
Mattia Faggin developed and maintained advanced data analysis and simulation workflows in the AliceO2Group/O2Physics repository, focusing on high-energy and particle physics applications. Over thirteen months, he engineered features such as PID-aware analysis frameworks, robust Monte Carlo matching, and configurable candidate selection, using C++ and Python with the ROOT framework. His work included optimizing memory usage, automating calibration file detection, and improving background modeling for SigmaC and Lc channels. By refactoring code for maintainability and integrating configuration management, Mattia enhanced analysis reliability, data quality, and workflow efficiency, demonstrating depth in scientific computing, algorithm optimization, and software engineering practices.

January 2026 monthly summary for AliceO2Group/O2Physics focusing on delivering configurable soft-pion candidate selection improvements to enhance analysis flexibility and data quality.
January 2026 monthly summary for AliceO2Group/O2Physics focusing on delivering configurable soft-pion candidate selection improvements to enhance analysis flexibility and data quality.
December 2025 monthly summary focusing on key accomplishments, major fixes, and impact across two repositories (O2Physics and O2DPG).
December 2025 monthly summary focusing on key accomplishments, major fixes, and impact across two repositories (O2Physics and O2DPG).
Nov 2025 highlights for AliceO2Group/O2Physics focusing on correctness, usability, and automation. Key changes include replacing legacy SigmaC decay channel definitions with updated structures for consistent handling across the codebase, and adding automatic run-number autodetection for Oxygen-Oxygen collisions in TrackTuner to simplify configuration and reduce setup errors. These changes were delivered with targeted commits and improve physics reliability as well as operator experience.
Nov 2025 highlights for AliceO2Group/O2Physics focusing on correctness, usability, and automation. Key changes include replacing legacy SigmaC decay channel definitions with updated structures for consistent handling across the codebase, and adding automatic run-number autodetection for Oxygen-Oxygen collisions in TrackTuner to simplify configuration and reduce setup errors. These changes were delivered with targeted commits and improve physics reliability as well as operator experience.
Monthly summary for 2025-10: Focus on implementing automatic DCA calibration file detection in TrackTuner for the O2Physics module to streamline and stabilize the track tuning calibration workflow. This work reduces manual setup, improves calibration consistency, and accelerates calibration cycles.
Monthly summary for 2025-10: Focus on implementing automatic DCA calibration file detection in TrackTuner for the O2Physics module to streamline and stabilize the track tuning calibration workflow. This work reduces manual setup, improves calibration consistency, and accelerates calibration cycles.
September 2025 highlights for AliceO2Group/O2Physics (PWGHF/Sigmac): Delivered improvements to Sigmac background handling and analysis workflow. Key features include a new tree creator and workflow for Sigmac correlated background sources in PWGHF analyses, plus a codebase refactor to streamline decay-channel determination for reuse. Major bug fix removed a meaningless Monte Carlo matching check in rapidity selection, ensuring consistent application of cuts across data and MC. These changes simplify the code, improve analysis reliability, and accelerate Sigmac-related studies, contributing to more robust background modeling and faster iteration cycles.
September 2025 highlights for AliceO2Group/O2Physics (PWGHF/Sigmac): Delivered improvements to Sigmac background handling and analysis workflow. Key features include a new tree creator and workflow for Sigmac correlated background sources in PWGHF analyses, plus a codebase refactor to streamline decay-channel determination for reuse. Major bug fix removed a meaningless Monte Carlo matching check in rapidity selection, ensuring consistent application of cuts across data and MC. These changes simplify the code, improve analysis reliability, and accelerate Sigmac-related studies, contributing to more robust background modeling and faster iteration cycles.
