simonsobs/sotodlib
Dec 2024 – Jan 2026
3 Months active
Languages Used
Python
Technical Skills
Astronomy SoftwareCode RefactoringData ProcessingDocumentationSignal ProcessingAstrophysics
susannaaz
PROFILE
Susannaaz
Susanna Azzoni contributed to the simonsobs/sotodlib repository by developing and refining core preprocessing and mapmaking features for astronomy data analysis. She implemented a PointingModel to apply precise pointing corrections to Time Ordered Data, standardized API naming for maintainability, and enhanced preprocessing with improved noise handling and signal processing. Susanna also delivered a pointing deflection correction using wobble metadata, integrating it into the mapmaking pipeline to address pointing inaccuracies. Her work included a collaborative bug fix for the scan frequency cut filter, reducing aliasing risks. Throughout, she utilized Python, data processing, and code refactoring to improve reliability and data quality.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
3
Lines of code
607
Activity Months3
Your Network
26 peopleShared Repositories
26
Work History
January 2026
1 Commits
Jan 1, 2026January 2026 focused on boosting reliability and stability of the sotodlib preprocessing pipeline. The primary delivery was a bug fix for the scan frequency cut filter, resolving an aliasing risk and hardening startup behavior. Improvements were achieved by enhancing the atomic filterbin mapmaker and ensuring proper handling of the preprocess database, which together reduce data corruption risk and improve downstream processing confidence.
1 Commits
Jan 1, 2026January 2026 focused on boosting reliability and stability of the sotodlib preprocessing pipeline. The primary delivery was a bug fix for the scan frequency cut filter, resolving an aliasing risk and hardening startup behavior. Improvements were achieved by enhancing the atomic filterbin mapmaker and ensuring proper handling of the preprocess database, which together reduce data corruption risk and improve downstream processing confidence.
January 2026
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Pointing Deflection Correction via Wobble Metadata delivered for simonsobs/sotodlib. Implemented a new function to calculate corrected sightlines and integrated this correction into the mapmaking pipeline to mitigate wobble-induced pointing inaccuracies, resulting in improved map quality and reliability of derived data products. No major bugs fixed this month; the focus was on feature delivery, integration, and setting up a robust workflow. Technologies demonstrated include algorithm development for pointing corrections, wobble metadata handling, and mapmaking pipeline integration, with strong emphasis on code traceability and maintainability.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Pointing Deflection Correction via Wobble Metadata delivered for simonsobs/sotodlib. Implemented a new function to calculate corrected sightlines and integrated this correction into the mapmaking pipeline to mitigate wobble-induced pointing inaccuracies, resulting in improved map quality and reliability of derived data products. No major bugs fixed this month; the focus was on feature delivery, integration, and setting up a robust workflow. Technologies demonstrated include algorithm development for pointing corrections, wobble metadata handling, and mapmaking pipeline integration, with strong emphasis on code traceability and maintainability.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for simonsobs/sotodlib: Implemented core preprocessing enhancements and API standardization to strengthen end-to-end data quality and maintainability. Focus remained on PointingModel integration, API naming consistency, and mapmaking preprocessing improvements, enabling more reliable TOD corrections and higher-quality map products. Note: no major bugs fixed this month; improvements were feature-driven with clear engineering traceability.
3 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for simonsobs/sotodlib: Implemented core preprocessing enhancements and API standardization to strengthen end-to-end data quality and maintainability. Focus remained on PointingModel integration, API naming consistency, and mapmaking preprocessing improvements, enabling more reliable TOD corrections and higher-quality map products. Note: no major bugs fixed this month; improvements were feature-driven with clear engineering traceability.
December 2024
Activity
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Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture84.0%
Performance72.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Astronomy SoftwareAstrophysicsCode RefactoringCoordinate SystemsData AnalysisData ProcessingDocumentationMapmakingPython programmingSignal Processingdata processingsignal processing
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