
Francesca Ercolessi developed and enhanced advanced data analysis and simulation pipelines for the AliceO2Group/O2Physics and O2DPG repositories, focusing on high energy and particle physics applications. She implemented robust C++ modules for particle correlation studies, event filtering, and V0 analysis, integrating Monte Carlo simulation workflows and configuration-driven features to improve analysis flexibility and reproducibility. Her work included refining histogramming, error handling, and data modeling, as well as expanding generator support for complex collision scenarios. By addressing both feature development and critical bug fixes, Francesca delivered reliable, extensible solutions that improved data quality, analysis accuracy, and simulation fidelity across the codebase.

February 2026 Monthly Summary for AliceO2Group/O2DPG: Focused on extending simulation capabilities by delivering configuration support for Ropes and EPOS generators targeting 5.36 TeV proton–proton collisions. This work enables streamlined setup, reproducible runs, and clearer generator configuration ownership.
February 2026 Monthly Summary for AliceO2Group/O2DPG: Focused on extending simulation capabilities by delivering configuration support for Ropes and EPOS generators targeting 5.36 TeV proton–proton collisions. This work enables streamlined setup, reproducible runs, and clearer generator configuration ownership.
January 2026 monthly performance summary focused on expanding simulation capabilities and improving analysis granularity across the O2DPG and O2Physics repos. Delivered two new physics generators with full configuration and tests, and enhanced LFInJets analysis precision through binning refinements. Emphasis on validation, code quality, and alignment with research goals and project milestones.
January 2026 monthly performance summary focused on expanding simulation capabilities and improving analysis granularity across the O2DPG and O2Physics repos. Delivered two new physics generators with full configuration and tests, and enhanced LFInJets analysis precision through binning refinements. Emphasis on validation, code quality, and alignment with research goals and project milestones.
December 2025 monthly summary for AliceO2Group contributions across O2Physics and O2DPG. The work focused on delivering physics-rich features, tightening data accuracy, and expanding MC capabilities, with direct impact on analysis reliability and simulation fidelity.
December 2025 monthly summary for AliceO2Group contributions across O2Physics and O2DPG. The work focused on delivering physics-rich features, tightening data accuracy, and expanding MC capabilities, with direct impact on analysis reliability and simulation fidelity.
Month 2025-11 – AliceO2Group/O2Physics: Delivered core enhancements for Strangeness in Jets with centrality-aware MC integration, hardened MC processing, and streamlined proton-correlation workflows. These efforts increased physics reach and data-processing robustness while maintaining engineering quality across data models and selection criteria.
Month 2025-11 – AliceO2Group/O2Physics: Delivered core enhancements for Strangeness in Jets with centrality-aware MC integration, hardened MC processing, and streamlined proton-correlation workflows. These efforts increased physics reach and data-processing robustness while maintaining engineering quality across data models and selection criteria.
October 2025 performance highlights focused on delivering robust correlation analyses, data quality improvements, and reliable processing pipelines across two repositories. In O2Physics, expanded particle correlation analyses for hadron-nucleus and deuteron-proton channels were delivered, including anti-proton–proton correlations, signal-loss considerations, corrected mixed-event generation, MC processing refinements, and a refined DeltaEta axis configuration. In QualityControl, a TRM error bin counting fix ensures last-bin inclusion for accurate decoding efficiency calculations. These changes improve physics accuracy, data quality, and processing reliability, supporting higher-statistics analyses and faster iteration.
October 2025 performance highlights focused on delivering robust correlation analyses, data quality improvements, and reliable processing pipelines across two repositories. In O2Physics, expanded particle correlation analyses for hadron-nucleus and deuteron-proton channels were delivered, including anti-proton–proton correlations, signal-loss considerations, corrected mixed-event generation, MC processing refinements, and a refined DeltaEta axis configuration. In QualityControl, a TRM error bin counting fix ensures last-bin inclusion for accurate decoding efficiency calculations. These changes improve physics accuracy, data quality, and processing reliability, supporting higher-statistics analyses and faster iteration.
September 2025: Delivered key V0 analysis improvements in O2Physics to enable more accurate Lambda feeddown studies and improved V0 particle identification in pp collisions. Implemented Lambda feeddown analysis within the V0 analysis framework, with refactored histogram naming/definitions to explicitly track Lambda feeddown contributions from Xi and Xi0 decays, and adjusted the K0s mass cut to enhance analysis accuracy. Introduced Armenteros cut for V0 analysis in pp collisions, including updates to v0postprocessing.cxx with configurable options and refined filtering for K0s and Lambda identification. These changes improve physics reach, reduce systematic uncertainties, and streamline downstream analyses. Primary commits: e0481d539c02eea7792e7248b4623fa2c068abc3 and cf6012c76ffe36f2c8fb33cf5a7e1f1addfe4e9c.
September 2025: Delivered key V0 analysis improvements in O2Physics to enable more accurate Lambda feeddown studies and improved V0 particle identification in pp collisions. Implemented Lambda feeddown analysis within the V0 analysis framework, with refactored histogram naming/definitions to explicitly track Lambda feeddown contributions from Xi and Xi0 decays, and adjusted the K0s mass cut to enhance analysis accuracy. Introduced Armenteros cut for V0 analysis in pp collisions, including updates to v0postprocessing.cxx with configurable options and refined filtering for K0s and Lambda identification. These changes improve physics reach, reduce systematic uncertainties, and streamline downstream analyses. Primary commits: e0481d539c02eea7792e7248b4623fa2c068abc3 and cf6012c76ffe36f2c8fb33cf5a7e1f1addfe4e9c.
Monthly performance summary for 2025-07 focusing on AliceO2Group/O2Physics deliverables. Highlighted efforts stabilized data processing, extended analysis capabilities, and reinforced QA coverage.
Monthly performance summary for 2025-07 focusing on AliceO2Group/O2Physics deliverables. Highlighted efforts stabilized data processing, extended analysis capabilities, and reinforced QA coverage.
June 2025 monthly summary focused on delivering advanced analysis capabilities, improving robustness, and expanding diagnostic visibility across two repositories. Key business value derived from feature-rich enhancements and targeted bug fixes that reduce investigation time and enable more accurate physics conclusions. Delivered features and enhancements: - O2Physics: Added support for deuteron-proton (dp) and proton-proton (pp) correlations in hadron-nucleus analysis, with a new configurable mode to select correlation type, refactored histogram naming and mixing track logic, and standardized the DeltaPhi axis configuration for dp correlations. - O2Physics: Introduced DCAxy histograms for protons, anti-protons, deuterons, and anti-deuterons by origin (primary, secondary weak, secondary material) to improve secondary particle estimation in nuclei-proton angular analyses. - O2Physics: Added 3D histograms to the TOF PID QA task to analyze particle properties versus momentum and eta, enabling more granular visualization of identification performance. Bug fixes and robustness: - QualityControl: Fixed zero-sized readout window handling by adding logging when the window size is zero and ensuring the process continues instead of exiting, improving diagnostics and robustness (#2563). Impact and capabilities: - Expanded analysis coverage for PWGLF-related studies, enabling more precise correlation analyses and more reliable secondary particle estimations. - Improved data quality assessment and debugging capabilities through richer histograms, standardized configuration, and robust handling of edge cases. Technologies and skills demonstrated: - Configuration-driven analysis features and axis customization; advanced histogram management (including DCA and 3D histograms); enhanced logging and diagnostics; cross-repo feature integration and refactoring for clearer data naming and processing pipelines.
June 2025 monthly summary focused on delivering advanced analysis capabilities, improving robustness, and expanding diagnostic visibility across two repositories. Key business value derived from feature-rich enhancements and targeted bug fixes that reduce investigation time and enable more accurate physics conclusions. Delivered features and enhancements: - O2Physics: Added support for deuteron-proton (dp) and proton-proton (pp) correlations in hadron-nucleus analysis, with a new configurable mode to select correlation type, refactored histogram naming and mixing track logic, and standardized the DeltaPhi axis configuration for dp correlations. - O2Physics: Introduced DCAxy histograms for protons, anti-protons, deuterons, and anti-deuterons by origin (primary, secondary weak, secondary material) to improve secondary particle estimation in nuclei-proton angular analyses. - O2Physics: Added 3D histograms to the TOF PID QA task to analyze particle properties versus momentum and eta, enabling more granular visualization of identification performance. Bug fixes and robustness: - QualityControl: Fixed zero-sized readout window handling by adding logging when the window size is zero and ensuring the process continues instead of exiting, improving diagnostics and robustness (#2563). Impact and capabilities: - Expanded analysis coverage for PWGLF-related studies, enabling more precise correlation analyses and more reliable secondary particle estimations. - Improved data quality assessment and debugging capabilities through richer histograms, standardized configuration, and robust handling of edge cases. Technologies and skills demonstrated: - Configuration-driven analysis features and axis customization; advanced histogram management (including DCA and 3D histograms); enhanced logging and diagnostics; cross-repo feature integration and refactoring for clearer data naming and processing pipelines.
April 2025 monthly summary for AliceO2Group/O2Physics focusing on V0 analysis enhancements and code quality improvements.
April 2025 monthly summary for AliceO2Group/O2Physics focusing on V0 analysis enhancements and code quality improvements.
March 2025: PWGLF Correlation Analysis Enhancements in O2Physics delivering consolidated proton-proton correlation generation in MC simulations, along with enhancements to deuteron spectra and nuclei-proton correlation analysis. Implemented new histograms, event mixing, and QA for protons/deuterons; updated histogram definitions and filling logic for nuclei-proton correlations; contributed targeted fixes and improvements to support robust end-to-end analysis pipelines.
March 2025: PWGLF Correlation Analysis Enhancements in O2Physics delivering consolidated proton-proton correlation generation in MC simulations, along with enhancements to deuteron spectra and nuclei-proton correlation analysis. Implemented new histograms, event mixing, and QA for protons/deuterons; updated histogram definitions and filling logic for nuclei-proton correlations; contributed targeted fixes and improvements to support robust end-to-end analysis pipelines.
February 2025 (2025-02) monthly summary for AliceO2Group/O2Physics focused on delivering key analysis enhancements and robust MC correlation improvements. Implemented V0 analysis enhancements to extend the data model with additional track information, refined event selection by replacing isGoodZvtxFT0vsPV with isNoSameBunchPileup, adjusted MC z-vertex cut, and added configurable post-processing cuts for TPC and ITS track quality. Refactored nuclei-proton and hadron-nucleus MC correlations to optimize particle mixing (maxmixcollsGen to cap mixed collisions), improved histogram filling, and streamlined SE/ME mixing, with anti-autocorrelation and matter-generation controls (domatterGen) plus refined particle selection logic. Fixed a bug in proton/antiproton selection for hadron-nucleus correlations to properly include final-state protons/antiprotons that have daughters. These changes raise measurement accuracy, reduce biases, and improve data/MC agreement, enabling more reliable physics interpretations and better use of resources.
February 2025 (2025-02) monthly summary for AliceO2Group/O2Physics focused on delivering key analysis enhancements and robust MC correlation improvements. Implemented V0 analysis enhancements to extend the data model with additional track information, refined event selection by replacing isGoodZvtxFT0vsPV with isNoSameBunchPileup, adjusted MC z-vertex cut, and added configurable post-processing cuts for TPC and ITS track quality. Refactored nuclei-proton and hadron-nucleus MC correlations to optimize particle mixing (maxmixcollsGen to cap mixed collisions), improved histogram filling, and streamlined SE/ME mixing, with anti-autocorrelation and matter-generation controls (domatterGen) plus refined particle selection logic. Fixed a bug in proton/antiproton selection for hadron-nucleus correlations to properly include final-state protons/antiprotons that have daughters. These changes raise measurement accuracy, reduce biases, and improve data/MC agreement, enabling more reliable physics interpretations and better use of resources.
Concise monthly summary focusing on key accomplishments, major bugs fixed, and overall impact for performance reviews. Emphasizes business value, physics correctness, and extensibility of configuration/analysis pipelines.
Concise monthly summary focusing on key accomplishments, major bugs fixed, and overall impact for performance reviews. Emphasizes business value, physics correctness, and extensibility of configuration/analysis pipelines.
November 2024 focused on delivering targeted analysis enhancements within the O2Physics module to improve precision and diagnostic capability for strangeness-in-jets studies and TOF-PID QA workflows. The changes expand data visibility, enable more rigorous centrality-dependent measurements, and broaden performance insights for PID analyses. No major bugs fixed were reported this month. Overall impact includes higher data quality, greater analysis flexibility, and stronger readiness for upcoming physics runs. Technologies/skills demonstrated include TH1D-based histogram usage, axis configurability, and a commit-driven development workflow.
November 2024 focused on delivering targeted analysis enhancements within the O2Physics module to improve precision and diagnostic capability for strangeness-in-jets studies and TOF-PID QA workflows. The changes expand data visibility, enable more rigorous centrality-dependent measurements, and broaden performance insights for PID analyses. No major bugs fixed were reported this month. Overall impact includes higher data quality, greater analysis flexibility, and stronger readiness for upcoming physics runs. Technologies/skills demonstrated include TH1D-based histogram usage, axis configurability, and a commit-driven development workflow.
Monthly performance summary for 2024-10 focusing on AliceO2Group/O2Physics development work. Delivered features to enhance particle identification and data processing, fixed critical TOF Deuteron identification bug, and improved nuclei–proton correlation analysis. The work contributed to higher data quality, reduced background, and more efficient workflows for physics analyses.
Monthly performance summary for 2024-10 focusing on AliceO2Group/O2Physics development work. Delivered features to enhance particle identification and data processing, fixed critical TOF Deuteron identification bug, and improved nuclei–proton correlation analysis. The work contributed to higher data quality, reduced background, and more efficient workflows for physics analyses.
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