May 2026: Delivered a targeted bug fix to L1B Sweep Table Processing: Correct Time Window Validation. The fix ensures accurate GoodTime window checks, improving data integrity for downstream analyses. Implemented in commit 516258171cb4c8cda961e98fe486caeda29b8649 (Lo), co-authored with Tim Plummer. Included pre-commit hook updates and deprecation cleanup to improve CI hygiene. Impact: more reliable L1B processing, reduced risk of mis-timed data, and clearer traceability.

April 2026 monthly summary focusing on key accomplishments, major bugs fixed, overall impact, and technology/skills demonstrated across two repositories: IMAP-Science-Operations-Center/sds-data-manager and IMAP-Science-Operations-Center/imap_processing. Key features delivered include: (1) Time series data processing enhancements in sds-data-manager by adding goodtimes and bgrate dependencies, enabling enhanced time-series handling and analytics; (2) IMAP-Lo L1B background rates and goodtimes processing in imap_processing to produce SDC-compatible CDF production outputs, with edge-case handling for no goodtimes and expanded test coverage, validated against ancillary files and flight data (2026-02-21 to 02-28); (3) Typographical error fix in core code to improve readability and code quality. Major bugs fixed: typographical error corrected in core code. Overall impact: increased reliability and fidelity of time-series analytics, production-ready data pipelines, and stronger data integrity validations across pipelines. Technologies/skills demonstrated: dependency management and packaging, time-series processing, test coverage and validation, edge-case handling, cross-repo collaboration, data integrity checks and validation against ancillary/flight data. Business value: faster, more reliable analytics, reduced production risk, and improved alignment with production standards.

March 2026: Delivered key features and fixes in IMAP-Science-Operations-Center/imap_processing, focused on L1B data quality, metadata completeness, and robust data products. Performed extensive validation via MATLAB, YAML/metadata cleanup, and configuration updates to GLOWS. Result: higher data accuracy, reliability, and maintainability across L1A/L1B histograms and metadata pipelines.

February 2026 monthly summary for IMAP-Science-Operations-Center/imap_processing focused on cleaning up configuration validation and enriching metadata to improve usability and reliability. Changes reduce complexity, prevent confusion from deprecated options, and enhance data discoverability in downstream workflows.

January 2026 monthly summary for IMAP-Science-Operations-Center/imap_processing: Delivered a new monitoring capability for Lo L1B Rates with improved histogram data handling and the introduction of a new All-Rates dataset. The change enhances operational observability, data quality, and analytics readiness for downstream pipelines. Implemented via a focused commit and aligned with reliability and scalable data processing goals.

December 2025: Delivered key histogram rates processing enhancements and a critical bug fix in the IMAP processing pipeline. Implemented spin cycle calculation and ESA mode settings to improve histogram rate accuracy and processing efficiency; fixed exposure factor application bug by swapping ESA step and azimuth dimensions and initializing exposure factor to 1, with minor xarray usage refinements. Result: more accurate L1B histogram rates, reduced data quality issues, and improved preprocessing throughput for downstream analytics.

During 2025-11, delivered a focused set of documentation, data-model enhancements, processing accuracy improvements, and performance optimizations across the IMAP data processing stack. The work strengthens developer onboarding, increases data reliability, and improves runtime efficiency, enabling more accurate mission data analysis and faster throughput.

Month: 2025-10 — concise performance summary focusing on features delivered, bugs fixed, and business impact across two repositories. Key features delivered: HAE coordinates added to Level 1C pointing data (imap_processing); refactor of background rate error naming and unit tests updated to validate LO pointing data. Pipeline improvements: dependency configuration expanded to support new data products (pset, spin, repoint, spice) in sds-data-manager. Major bugs fixed: ESA energy binning corrected in create_pset_counts with updated test fixtures.

September 2025 monthly summary for the IMAP Science Operations Center development work. This period focused on delivering core data processing enhancements, improving robustness, and expanding capabilities across LO L1B/L1C and related data products, with an emphasis on business value such as data quality, reliability, and pipeline correctness.

