
Developed and delivered an Nch Analysis feature for the AliceO2Group/O2Physics repository, enabling centrality-dependent multiplicity studies in particle physics data. The work focused on expanding analytics tooling by introducing configurable parameters and histogram registrations, allowing users to evaluate charged particle multiplicity as a function of centrality. Implemented in C++ with ROOT histogramming, the feature integrated seamlessly into the existing O2Physics analysis chain while maintaining clear documentation and minimal disruption to the pipeline. This addition strengthened analysis workflows, supported data-driven decision-making for centrality studies, and demonstrated proficiency in data analysis, parameter-driven configuration, and version-controlled feature delivery.
March 2026, AliceO2Group/O2Physics: Delivered Nch Analysis for centrality-dependent multiplicity. This feature adds configurable parameters and histogram registrations to enable evaluation of charged particle multiplicity as a function of centrality, improving data processing capabilities and decision-making for centrality studies. No major bugs reported this month; the work focused on expanding analytics tooling with clean, maintainable changes. Overall impact includes strengthened analysis workflows, faster insight generation, and better support for centrality-based physics analyses. Technologies demonstrated include C++/ROOT histogramming, parameter-driven analysis configuration, and integration with the O2Physics analysis chain.
March 2026, AliceO2Group/O2Physics: Delivered Nch Analysis for centrality-dependent multiplicity. This feature adds configurable parameters and histogram registrations to enable evaluation of charged particle multiplicity as a function of centrality, improving data processing capabilities and decision-making for centrality studies. No major bugs reported this month; the work focused on expanding analytics tooling with clean, maintainable changes. Overall impact includes strengthened analysis workflows, faster insight generation, and better support for centrality-based physics analyses. Technologies demonstrated include C++/ROOT histogramming, parameter-driven analysis configuration, and integration with the O2Physics analysis chain.

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