
Developed a noise simulation configuration feature for the DUNE/dunereco repository, focusing on enhancing the realism of detector simulations in particle physics research. Leveraged jsonnet to create flexible configurations supporting both correlated and uncorrelated noise within the ICEBERG Wire-Cell framework, enabling more accurate modeling of noise effects in simulation studies. The work integrated data analysis and noise modeling skills, with careful attention to reproducibility and configuration management through version control in Git. By improving simulation fidelity, this contribution allows researchers to better assess the impact of noise on detector performance and supports more informed design and analysis decisions in experimental workflows.
March 2026 monthly summary for DUNE/dunereco. Key feature delivered: Noise Simulation Configuration in ICEBERG Wire-Cell with jsonnet configs enabling correlated and uncorrelated noise. This enhances simulation fidelity for noise modeling in particle detection. Implemented via commit fd92945d789dc05fa126f695fa55afed6f6cef69 in the dunereco repo. Major bugs fixed: none reported this month. Overall impact: improved detector simulation realism, enabling researchers to study noise impacts more accurately and informing design and analysis decisions. Technologies/skills demonstrated: jsonnet-driven configuration, ICEBERG Wire-Cell integration, version control and traceability with Git, reproducible simulations, and configuration management.
March 2026 monthly summary for DUNE/dunereco. Key feature delivered: Noise Simulation Configuration in ICEBERG Wire-Cell with jsonnet configs enabling correlated and uncorrelated noise. This enhances simulation fidelity for noise modeling in particle detection. Implemented via commit fd92945d789dc05fa126f695fa55afed6f6cef69 in the dunereco repo. Major bugs fixed: none reported this month. Overall impact: improved detector simulation realism, enabling researchers to study noise impacts more accurately and informing design and analysis decisions. Technologies/skills demonstrated: jsonnet-driven configuration, ICEBERG Wire-Cell integration, version control and traceability with Git, reproducible simulations, and configuration management.

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