simonsobs/sotodlib
Dec 2024 – Jun 2025
3 Months active
Languages Used
PythonC++
Technical Skills
Astronomy Data ProcessingData AnalysisSignal ProcessingSoftware DevelopmentData ProcessingDatabase Management
Erik Rosenberg
PROFILE
Erik Rosenberg
Eli Rosenberg contributed to the simonsobs/sotodlib repository by developing subscan-level preprocessing for Time-Ordered Data, enabling per-segment statistics, power spectral density analysis, and glitch detection to improve data quality assessment. He refactored the SAT demod mapmaker, modularizing utilities and expanding the atomic database to support richer metadata and more efficient queries. Using Python and C++, Eli enhanced error handling and optimized the data processing pipeline for robustness and maintainability. He also addressed edge-case bugs in weight calculations and logging, stabilizing single-detector workflows. His work demonstrated depth in scientific computing, data analysis, and database management within astronomy data pipelines.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
1,400
Activity Months3
Work History
June 2025
1 Commits
Jun 1, 2025June 2025: Robustness and reliability improvements across Sotodlib, stabilizing the data-processing pipeline for edge cases and single-detector scenarios. Implemented cross-module bug fixes in demod_mapmaker, make_atomic_filterbin_map, and PCA modules to harden weight calculations, logging, and error handling, leading to more accurate data products and fewer pipeline failures.
1 Commits
Jun 1, 2025June 2025: Robustness and reliability improvements across Sotodlib, stabilizing the data-processing pipeline for edge cases and single-detector scenarios. Implemented cross-module bug fixes in demod_mapmaker, make_atomic_filterbin_map, and PCA modules to harden weight calculations, logging, and error handling, leading to more accurate data products and fewer pipeline failures.
June 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for simonsobs/sotodlib. Delivered a major refactor of the SAT demod mapmaker and expanded the atomic database, focused on robustness, performance, and maintainability. Modularized utility functions into a new utils module, expanded the atomic database with new fields, and refined the data processing pipeline to improve throughput and resilience. Updated tests and documentation to reflect the new structure and features. This work lays a stronger foundation for scalable mapmaking workflows and future feature enhancements.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for simonsobs/sotodlib. Delivered a major refactor of the SAT demod mapmaker and expanded the atomic database, focused on robustness, performance, and maintainability. Modularized utility functions into a new utils module, expanded the atomic database with new fields, and refined the data processing pipeline to improve throughput and resilience. Updated tests and documentation to reflect the new structure and features. This work lays a stronger foundation for scalable mapmaking workflows and future feature enhancements.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for simonsobs/sotodlib focusing on Subscan-level TOD analysis in preprocessing. Implemented subscan processing to enable per-subscan statistics, power spectral densities (PSDs), and glitch detection, significantly enhancing data quality assessment and granularity for Time-Ordered Data pipelines. This work supports more robust data products and faster detection of data issues across TOD workflows. Key commit: cfc268f2a2f041b1aebffb6c825f0cc36689067a (Add subscan operations to preprocess, #1028).
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for simonsobs/sotodlib focusing on Subscan-level TOD analysis in preprocessing. Implemented subscan processing to enable per-subscan statistics, power spectral densities (PSDs), and glitch detection, significantly enhancing data quality assessment and granularity for Time-Ordered Data pipelines. This work supports more robust data products and faster detection of data issues across TOD workflows. Key commit: cfc268f2a2f041b1aebffb6c825f0cc36689067a (Add subscan operations to preprocess, #1028).
December 2024
Activity
Loading activity data...
Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture86.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Python
Technical Skills
Astronomy Data ProcessingBug FixingData AnalysisData ProcessingDatabase ManagementMapmakingRefactoringScientific ComputingSignal ProcessingSoftware DevelopmentSoftware Engineering
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline