Emanuele Villa developed and standardized detector configuration and data acquisition systems across the DUNE/dunecore, DUNE/dunereco, and DUNE/dunesim repositories, focusing on aligning hardware parameters and simulation fidelity. He upgraded detector stack components to support new geometry models, externalized ADC resolution and gain parameters for flexible runtime configuration, and ensured consistent 14-bit ADC resolution throughout simulation and data processing pipelines. Using C++, CMake, and FCL, Emanuele refactored configuration paths and managed release updates, reducing integration risk and configuration drift. His work demonstrated depth in build system management, configuration management, and embedded systems, resulting in more robust and interoperable detector workflows.
March 2025 monthly performance summary for DUNE repositories. Key features delivered include cross-repo ADC resolution alignment, Nbit standardization, and configuration path stabilization; enablement of trigger data processing in prototypes; and release management improvements. Major business value: reduced configuration drift, improved interoperability across detectors, accelerated physics production pipelines, and streamlined release readiness. Technologies demonstrated: CMake-based release management, FCL/JSONNet parameterization, and modular configuration lookups.
March 2025 monthly performance summary for DUNE repositories. Key features delivered include cross-repo ADC resolution alignment, Nbit standardization, and configuration path stabilization; enablement of trigger data processing in prototypes; and release management improvements. Major business value: reduced configuration drift, improved interoperability across detectors, accelerated physics production pipelines, and streamlined release readiness. Technologies demonstrated: CMake-based release management, FCL/JSONNet parameterization, and modular configuration lookups.
February 2025 monthly highlights across the DUNE repositories focused on data acquisition consistency, hardware parameter standardization, and configurable realism in simulations. Key outcomes are the standardization of ADC resolution and front-end gain to a DAQ-aligned baseline, the externalization of critical configuration parameters for flexibility, and the alignment of simulation parameters with the DAQ standard to ensure fidelity across tests and deployments. No explicit bug fixes were logged in this period; however, the changes reduce configuration drift and data integrity risks by enforcing a single source of truth for ADC resolution and elecGain.
February 2025 monthly highlights across the DUNE repositories focused on data acquisition consistency, hardware parameter standardization, and configurable realism in simulations. Key outcomes are the standardization of ADC resolution and front-end gain to a DAQ-aligned baseline, the externalization of critical configuration parameters for flexibility, and the alignment of simulation parameters with the DAQ standard to ensure fidelity across tests and deployments. No explicit bug fixes were logged in this period; however, the changes reduce configuration drift and data integrity risks by enforcing a single source of truth for ADC resolution and elecGain.
January 2025 monthly summary focusing on delivering a horizontally drift detector configuration compatible with the refactored geometry in the DUNE/dunecore repository. The work centered on upgrading the detector stack to ensure correct operation within the updated geometry and detector services, setting the stage for future geometry migrations and more robust physics workflows.
January 2025 monthly summary focusing on delivering a horizontally drift detector configuration compatible with the refactored geometry in the DUNE/dunecore repository. The work centered on upgrading the detector stack to ensure correct operation within the updated geometry and detector services, setting the stage for future geometry migrations and more robust physics workflows.
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