
Developed a new DPL workflow for diffusion wake analysis within the AliceO2Group/O2Physics repository, focusing on scalable integration into the existing analysis pipeline. The work involved implementing a producer task to filter collision and track data, isolating relevant inputs to streamline downstream processing. Leveraging C++ and CMake, the workflow was registered in the build system to ensure reproducible builds and seamless adoption. Memory-efficient compression techniques were applied to reduce storage requirements while maintaining data fidelity, supporting larger-scale analyses and extended data retention. The contribution addressed the needs of high energy physics analysis and data processing without introducing any bug fixes.
June 2026 monthly summary for AliceO2Group/O2Physics focused on delivering a new DPL workflow for diffusion wake analysis and enabling scalable use in the analysis pipeline.
June 2026 monthly summary for AliceO2Group/O2Physics focused on delivering a new DPL workflow for diffusion wake analysis and enabling scalable use in the analysis pipeline.

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