
Deniz Tuana Ergonul developed and maintained core data acquisition and processing components for the DUNE-DAQ project, focusing on repositories such as appmodel, fdreadoutlibs, and daqsystemtest. Over eight months, Deniz unified trigger data handling, modernized memory management using C++ and CMake, and introduced vector-based models to improve throughput and safety. She implemented socket-based communication, enhanced error logging, and expanded test automation for distributed systems. Her work included refactoring for code hygiene, integrating CRT data workflows, and enabling configurable runtime parameters. Deniz’s contributions emphasized maintainability, modularity, and reliability, demonstrating depth in backend development, embedded systems, and real-time data processing.

August 2025 monthly summary: Strengthened CRT testing and data handling across DUNE-DAQ repositories to improve test reliability, data integrity, and operational stability. Delivered local CRT emulator support, standardized CRT frame buffering in readout tests, corrected timing synchronization for multiple adapters, integrated CRT frame paths into FDFakeReaderModule, and refined session lifecycle management to reduce flaky tests and operational risk.
August 2025 monthly summary: Strengthened CRT testing and data handling across DUNE-DAQ repositories to improve test reliability, data integrity, and operational stability. Delivered local CRT emulator support, standardized CRT frame buffering in readout tests, corrected timing synchronization for multiple adapters, integrated CRT frame paths into FDFakeReaderModule, and refined session lifecycle management to reduce flaky tests and operational risk.
July 2025 monthly summary for DUNE-DAQ/appmodel focused on delivering configurable postprocessing wait times to increase system flexibility and control over processing latency.
July 2025 monthly summary for DUNE-DAQ/appmodel focused on delivering configurable postprocessing wait times to increase system flexibility and control over processing latency.
June 2025 monthly summary focusing on key features and testing improvements across DUNE-DAQ/appmodel and DUNE-DAQ/daqsystemtest. Delivered the CRTReaderApplication module to replace SocketSenderApplication, updated the build to remove obsolete components and added CRTReaderApplication.cpp implementing module generation logic. Implemented a new Session Management Framework for Testing to orchestrate CRTReaderApplication and ReadoutApplication in controlled test environments. Included non-functional maintenance: whitespace cleanup (code formatting) with no user-facing impact. These changes reduce technical debt, improve modularity, and accelerate end-to-end testing and validation of CRTReader workflows.
June 2025 monthly summary focusing on key features and testing improvements across DUNE-DAQ/appmodel and DUNE-DAQ/daqsystemtest. Delivered the CRTReaderApplication module to replace SocketSenderApplication, updated the build to remove obsolete components and added CRTReaderApplication.cpp implementing module generation logic. Implemented a new Session Management Framework for Testing to orchestrate CRTReaderApplication and ReadoutApplication in controlled test environments. Included non-functional maintenance: whitespace cleanup (code formatting) with no user-facing impact. These changes reduce technical debt, improve modularity, and accelerate end-to-end testing and validation of CRTReader workflows.
May 2025 focused on code quality, maintainability, and runtime data handling enhancements across three repos. Delivered refactors to unify naming for the SocketDataWriter and expanded runtime/testing capabilities with CRT session management and new CRT data processing support.
May 2025 focused on code quality, maintainability, and runtime data handling enhancements across three repos. Delivered refactors to unify naming for the SocketDataWriter and expanded runtime/testing capabilities with CRT session management and new CRT data processing support.
April 2025 performance snapshot focused on stabilizing the data path, improving modularity, and preparing for a minor release across three DUNE-DAQ components. Key work emphasized business value through reliability, maintainability, and clearer error signals.
April 2025 performance snapshot focused on stabilizing the data path, improving modularity, and preparing for a minor release across three DUNE-DAQ components. Key work emphasized business value through reliability, maintainability, and clearer error signals.
March 2025 performance summary focused on delivering foundational networking capabilities, simplifying the data model, and expanding test coverage for distributed DAQ components. The work enabled real-time network-based data transfer between components, reduced data-structure complexity, and established baseline socket-driven inter-process communication with accompanying tests.
March 2025 performance summary focused on delivering foundational networking capabilities, simplifying the data model, and expanding test coverage for distributed DAQ components. The work enabled real-time network-based data transfer between components, reduced data-structure complexity, and established baseline socket-driven inter-process communication with accompanying tests.
November 2024 monthly summary focusing on delivering reliable Trigger Primitive (TP) processing, code quality improvements, and groundwork for new TP analytics across four repositories. The month saw targeted feature delivery, reliability-focused refactors, and diagnostics enhancements that collectively improve system stability, debugging efficiency, and data processing capabilities for future TP logic.
November 2024 monthly summary focusing on delivering reliable Trigger Primitive (TP) processing, code quality improvements, and groundwork for new TP analytics across four repositories. The month saw targeted feature delivery, reliability-focused refactors, and diagnostics enhancements that collectively improve system stability, debugging efficiency, and data processing capabilities for future TP logic.
October 2024 monthly summary: Implemented a modernized Trigger data path with a new TriggerDataHandlingModel, unified handling of TPSet, TriggerActivity, and TriggerCandidate, and migrated away from manual memory management toward robust, vector-based patterns. Expanded multi-TPA support with a dedicated data type and parallel processing path. Introduced vector-based storage and a dedicated TriggerPrimitiveVector for Trigger Primitives, and refined transmission logic to send TPAs as a single unit while guarding against empty transmissions. Across trigger and fdreadoutlibs, these changes improved memory safety, throughput, and maintainability, delivering clear business value through more reliable data handling and scalable multi-TPA support.
October 2024 monthly summary: Implemented a modernized Trigger data path with a new TriggerDataHandlingModel, unified handling of TPSet, TriggerActivity, and TriggerCandidate, and migrated away from manual memory management toward robust, vector-based patterns. Expanded multi-TPA support with a dedicated data type and parallel processing path. Introduced vector-based storage and a dedicated TriggerPrimitiveVector for Trigger Primitives, and refined transmission logic to send TPAs as a single unit while guarding against empty transmissions. Across trigger and fdreadoutlibs, these changes improved memory safety, throughput, and maintainability, delivering clear business value through more reliable data handling and scalable multi-TPA support.
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