
Viktor Pec contributed to the DUNE experiment by developing and refining detector geometry definitions, data processing modules, and configuration management across the dunecore, duneopdet, and duneprototypes repositories. He expanded and standardized GDML-based geometry configurations using C++ and Perl, improving simulation fidelity and reducing misconfiguration risk. Viktor addressed performance bottlenecks in signal processing by optimizing FFT transformer instantiation and disabling problematic optimizations for long waveforms. He enhanced namespace management to prevent cross-repository conflicts and implemented robust error handling for channel mapping and data decoding. His work demonstrated depth in low-level programming, repository hygiene, and maintainability, supporting reliable simulation and analysis.

During October 2025, I delivered a feature to configure FFT transformer optimization in the Deconvolution module of duneopdet, enabling performance improvements for long waveforms by adjusting ROOT FFT object instantiation. This was complemented by a bug fix in duneprototypes for APA1 PDS modules where the channel map endpoint links were incorrectly configured; correcting the mappings ensures accurate data routing for multi-link endpoints. Together these changes improve processing performance, data integrity, and overall reliability. Skills demonstrated include performance-driven configuration design, ROOT/FFT integration awareness, cross-repo debugging, and git-based change management.
During October 2025, I delivered a feature to configure FFT transformer optimization in the Deconvolution module of duneopdet, enabling performance improvements for long waveforms by adjusting ROOT FFT object instantiation. This was complemented by a bug fix in duneprototypes for APA1 PDS modules where the channel map endpoint links were incorrectly configured; correcting the mappings ensures accurate data routing for multi-link endpoints. Together these changes improve processing performance, data integrity, and overall reliability. Skills demonstrated include performance-driven configuration design, ROOT/FFT integration awareness, cross-repo debugging, and git-based change management.
September 2025 monthly summary focusing on key accomplishments and business value across DUNE repositories. Delivered robust channel handling, performance optimizations, and configuration reliability that reduce runtime, prevent misprocessing, and improve data quality for simulations and analyses.
September 2025 monthly summary focusing on key accomplishments and business value across DUNE repositories. Delivered robust channel handling, performance optimizations, and configuration reliability that reduce runtime, prevent misprocessing, and improve data quality for simulations and analyses.
February 2025 monthly summary for DUNE/duneopdet: Completed a critical namespace refactor to prevent conflicts with the larana OpticalDetector OpHitFinder. Implemented renaming of the OpHitFinder namespace from opdet to duneopdet across multiple C++ files. The change was implemented in commit 41ec728246d0cbdacc22b6401963ae104d05575b. This work enhances build stability, reduces integration risk with the larana stack, and clarifies module boundaries while preserving API compatibility.
February 2025 monthly summary for DUNE/duneopdet: Completed a critical namespace refactor to prevent conflicts with the larana OpticalDetector OpHitFinder. Implemented renaming of the OpHitFinder namespace from opdet to duneopdet across multiple C++ files. The change was implemented in commit 41ec728246d0cbdacc22b6401963ae104d05575b. This work enhances build stability, reduces integration risk with the larana stack, and clarifies module boundaries while preserving API compatibility.
December 2024 monthly summary for DUNE/dunecore focused on delivering the DUNE HD v6 detector geometry expansion and ensuring configuration consistency for robust simulations. The work enhances modeling fidelity, reduces misconfiguration risk, and strengthens development velocity for FD HD geometry.
December 2024 monthly summary for DUNE/dunecore focused on delivering the DUNE HD v6 detector geometry expansion and ensuring configuration consistency for robust simulations. The work enhances modeling fidelity, reduces misconfiguration risk, and strengthens development velocity for FD HD geometry.
November 2024 monthly summary for DUNE/dunecore focusing on stability, maintainability, and documentation improvements in geometry definitions. Key housekeeping and documentation efforts reduced risk of stale data in simulations and improved onboarding for new contributors, while preserving a clear history of changes.
November 2024 monthly summary for DUNE/dunecore focusing on stability, maintainability, and documentation improvements in geometry definitions. Key housekeeping and documentation efforts reduced risk of stale data in simulations and improved onboarding for new contributors, while preserving a clear history of changes.
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