
Tristan Johnson developed and maintained core data processing, simulation, and configuration infrastructure across the DUNE and SBNSoftware repositories, focusing on robust detector data workflows and build reliability. He engineered channel mapping, trigger data handling, and CI/CD pipelines using C++, CMake, and Python, often refactoring modules to centralize logic and resolve circular dependencies. His work included implementing HDF5-based data writers, enhancing configuration management, and aligning APIs for compatibility and maintainability. By addressing both feature delivery and bug fixes, Tristan improved data integrity, streamlined cross-detector support, and ensured reproducible builds, demonstrating depth in software engineering and system integration for large-scale scientific computing.

Month: 2026-01 — Summary of developer team activity focusing on API compatibility, dependency alignment, and codebase simplification across DUNE repositories. The work delivered reduced downstream integration issues, improved performance and maintainability, and demonstrated solid cross-repo collaboration.
Month: 2026-01 — Summary of developer team activity focusing on API compatibility, dependency alignment, and codebase simplification across DUNE repositories. The work delivered reduced downstream integration issues, improved performance and maintainability, and demonstrated solid cross-repo collaboration.
December 2025: Delivered a critical bug fix in the DUNE/dunesw project to ensure calorimetry input labels are correctly applied in force track and shower calorimetry. This change prevents misassigned inputs, improving reconstruction accuracy, data quality, and robustness of downstream physics analyses.
December 2025: Delivered a critical bug fix in the DUNE/dunesw project to ensure calorimetry input labels are correctly applied in force track and shower calorimetry. This change prevents misassigned inputs, improving reconstruction accuracy, data quality, and robustness of downstream physics analyses.
November 2025 monthly summary for DUNE/duneopdet: Focused on code quality and maintainability. Implemented a targeted suppression of Clang compiler warnings by commenting out unused identifiers, reducing build noise and improving adherence to compiler standards. This change enhances code cleanliness and reliability for future development and reviews.
November 2025 monthly summary for DUNE/duneopdet: Focused on code quality and maintainability. Implemented a targeted suppression of Clang compiler warnings by commenting out unused identifiers, reducing build noise and improving adherence to compiler standards. This change enhances code cleanliness and reliability for future development and reviews.
In October 2025, focused on stabilizing CI and detector simulation configuration for DUNE/dunesw. Implemented a critical bug fix to ensure CI tests run with the proper detector simulation setup by correcting the detector file path and replacing references to a missing file with the newer, valid name. This resolved CI failures related to mismatched simulation files, improving feedback loop and reliability.
In October 2025, focused on stabilizing CI and detector simulation configuration for DUNE/dunesw. Implemented a critical bug fix to ensure CI tests run with the proper detector simulation setup by correcting the detector file path and replacing references to a missing file with the newer, valid name. This resolved CI failures related to mismatched simulation files, improving feedback loop and reliability.
Summary for 2025-09: Implemented ICEBERG DAQ HDF5 Raw Digit Data Writer, adding HDF5-based storage for raw digit data and improving integration with existing data frameworks. Introduced WIBEth binary DAQ writer for ICEBERG (commit 4f80a8abe3b76ece6328d170541ed2affefd8d8b). No major bugs fixed this month; stability and integration refinements enhanced reliability of the data ingest workflow. Overall, the work strengthens the DUNE/duneprototypes data pipeline with better storage, interoperability, and throughput.
Summary for 2025-09: Implemented ICEBERG DAQ HDF5 Raw Digit Data Writer, adding HDF5-based storage for raw digit data and improving integration with existing data frameworks. Introduced WIBEth binary DAQ writer for ICEBERG (commit 4f80a8abe3b76ece6328d170541ed2affefd8d8b). No major bugs fixed this month; stability and integration refinements enhanced reliability of the data ingest workflow. Overall, the work strengthens the DUNE/duneprototypes data pipeline with better storage, interoperability, and throughput.
Monthly work summary for 2025-08 focusing on key accomplishments, with emphasis on data quality improvements and configuration maintenance in the SBND software stack.
Monthly work summary for 2025-08 focusing on key accomplishments, with emphasis on data quality improvements and configuration maintenance in the SBND software stack.
July 2025 performance focused on cross-repo modularization, data handling improvements, and build reliability to accelerate Far Detector work. Deliveries center on central data map reuse, FDHD data pathways, and improved visibility and stability in the CI/build process across DUNE software stacks.