August 2025 | AliceO2Group/O2Physics Overview: - Key features delivered: TrackTuner Input Handling Enhancement; HF Directory CODEOWNERS Update. - Major bugs fixed: DPG Task: Physical Primary Particle Filtering Bug Fix. - Impact: Improved data accuracy, robustness of data loading, clearer ownership, and stronger maintenance practices. - Technologies demonstrated: time-stamp-based CCDB access, CCDB/local file loading improvements, code ownership governance, and cross-team collaboration. Key outcomes by area: - TrackTuner Input Handling Enhancement: Refactor to use getFromTimeStamp for CCDB data retrieval and streamline correction file loading from CCDB or local filesystem; improves robustness and clarity in loading TList and TGraphErrors. Commit 4202972ab25d2a0e35289447eb773aa10492fca6. - HF Directory CODEOWNERS Update: Assign Stefano as code owner for HF directory to strengthen maintenance and accountability. Commit 0de6a247c8b4a9b191c534330984f08b305f9589. - DPG Task: Physical Primary Particle Filtering Bug Fix: Correct filtering to ensure only physical primary particles are processed in the DPG dca task, boosting data processing accuracy. Commit 8cb07094d588618d50e900e2116e2abc66b246c2.
August 2025 | AliceO2Group/O2Physics Overview: - Key features delivered: TrackTuner Input Handling Enhancement; HF Directory CODEOWNERS Update. - Major bugs fixed: DPG Task: Physical Primary Particle Filtering Bug Fix. - Impact: Improved data accuracy, robustness of data loading, clearer ownership, and stronger maintenance practices. - Technologies demonstrated: time-stamp-based CCDB access, CCDB/local file loading improvements, code ownership governance, and cross-team collaboration. Key outcomes by area: - TrackTuner Input Handling Enhancement: Refactor to use getFromTimeStamp for CCDB data retrieval and streamline correction file loading from CCDB or local filesystem; improves robustness and clarity in loading TList and TGraphErrors. Commit 4202972ab25d2a0e35289447eb773aa10492fca6. - HF Directory CODEOWNERS Update: Assign Stefano as code owner for HF directory to strengthen maintenance and accountability. Commit 0de6a247c8b4a9b191c534330984f08b305f9589. - DPG Task: Physical Primary Particle Filtering Bug Fix: Correct filtering to ensure only physical primary particles are processed in the DPG dca task, boosting data processing accuracy. Commit 8cb07094d588618d50e900e2116e2abc66b246c2.
2025-07 Monthly Summary: Delivered robust improvements to MC particle handling and expanded Monte Carlo infrastructure to support SigmaC background studies, strengthening both data processing reliability and physics reach. Key features delivered include templated MC particle retrieval in RecoDecay.h and refactored MC particle matching in Sigmac0++ to enable type-specific access and streamline data handling. Sigmac analysis reliability fixes addressed axis initialization and swap-flagging logic to improve analysis correctness. In O2DPG, introduced MC production configurations for SigmaC background studies, updated Pythia8 generation with new PDG codes/masses for LambdaC(2595) and LambdaC(2625), added a new INI file to define generation, and included a test macro to validate configurations. These efforts collectively reduce analysis errors, enable targeted background studies, and improve reproducibility and maintainability of the workflow.
2025-07 Monthly Summary: Delivered robust improvements to MC particle handling and expanded Monte Carlo infrastructure to support SigmaC background studies, strengthening both data processing reliability and physics reach. Key features delivered include templated MC particle retrieval in RecoDecay.h and refactored MC particle matching in Sigmac0++ to enable type-specific access and streamline data handling. Sigmac analysis reliability fixes addressed axis initialization and swap-flagging logic to improve analysis correctness. In O2DPG, introduced MC production configurations for SigmaC background studies, updated Pythia8 generation with new PDG codes/masses for LambdaC(2595) and LambdaC(2625), added a new INI file to define generation, and included a test macro to validate configurations. These efforts collectively reduce analysis errors, enable targeted background studies, and improve reproducibility and maintainability of the workflow.
June 2025 (AliceO2Group/O2Physics): Delivered a trio of robustness- and capability-enhancing changes that modernize data processing and MC workflow for PID-enabled analyses, while expanding physics reach in SigmaC and Lc channels. Implemented a PID-aware analysis framework with separate data paths and a USE_PID flag, enabling correct handling of data with and without PID. Enhanced SigmaC analysis by adding soft-pion DCA components to THnSparse histograms and by reusing 3-prong decay matching information to streamline MC matching. Expanded MC background modeling for Lc by introducing a keepCorrBkgMC flag in the Lc tree creator to include correlated background sources and adjust candidate selection accordingly. These changes improve analysis correctness, reproducibility, and modeling fidelity, delivering clearer physics signals and more maintainable pipelines.