August 2025 monthly summary for IMAP Science Operations Center. Delivered targeted data-quality fixes and infrastructure improvements across two repositories, enabling more reliable data products and a clearer release strategy. The work emphasizes data integrity, richer pointing analytics, and maintainable release governance.

July 2025 performance summary for IMAP-Science-Operations-Center/sds-data-manager: Delivered foundational One-Year Map Data Product Configurations to enable longer-term map data processing for ena and isn, and prepared the dependency configuration for extended data pipelines.

June 2025 monthly summary focusing on key features delivered, major bugs fixed, and overall impact across two repositories: imap_processing and sds-data-manager. Delivered enhancements to L2 data processing and 3-month data product configuration for the IMAP-LO instrument, along with critical bug fixes to Lo and HIT processing, and expanded dependency/configuration support for SIT-4 and L1c data products. Implemented safeguards to prevent unintended downstream pipeline triggers for ephemeris_predicted data, enhancing pipeline reliability. Tech stack highlights include CLI-driven L2 processing, SPICE dependency management, and time-kernel dependencies for L1c, plus configuration-driven dependency management for SIT-4 environments. Overall, these changes improve data availability, ISTP compatibility, and operational resilience for end-to-end processing and releases.

May 2025 monthly summary for IMAP Science Operations Center. Delivered end-to-end enhancements across Lo L1C, Lo L2 processing, and SPICE/data-access workflows, expanding the data product capabilities and improving reliability. Key outcomes include initialization of the PSET dataset for Lo L1C, new L2 Hydrogen Flux/Rate processing with sky-map-based projections, enhanced SPICE file handling with Science Frames recognition, and updated kernel frame types for robust data access. All changes are aligned to accelerate science workflows and deliver more accurate, accessible products.

April 2025: Delivered critical LO L1B data processing bug fix and a suite of L1B data product enhancements in IMAP-Science-Operations-Center/imap_processing. Key features: fixed LO L1B dependencies loop to correct input-type handling when fetching science files, reducing runtime errors. Implemented Direct Event epoch field and TOF-related enhancements (TOF1, coincidence type) for direct events; added DN-to-EU conversions for TOF fields. Introduced SPICE-based Direct Event Pointing Bins to improve geometry alignment. These changes enhance data quality, reliability, and downstream usability, enabling science teams to trust and analyze L1B products with better timing, spectroscopy, and pointing accuracy. Demonstrated skills: bug fixing, data product engineering, SPICE-based geometry, unit conversions, and robust code changes. Business value: reduces downstream QA burden, improves timeliness of data products, enabling faster scientific analysis and decision making.

March 2025 monthly summary for IMAP Processing (IMAP-Science-Operations-Center/imap_processing). Focused on delivering data quality improvements and spin data enhancements for L1A/L1B Direct Events, establishing initial L1B-DE processing for IMAP-Lo, and expanding test coverage.

February 2025 performance summary for IMAP-Science-Operations-Center/imap_processing. Key feature delivered: LoL1A Spin Data Processing and Organization. No major bugs fixed this month. Business impact: structuring LoL1A spin data with new variable attributes and a dedicated function to combine and organize data, accompanied by unit tests to ensure correctness, enabling more reliable downstream analytics and faster insights. Demonstrated strengths in data processing pipelines, test-driven development, and CDF data handling.

January 2025 monthly summary for IMAP-Science-Operations-Center/imap_processing: Delivered structured data organization for Lo L1A spin data and reinforced test coverage; no major bugs reported this month; improved readiness for downstream analytics and data-driven decisions.

Month 2024-12 — IMAP-Science-Operations-Center/imap_processing Summary of work: Two major features delivered with direct impact on data quality, processing reliability, and downstream analytics.

Monthly work summary for 2024-11 focusing on key accomplishments in IMAP-Science-Operations-Center/imap_processing. Highlights include documentation overhaul, data handling improvements for LO instrument, hex state value handling in excel_to_xtce, and a bug fix in segmented packet formatting. These efforts improved data integrity, processing efficiency, and test coverage, delivering clear business value for operations and data quality.

Concise monthly summary for 2024-10 focusing on key accomplishments, business impact, and technical achievements for the imap_processing repo.