simonsobs/sotodlib
Nov 2024 – Feb 2026
13 Months active
Languages Used
PythonYAMLrst
Technical Skills
Backend DevelopmentData ProcessingError HandlingMapmakingObservational Data AnalysisPipeline Development
chervias
PROFILE
Chervias
Over 13 months, Aconcagua contributed to the simonsobs/sotodlib repository, building and refining mapmaking and data processing pipelines for astronomical observations. They engineered robust backend features in Python, integrating YAML-driven configuration, FITS file handling, and database schema evolution to support scalable, reproducible workflows. Their work included implementing machine-learning–enhanced mapmaking, atomic database integration, and advanced error handling to improve reliability and data quality. By introducing features like sidelobe-based data pruning and unit-aware outputs, Aconcagua addressed scientific computing challenges while maintaining code clarity and test coverage. Their technical depth is evident in thoughtful refactoring, algorithm optimization, and seamless integration of new data sources.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
29Total
Bugs
7
Commits
29
Features
17
Lines of code
3,856
Activity Months13
Your Network
26 peopleShared Repositories
26
Work History
February 2026
2 Commits • 2 Features
Feb 1, 2026February 2026: Delivered two high-impact features for sotodlib: sidelobe-based data pruning and depth-1 mapmaking enhancements, with improvements to missing data handling and MapCat integration. These changes reduce data contamination from sidelobes, improve mapmaking fidelity, and increase pipeline reliability for downstream science products.
2 Commits • 2 Features
Feb 1, 2026February 2026: Delivered two high-impact features for sotodlib: sidelobe-based data pruning and depth-1 mapmaking enhancements, with improvements to missing data handling and MapCat integration. These changes reduce data contamination from sidelobes, improve mapmaking fidelity, and increase pipeline reliability for downstream science products.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for simonsobs/sotodlib focused on delivering data preprocessing enhancements and stabilizing the first-run workflow. Key improvements were implemented in the atomic filterbin mapmaker, with an emphasis on efficiency, reliability, and storage management.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for simonsobs/sotodlib focused on delivering data preprocessing enhancements and stabilizing the first-run workflow. Key improvements were implemented in the atomic filterbin mapmaker, with an emphasis on efficiency, reliability, and storage management.
December 2025
3 Commits • 1 Features
Dec 1, 2025December 2025 performance highlights for simonsobs/sotodlib focused on stabilizing mapmaking correctness and enriching the data processing pipeline with OBSDB metadata integration. The team delivered two core improvements with clear traceability to code changes and a measurable impact on data quality and analysis reliability.
3 Commits • 1 Features
Dec 1, 2025December 2025 performance highlights for simonsobs/sotodlib focused on stabilizing mapmaking correctness and enriching the data processing pipeline with OBSDB metadata integration. The team delivered two core improvements with clear traceability to code changes and a measurable impact on data quality and analysis reliability.
December 2025
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025: Delivered key data-quality and labeling enhancements in sotodlib, focusing on white-noise standardization, mapmaker labeling, and robust observation processing. Implemented preprocessing-level standard deviation computation for white noise, added labeling updates, and centralized std handling for consistency. Added support for sparse CSR arrays in downsampling and introduced a minimum duration filter to prevent discarding short observations, improving data reliability for mapping. These changes reduce data loss, improve map outputs, and provide a more maintainable preprocessing pipeline.
November 2025
3 Commits • 2 Features
Nov 1, 2025November 2025: Delivered key data-quality and labeling enhancements in sotodlib, focusing on white-noise standardization, mapmaker labeling, and robust observation processing. Implemented preprocessing-level standard deviation computation for white noise, added labeling updates, and centralized std handling for consistency. Added support for sparse CSR arrays in downsampling and introduced a minimum duration filter to prevent discarding short observations, improving data reliability for mapping. These changes reduce data loss, improve map outputs, and provide a more maintainable preprocessing pipeline.
October 2025
3 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10: Focused improvements to the sotodlib mapmaking workflow, delivering granular grouping, corrected band mapping, and MPI robustness. These changes enhance data fidelity, pipeline reliability, and scalability in production, enabling more accurate analyses and reducing risk of runtime failures on large datasets.
