
J. Soto developed and enhanced data acquisition and processing systems across several DUNE repositories, including DUNE/dunesw, DUNE-DAQ/fdreadoutlibs, and DUNE/duneprototypes. He implemented real-time trigger primitive extraction and processing in C++ for embedded systems, integrating new methods into existing pipelines to improve data validation and analytics. Soto centralized configuration management and refined detector geometry definitions, using CMake and scripting to automate builds and ensure reproducibility. His work included HDF5 and JSON parsing for robust data ingestion, as well as code refactoring and documentation to improve maintainability. These contributions addressed data fidelity, simulation accuracy, and streamlined ongoing development workflows.

Month: 2025-07 | Dunecore (DUNE/dunecore) — Focused on PDHD detector geometry refinement and build automation. Key features delivered: PDHD geometry updated with adjusted XArapuca and Field Cage positions along Y-axis; introduced a Make script to generate geometry files, improving reproducibility and reducing setup time. Major bugs fixed: No major bugs reported this period. Overall impact: Enhanced simulation realism and data quality for PDHD studies through refined geometry; automation accelerates future iterations and ensures consistent configurations. Technologies demonstrated: geometry modeling, build automation with Make, traceability through detailed commit (763ed894d5fb8146df20cc0760e45c1a71143cfc), and strong version-control discipline.
Month: 2025-07 | Dunecore (DUNE/dunecore) — Focused on PDHD detector geometry refinement and build automation. Key features delivered: PDHD geometry updated with adjusted XArapuca and Field Cage positions along Y-axis; introduced a Make script to generate geometry files, improving reproducibility and reducing setup time. Major bugs fixed: No major bugs reported this period. Overall impact: Enhanced simulation realism and data quality for PDHD studies through refined geometry; automation accelerates future iterations and ensures consistent configurations. Technologies demonstrated: geometry modeling, build automation with Make, traceability through detailed commit (763ed894d5fb8146df20cc0760e45c1a71143cfc), and strong version-control discipline.
June 2025 performance summary for DUNE/duneopdet: Delivered ProtoDUNE-VD Optical Detector Digitizer (PDVD) module with C++ digitizer, build system (CMakeLists) updates, and updated FHiCL configurations for waveform generation and analysis. Included readability improvements and a bug fix to ensure correct data logging via DebugTree. This work improves data fidelity for ProtoDUNE-VD digitization and enhances maintainability and build reliability.
June 2025 performance summary for DUNE/duneopdet: Delivered ProtoDUNE-VD Optical Detector Digitizer (PDVD) module with C++ digitizer, build system (CMakeLists) updates, and updated FHiCL configurations for waveform generation and analysis. Included readability improvements and a bug fix to ensure correct data logging via DebugTree. This work improves data fidelity for ProtoDUNE-VD digitization and enhances maintainability and build reliability.
May 2025 performance summary for DUNE/duneprototypes focusing on Daphne PDVD data interface enhancements and PDVD mapping tooling. Implemented multi-subdetector support, streaming frame handling, and HDF5-based readout access, with JSON-based mappings integrated for WireGeometryService. Refactored PDVD mapping algorithm for cleaner integration and updated build scripts to enable JSON handling, establishing robust PDVD data ingestion pipelines and groundwork for downstream analytics.
May 2025 performance summary for DUNE/duneprototypes focusing on Daphne PDVD data interface enhancements and PDVD mapping tooling. Implemented multi-subdetector support, streaming frame handling, and HDF5-based readout access, with JSON-based mappings integrated for WireGeometryService. Refactored PDVD mapping algorithm for cleaner integration and updated build scripts to enable JSON handling, establishing robust PDVD data ingestion pipelines and groundwork for downstream analytics.
March 2025 monthly summary for DUNE-DAQ/fdreadoutlibs. Implemented real-time Trigger Primitives (TP) processing inside DAPHNEFrameProcessor, enabling extraction and forwarding of TP data within the existing processing chain. This included adding TP data extraction methods, configuring a TP sender, and updating the processing pipeline to include TP extraction. Also enhanced reliability by improving error reporting for timestamp continuity issues.
March 2025 monthly summary for DUNE-DAQ/fdreadoutlibs. Implemented real-time Trigger Primitives (TP) processing inside DAPHNEFrameProcessor, enabling extraction and forwarding of TP data within the existing processing chain. This included adding TP data extraction methods, configuring a TP sender, and updating the processing pipeline to include TP extraction. Also enhanced reliability by improving error reporting for timestamp continuity issues.
February 2025: Delivered a key feature in DUNE-DAQ/fdreadoutlibs—PDS Trigger Primitives (TPs) extraction from Daphne frames. Implemented within DaphneFrameProcessor with new TP extraction methods and integrated into the post-processing pipeline to format trigger primitive data for downstream analysis. Commit f8f7f3b4aea7a1930cd43c68e41aae21a70fa264. Impact includes enabling trigger-aware data validation and faster downstream analytics, improving data quality for Daphne-frame workflows. Demonstrated Python-based frame processing, pipeline integration, and Git version control as part of the engineering scope.
February 2025: Delivered a key feature in DUNE-DAQ/fdreadoutlibs—PDS Trigger Primitives (TPs) extraction from Daphne frames. Implemented within DaphneFrameProcessor with new TP extraction methods and integrated into the post-processing pipeline to format trigger primitive data for downstream analysis. Commit f8f7f3b4aea7a1930cd43c68e41aae21a70fa264. Impact includes enabling trigger-aware data validation and faster downstream analytics, improving data quality for Daphne-frame workflows. Demonstrated Python-based frame processing, pipeline integration, and Git version control as part of the engineering scope.
December 2024 monthly review for DUNE/dunesw focusing on configuration correctness, maintainability, and governance. Delivered centralized PDVD Prescale configuration in Dunecore by removing duplicates from multiple FCL files and moving management to a common dunecore configuration, preventing conflicting or redundant settings and reducing ongoing maintenance.
December 2024 monthly review for DUNE/dunesw focusing on configuration correctness, maintainability, and governance. Delivered centralized PDVD Prescale configuration in Dunecore by removing duplicates from multiple FCL files and moving management to a common dunecore configuration, preventing conflicting or redundant settings and reducing ongoing maintenance.
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