July 2025 performance focused on cross-repo modularization, data handling improvements, and build reliability to accelerate Far Detector work. Deliveries center on central data map reuse, FDHD data pathways, and improved visibility and stability in the CI/build process across DUNE software stacks.
June 2025: Delivered cross-repo channel map relocation and data integration to simplify the build, improve reliability, and centralize ProtoDUNE-VD mapping tooling. The work reduces circular dependencies, clarifies the channel mapping flow, and enhances documentation, enabling faster iterations and better maintainability across DUNE components.
June 2025: Delivered cross-repo channel map relocation and data integration to simplify the build, improve reliability, and centralize ProtoDUNE-VD mapping tooling. The work reduces circular dependencies, clarifies the channel mapping flow, and enhances documentation, enabling faster iterations and better maintainability across DUNE components.
May 2025 monthly summary: delivered three core features across DUNE/duneana, DUNE/dunecore, and DUNE/duneprototypes to advance detector-aware data processing and multi-detector support. Key changes include a dependency upgrade for duneanaobj (no code changes) to reduce risk and align with newer libraries; a detector-type aware API retrieveDataForSpecifiedAPAs enabling detector-specific data retrieval with a default no-op implementation for PDVD/FDVD; and PDVD TDEEth decoding support with a refactored data retrieval layer to support BDE and TDE detector types, including config and core decoding tool updates. No major bugs fixed this month; QA efforts are addressing minor defects and regressions. Overall impact: smoother cross-detector data workflows, improved maintainability, and a foundation for future multi-detector analytics. Technologies demonstrated: C++, API design with virtual method patterns, refactoring for detector-agnostic data retrieval, configuration management, and cross-repo collaboration.
May 2025 monthly summary: delivered three core features across DUNE/duneana, DUNE/dunecore, and DUNE/duneprototypes to advance detector-aware data processing and multi-detector support. Key changes include a dependency upgrade for duneanaobj (no code changes) to reduce risk and align with newer libraries; a detector-type aware API retrieveDataForSpecifiedAPAs enabling detector-specific data retrieval with a default no-op implementation for PDVD/FDVD; and PDVD TDEEth decoding support with a refactored data retrieval layer to support BDE and TDE detector types, including config and core decoding tool updates. No major bugs fixed this month; QA efforts are addressing minor defects and regressions. Overall impact: smoother cross-detector data workflows, improved maintainability, and a foundation for future multi-detector analytics. Technologies demonstrated: C++, API design with virtual method patterns, refactoring for detector-agnostic data retrieval, configuration management, and cross-repo collaboration.
Month: 2025-04 — Delivered foundational data-format and trigger-data enhancements across DUNE codebases to improve compatibility, reduce risk, and enable new processing paths. Key features delivered: (1) Data Format Library Version Upgrades in dunecore to latest minor versions of dunedaqdataformats and dunedetdataformats, aligning with downstream readers and tests (commit c722a16e8d8f3f36132d514430d3bf895abb1bdf). (2) Introduced Trigger Data Structures v2 to support extended trigger formats (TP/TA/TC) via new trgdataformats2 structs (commit 2d42d754d53f1bb9ac2114cf6ab51c0ec610b697). In duneprototypes: (3) PDVDTriggerReader4 module added to process updated April 2025 TP/TA/TC formats, modeled on PDVDTriggerReader3 and aligned to dunedaq::trgdataformats2 namespace, including build and config scaffolding (commits f884b75e0558445ff10d8a0c2aed3dfcd8dc5624 and 5a5b0232449c0b36b4067a5b227ff631ce79989a). Major bugs fixed: none reported; note a minor code hygiene update (fix comment) in the PDVDTriggerReader4 work (commit 5a5b0232449c0b36b4067a5b227ff631ce79989a). Overall impact: strengthens data-format compatibility, enables processing of newer trigger data in production and prototype codebases, and shortens integration cycles for downstream consumers. Technologies/skills demonstrated: C++, CMake build configurations, FHiCL, namespace evolution (dunedaq::trgdataformats2), version management of data-format libraries, and module-level data readers.