3 Commits • 1 Features
Oct 1, 2025Monthly summary for 2025-10: Focused improvements to the sotodlib mapmaking workflow, delivering granular grouping, corrected band mapping, and MPI robustness. These changes enhance data fidelity, pipeline reliability, and scalability in production, enabling more accurate analyses and reducing risk of runtime failures on large datasets.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key features delivered: Implemented AtomicInfo meteorological data support in simonsobs/sotodlib by adding wind_speed and wind_direction fields to AtomicInfo in utils.py to store wind data associated with observations. This schema evolution enables richer meteorological context for observations, improving data quality, downstream analytics, and modeling capabilities.
September 2025
1 Commits • 1 Features
Sep 1, 2025Month: 2025-09 — Key features delivered: Implemented AtomicInfo meteorological data support in simonsobs/sotodlib by adding wind_speed and wind_direction fields to AtomicInfo in utils.py to store wind data associated with observations. This schema evolution enables richer meteorological context for observations, improving data quality, downstream analytics, and modeling capabilities.
August 2025
1 Commits
Aug 1, 2025Monthly work summary for 2025-08 (simonsobs/sotodlib). Focused on reliability improvements in data processing pipelines and robust error handling for mapmaker scripts. This period centered on ensuring graceful behavior when no TODs are available, reducing spurious failure signals and preserving workflow continuity.
1 Commits
Aug 1, 2025Monthly work summary for 2025-08 (simonsobs/sotodlib). Focused on reliability improvements in data processing pipelines and robust error handling for mapmaker scripts. This period centered on ensuring graceful behavior when no TODs are available, reducing spurious failure signals and preserving workflow continuity.
August 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Public API exposure and default behavior standardization for the demod map component in simonsobs/sotodlib. Exposed setup_demod_map in the public API via __all__ to improve tutorial accessibility, and standardized the default for split_labels to ['full'] in both setup_demod_map and make_demod_map to ensure consistent behavior across usage scenarios. Implemented through demod_mapmaker.py updates associated with commit a22ef140947f3753ad264500f1f57708e93f002e. These changes enhance API discoverability, reproducibility, and onboarding while reducing behavioral ambiguity in analyses that rely on demod maps.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Public API exposure and default behavior standardization for the demod map component in simonsobs/sotodlib. Exposed setup_demod_map in the public API via __all__ to improve tutorial accessibility, and standardized the default for split_labels to ['full'] in both setup_demod_map and make_demod_map to ensure consistent behavior across usage scenarios. Implemented through demod_mapmaker.py updates associated with commit a22ef140947f3753ad264500f1f57708e93f002e. These changes enhance API discoverability, reproducibility, and onboarding while reducing behavioral ambiguity in analyses that rely on demod maps.
June 2025
3 Commits • 2 Features
Jun 1, 2025June 2025 monthly wrap-up for simonsobs/sotodlib. Key features delivered include PSD-based mapmaking weighting, enabling use of PSD from preprocessing as weights in mapmaking; refactor of NmatWhite; updates to DemodMapmaker and related functions to incorporate the use_psd option; and unit tests adjusted for compatibility with the new functionality. Also delivered atomic mapmaking database integration, introducing a new atomic database for storing mapmaking information; refactoring mapmaking processes; enhanced write_demod_maps to manage validity of atomic entries and integrate atomic DB writing into make_demod_map; updated data passing and storage for detector counts and map weights. Additionally fixed a bug: safe file handling in the context module by using with open for safer file operations, improving robustness of configuration file loading.
3 Commits • 2 Features
Jun 1, 2025June 2025 monthly wrap-up for simonsobs/sotodlib. Key features delivered include PSD-based mapmaking weighting, enabling use of PSD from preprocessing as weights in mapmaking; refactor of NmatWhite; updates to DemodMapmaker and related functions to incorporate the use_psd option; and unit tests adjusted for compatibility with the new functionality. Also delivered atomic mapmaking database integration, introducing a new atomic database for storing mapmaking information; refactoring mapmaking processes; enhanced write_demod_maps to manage validity of atomic entries and integrate atomic DB writing into make_demod_map; updated data passing and storage for detector counts and map weights. Additionally fixed a bug: safe file handling in the context module by using with open for safer file operations, improving robustness of configuration file loading.
