2aed5a2afa9702b980f8071e5679; 942522ec788647ae9584948019482e4614156221; 1dd9ed2c22386fb841c261a947b1754bb170646b; 8a5d322d68fcfa34362a6dac06712deefac79fcf; 7a9e06c3e800882a5cb2b25f0e319cfb23b15d6c.
April 2025
Activity
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Quality Metrics
Correctness92.0%
Maintainability96.0%
Architecture92.0%
Performance88.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPythonRSTYAML
Technical Skills
Astronomy SoftwareConfigurationData AnalysisData ManagementData Visualization ConfigurationDocumentationPythonPython DevelopmentQuality ControlScientific Computing
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