Month: 2025-04 — Delivered foundational data-format and trigger-data enhancements across DUNE codebases to improve compatibility, reduce risk, and enable new processing paths. Key features delivered: (1) Data Format Library Version Upgrades in dunecore to latest minor versions of dunedaqdataformats and dunedetdataformats, aligning with downstream readers and tests (commit c722a16e8d8f3f36132d514430d3bf895abb1bdf). (2) Introduced Trigger Data Structures v2 to support extended trigger formats (TP/TA/TC) via new trgdataformats2 structs (commit 2d42d754d53f1bb9ac2114cf6ab51c0ec610b697). In duneprototypes: (3) PDVDTriggerReader4 module added to process updated April 2025 TP/TA/TC formats, modeled on PDVDTriggerReader3 and aligned to dunedaq::trgdataformats2 namespace, including build and config scaffolding (commits f884b75e0558445ff10d8a0c2aed3dfcd8dc5624 and 5a5b0232449c0b36b4067a5b227ff631ce79989a). Major bugs fixed: none reported; note a minor code hygiene update (fix comment) in the PDVDTriggerReader4 work (commit 5a5b0232449c0b36b4067a5b227ff631ce79989a). Overall impact: strengthens data-format compatibility, enables processing of newer trigger data in production and prototype codebases, and shortens integration cycles for downstream consumers. Technologies/skills demonstrated: C++, CMake build configurations, FHiCL, namespace evolution (dunedaq::trgdataformats2), version management of data-format libraries, and module-level data readers.
March 2025 monthly summary for DUNE developer work across repositories. Focused on data integrity, mapping optimization, and dependency upgrades to improve data quality, processing performance, and release readiness. Key outcomes include robust channel mapping fixes, performance improvements, alignment with visible-wires data, and stable CI/test configurations.
March 2025 monthly summary for DUNE developer work across repositories. Focused on data integrity, mapping optimization, and dependency upgrades to improve data quality, processing performance, and release readiness. Key outcomes include robust channel mapping fixes, performance improvements, alignment with visible-wires data, and stable CI/test configurations.
February 2025: Delivered a critical CI test configuration alignment in DUNE/dunesw, ensuring the input stage uses reco data and aligns the mergeana stage with the reco pipeline. This fix stabilizes CI results and improves test reliability for upcoming releases.
February 2025: Delivered a critical CI test configuration alignment in DUNE/dunesw, ensuring the input stage uses reco data and aligns the mergeana stage with the reco pipeline. This fix stabilizes CI results and improves test reliability for upcoming releases.
January 2025 focused on strengthening packaging, build reliability, data correctness, and CI efficiency across the DUNE suite. Delivered header installation consistency, ROOT integration improvements, enhanced channel mapping, new visualization tooling, readability enhancements, and streamlined CI configurations to shorten feedback loops and accelerate downstream usage.
January 2025 focused on strengthening packaging, build reliability, data correctness, and CI efficiency across the DUNE suite. Delivered header installation consistency, ROOT integration improvements, enhanced channel mapping, new visualization tooling, readability enhancements, and streamlined CI configurations to shorten feedback loops and accelerate downstream usage.
December 2024 monthly summary focusing on key accomplishments, with a focus on delivering business value and robust technical improvements across three DUNE repositories. Key changes centered on dependency management, configuration correctness, and geometry consistency to enable reliable end-to-end simulations and builds.
December 2024 monthly summary focusing on key accomplishments, with a focus on delivering business value and robust technical improvements across three DUNE repositories. Key changes centered on dependency management, configuration correctness, and geometry consistency to enable reliable end-to-end simulations and builds.
Month 2024-11 – SBNSoftware/sbndcode: Delivered a Timing Information Data Model Enhancement to strengthen the timing data handling, introducing versioned timing data objects and refreshed checksums to ensure data integrity after schema changes. This work lays groundwork for downstream processing and future features with minimal disruption, and aligns with existing data patterns (lardataobj). No separate bug fixes were documented this month; the focus was on data-model modernization and reliability.
Month 2024-11 – SBNSoftware/sbndcode: Delivered a Timing Information Data Model Enhancement to strengthen the timing data handling, introducing versioned timing data objects and refreshed checksums to ensure data integrity after schema changes. This work lays groundwork for downstream processing and future features with minimal disruption, and aligns with existing data patterns (lardataobj). No separate bug fixes were documented this month; the focus was on data-model modernization and reliability.
October 2024 monthly summary for SBNSoftware/sbndcode focused on improving timestamp accuracy by adjusting the timesize parameter in SBNDTPCDecoderDefaults to 1143, based on updated specifications. This change enhances event alignment and data quality for downstream processing with a config-driven approach that minimizes code changes and future maintenance.
October 2024 monthly summary for SBNSoftware/sbndcode focused on improving timestamp accuracy by adjusting the timesize parameter in SBNDTPCDecoderDefaults to 1143, based on updated specifications. This change enhances event alignment and data quality for downstream processing with a config-driven approach that minimizes code changes and future maintenance.
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