June 2025
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 summary for simonsobs/sotodlib focused on delivering high-value, technically robust improvements to mapmaking and data preprocessing. The month emphasized integrating machine-learning–driven enhancements into the TOAST mapmaking workflow, while simultaneously strengthening the data preprocessing pipeline for efficiency and robustness. The work advances multipass mapmaking capabilities, refines noise handling, and improves data reduction with simulated data support.
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 summary for simonsobs/sotodlib focused on delivering high-value, technically robust improvements to mapmaking and data preprocessing. The month emphasized integrating machine-learning–driven enhancements into the TOAST mapmaking workflow, while simultaneously strengthening the data preprocessing pipeline for efficiency and robustness. The work advances multipass mapmaking capabilities, refines noise handling, and improves data reduction with simulated data support.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for simonsobs/sotodlib focusing on delivering unit-aware FITS map outputs with unit metadata propagation across mapmakers. The work centers on extending write methods to accept unit arguments, propagating unit metadata in FITS files, and updating map-writing paths to pass unit information, thereby improving data interpretability and downstream analysis readiness.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for simonsobs/sotodlib focusing on delivering unit-aware FITS map outputs with unit metadata propagation across mapmakers. The work centers on extending write methods to accept unit arguments, propagating unit metadata in FITS files, and updating map-writing paths to pass unit information, thereby improving data interpretability and downstream analysis readiness.
March 2025
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for simonsobs/sotodlib: Delivered targeted improvements to flag handling, pipeline configuration, and connectivity robustness that enhance data quality, reliability, and maintainability. The work aligns processing steps across preprocessing and mapmaker, centralizes configuration through YAML-driven parameters, and hardens connectivity to prevent runtime errors in production processing.
December 2024
4 Commits • 2 Features
Dec 1, 2024December 2024 monthly summary for simonsobs/sotodlib: Delivered targeted improvements to flag handling, pipeline configuration, and connectivity robustness that enhance data quality, reliability, and maintainability. The work aligns processing steps across preprocessing and mapmaker, centralizes configuration through YAML-driven parameters, and hardens connectivity to prevent runtime errors in production processing.
November 2024
4 Commits • 1 Features
Nov 1, 2024Nov 2024 monthly summary for simonsobs/sotodlib: Delivered mapmaking pipeline enhancements and refactor consolidating modularization, data-driven configuration of observation lists, and new atomic map creation support to boost robustness and processing efficiency. Implemented case-insensitive tube_flavor handling to prevent mapmaking errors by expanding accepted values and ensuring consistent band list determination. Also integrated data flow improvements by loading wafer lists and frequencies from obsdb and aligning the SAT filter + bin demod mapmaking script with the site-pipeline. These changes reduce configuration errors, improve reproducibility, and support scalable processing for larger surveys.
4 Commits • 1 Features
Nov 1, 2024Nov 2024 monthly summary for simonsobs/sotodlib: Delivered mapmaking pipeline enhancements and refactor consolidating modularization, data-driven configuration of observation lists, and new atomic map creation support to boost robustness and processing efficiency. Implemented case-insensitive tube_flavor handling to prevent mapmaking errors by expanding accepted values and ensuring consistent band list determination. Also integrated data flow improvements by loading wafer lists and frequencies from obsdb and aligning the SAT filter + bin demod mapmaking script with the site-pipeline. These changes reduce configuration errors, improve reproducibility, and support scalable processing for larger surveys.
November 2024
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Quality Metrics
Correctness84.8%
Maintainability83.2%
Architecture80.6%
Performance76.6%
AI Usage22.0%
Skills & Technologies
Programming Languages
PythonYAMLrst
Technical Skills
Array ManipulationAstronomy SoftwareBackend DevelopmentBug FixingCode RefactoringConfiguration ManagementContext ManagementData AnalysisData EngineeringData PreprocessingData ProcessingData Quality ControlDatabase ManagementDatabase Schema DesignError Handling
Repositories Contributed To
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