June 2025 (AliceO2Group/O2Physics): Delivered a trio of robustness- and capability-enhancing changes that modernize data processing and MC workflow for PID-enabled analyses, while expanding physics reach in SigmaC and Lc channels. Implemented a PID-aware analysis framework with separate data paths and a USE_PID flag, enabling correct handling of data with and without PID. Enhanced SigmaC analysis by adding soft-pion DCA components to THnSparse histograms and by reusing 3-prong decay matching information to streamline MC matching. Expanded MC background modeling for Lc by introducing a keepCorrBkgMC flag in the Lc tree creator to include correlated background sources and adjust candidate selection accordingly. These changes improve analysis correctness, reproducibility, and modeling fidelity, delivering clearer physics signals and more maintainable pipelines.
May 2025 performance summary for AliceO2Group/O2Physics: Delivered key features focused on memory efficiency, data quality, and analysis granularity, with improvements in PID data handling, SigmaC analysis, and event selection controls. The changes enhance runtime performance, reduce memory usage, and enable richer data products for downstream ML and analytics.
May 2025 performance summary for AliceO2Group/O2Physics: Delivered key features focused on memory efficiency, data quality, and analysis granularity, with improvements in PID data handling, SigmaC analysis, and event selection controls. The changes enhance runtime performance, reduce memory usage, and enable richer data products for downstream ML and analytics.
April 2025 performance highlights for Sigma_c analyses and physics constants across the O2 stack. Delivered targeted MC matching fixes and enhancements in PWGHF, along with physics-constants updates to support SigmaC states, improving reconstruction fidelity and analysis robustness.
April 2025 performance highlights for Sigma_c analyses and physics constants across the O2 stack. Delivered targeted MC matching fixes and enhancements in PWGHF, along with physics-constants updates to support SigmaC states, improving reconstruction fidelity and analysis robustness.
January 2025 performance summary for AliceO2Group/O2Physics: Delivered feature enhancement to determine the origin of Lc->pKpi triplets by introducing an Origin column in HFLCPOLBKG and implementing origin-based classification. This enables background studies in charm polarization analyses and improves data interpretation for background handling. Commit b8b1059bca4315f8e15fdcc1e81333a76d52fc79 (PR #9331). No major bugs fixed this month. Overall impact: strengthened data provenance, reproducibility, and analytic readiness for polarization studies.
January 2025 performance summary for AliceO2Group/O2Physics: Delivered feature enhancement to determine the origin of Lc->pKpi triplets by introducing an Origin column in HFLCPOLBKG and implementing origin-based classification. This enables background studies in charm polarization analyses and improves data interpretation for background handling. Commit b8b1059bca4315f8e15fdcc1e81333a76d52fc79 (PR #9331). No major bugs fixed this month. Overall impact: strengthened data provenance, reproducibility, and analytic readiness for polarization studies.
December 2024 (2024-12) – O2Physics: Strengthened governance and code review integrity for the AOT-Track by updating CODEOWNERS to include additional collaborators, ensuring proper code review and ownership for ongoing and future development. No other features or bugs were recorded this month in the provided scope; the change improves maintainability and review throughput. Commit reference: d005eaee059db3841295ceb3b18655e868180c65. Business value: clearer ownership, faster PR turnaround, reduced review bottlenecks, and better risk management for code changes in the AOT-Track.
December 2024 (2024-12) – O2Physics: Strengthened governance and code review integrity for the AOT-Track by updating CODEOWNERS to include additional collaborators, ensuring proper code review and ownership for ongoing and future development. No other features or bugs were recorded this month in the provided scope; the change improves maintainability and review throughput. Commit reference: d005eaee059db3841295ceb3b18655e868180c65. Business value: clearer ownership, faster PR turnaround, reduced review bottlenecks, and better risk management for code changes in the AOT-Track.
Monthly summary for 2024-11 focusing on the AliceO2Group/O2Physics repository. Delivered four key features enhancing configurability, QA filtering, and parameter loading reliability, with concrete commit references and clear business value for data quality and workflow efficiency.
Monthly summary for 2024-11 focusing on the AliceO2Group/O2Physics repository. Delivered four key features enhancing configurability, QA filtering, and parameter loading reliability, with concrete commit references and clear business value for data quality and workflow efficiency.
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