
Paula Lapa built and maintained advanced simulation and data analysis workflows for the DUNE experiment, focusing on the dunesw and duneopdet repositories. She unified detector simulation configurations across geometries, standardized background generation, and enhanced supernova reconstruction pipelines using C++ and FHiCL. Her work included developing configurable computation graphs for Xe-doping scenarios and optimizing output data to improve analysis efficiency. Paula applied configuration management and build system expertise, streamlining CMake-based builds and reducing technical debt. Her disciplined, version-controlled approach improved reproducibility, maintainability, and data quality, enabling more reliable physics analyses and accelerating iteration for high energy physics software development teams.

January 2026 (2026-01) – DUNE/duneopdet monthly summary. Key features delivered: - PDVD Xe Computation Graph Configuration for Xe Doping Simulations introduced, enabling more accurate Xe-doping modeling and flexible experiment configurations. Commit: 41d75110107fc03333eeac9856e18bfdd384ec68 (New PDVD Xe comp graph config). Major bugs fixed: - No major bugs reported this month. Overall impact and accomplishments: - Expanded Xe-doping simulation capabilities with a configurable PDVD computation graph, improving realism and enabling faster iteration for researchers. - Clear feature scope and version-controlled delivery provide a solid foundation for future enhancements in the PDVD workflow. Technologies/skills demonstrated: - PDVD computation graph configuration, Xe-doping domain knowledge, and configuration-driven design. - Git/version-control discipline with traceable commits, enabling reproducibility and auditability.
January 2026 (2026-01) – DUNE/duneopdet monthly summary. Key features delivered: - PDVD Xe Computation Graph Configuration for Xe Doping Simulations introduced, enabling more accurate Xe-doping modeling and flexible experiment configurations. Commit: 41d75110107fc03333eeac9856e18bfdd384ec68 (New PDVD Xe comp graph config). Major bugs fixed: - No major bugs reported this month. Overall impact and accomplishments: - Expanded Xe-doping simulation capabilities with a configurable PDVD computation graph, improving realism and enabling faster iteration for researchers. - Clear feature scope and version-controlled delivery provide a solid foundation for future enhancements in the PDVD workflow. Technologies/skills demonstrated: - PDVD computation graph configuration, Xe-doping domain knowledge, and configuration-driven design. - Git/version-control discipline with traceable commits, enabling reproducibility and auditability.
November 2025 monthly summary for DUNE/duneopdet: Delivered OpticalDetector Data Analysis Analyzers to enhance processing of optical detector data, enabling more precise analysis of optical hits and photon detection in the DUNE experiment. Implemented OpticalDetector Build System Cleanup by removing unnecessary dependencies and simplifying CMakeLists.txt to streamline builds and reduce potential configuration issues. These changes improve data analysis throughput, reliability, and developer productivity, and align the project with LArSoft-inspired tooling. Key commits include 604ee6de043d8711cc417388511613920e40da61 (Analyzers from LArSoft school) and c7bfdd8cf3a99f1c4d4e8a075522877bb1772500 (Cleaning up).
November 2025 monthly summary for DUNE/duneopdet: Delivered OpticalDetector Data Analysis Analyzers to enhance processing of optical detector data, enabling more precise analysis of optical hits and photon detection in the DUNE experiment. Implemented OpticalDetector Build System Cleanup by removing unnecessary dependencies and simplifying CMakeLists.txt to streamline builds and reduce potential configuration issues. These changes improve data analysis throughput, reliability, and developer productivity, and align the project with LArSoft-inspired tooling. Key commits include 604ee6de043d8711cc417388511613920e40da61 (Analyzers from LArSoft school) and c7bfdd8cf3a99f1c4d4e8a075522877bb1772500 (Cleaning up).
In Oct 2025, delivered an update to the PDVD Ar Fast Optical Simulation configuration to align with the latest model and added explicit user guidance to handle version mismatches. This work improves model compatibility, reduces configuration errors, and supports downstream workflows in DUNE/duneopdet.
In Oct 2025, delivered an update to the PDVD Ar Fast Optical Simulation configuration to align with the latest model and added explicit user guidance to handle version mismatches. This work improves model compatibility, reduces configuration errors, and supports downstream workflows in DUNE/duneopdet.
June 2025 monthly summary for DUNE/dunesw: Key features delivered and major bugs fixed, with emphasis on business value, reliability, and reproducibility of simulation workflows.
June 2025 monthly summary for DUNE/dunesw: Key features delivered and major bugs fixed, with emphasis on business value, reliability, and reproducibility of simulation workflows.
Concise monthly summary for 2025-03 focused on delivering robust analysis configurations, stabilizing the LE (Low Energy) processing workflows, and improving pipeline reliability across DUNE d-line experiments. The month emphasized explicit configuration improvements, better data handling, and clearer traceability for business-critical analyses in supernova and low-energy workflows.
Concise monthly summary for 2025-03 focused on delivering robust analysis configurations, stabilizing the LE (Low Energy) processing workflows, and improving pipeline reliability across DUNE d-line experiments. The month emphasized explicit configuration improvements, better data handling, and clearer traceability for business-critical analyses in supernova and low-energy workflows.
February 2025 monthly summary for DUNE/dunesw. Delivered targeted beam generation configuration to improve detector simulations for ProtoduneHD, enabling reproducible single-beam particle studies and more realistic background/cosmic ray scenarios.
February 2025 monthly summary for DUNE/dunesw. Delivered targeted beam generation configuration to improve detector simulations for ProtoduneHD, enabling reproducible single-beam particle studies and more realistic background/cosmic ray scenarios.
December 2024: Delivered key DUNE SW enhancements in the dunesw repository, focusing on improving reconstruction-focused data processing and ensuring consistent physics simulations across detector configurations. The Reco2 Supernova workflow now defines a new dunefd_horizdrift_workflow_reco2_supernova, excludes specified simulated records, and integrates clustering and reconstruction steps to emphasize reconstructed data outputs, enhancing signal fidelity and reducing non-reconstructed data in downstream analyses. Background generation configuration was standardized across detector geometries by directly referencing producer tables and sequences to ensure consistent physics simulations. Collectively, these changes improve reproducibility, accelerate iteration, and strengthen end-to-end data quality for supernova reconstruction workflows across the DUNE suite.
December 2024: Delivered key DUNE SW enhancements in the dunesw repository, focusing on improving reconstruction-focused data processing and ensuring consistent physics simulations across detector configurations. The Reco2 Supernova workflow now defines a new dunefd_horizdrift_workflow_reco2_supernova, excludes specified simulated records, and integrates clustering and reconstruction steps to emphasize reconstructed data outputs, enhancing signal fidelity and reducing non-reconstructed data in downstream analyses. Background generation configuration was standardized across detector geometries by directly referencing producer tables and sequences to ensure consistent physics simulations. Collectively, these changes improve reproducibility, accelerate iteration, and strengthen end-to-end data quality for supernova reconstruction workflows across the DUNE suite.
November 2024 focused on maintainability and data efficiency for DUNE/dunesw across detector geometries. Delivered cross-geometry configuration improvements and data-output optimization, with clear traceability through commits.
November 2024 focused on maintainability and data efficiency for DUNE/dunesw across detector geometries. Delivered cross-geometry configuration improvements and data-output optimization, with clear traceability through commits.
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