
Ivan Ravasenga developed and enhanced calibration, data processing, and visualization workflows across the AliceO2Group/AliceO2 and QualityControl repositories, focusing on the Inner Tracking System. He implemented features such as parallel processing for disordered data, histogram-based monitoring, and Time-of-Arrival-based calibration, using C++, ROOT, and shell scripting. Ivan refactored calibration logic to improve accuracy, memory efficiency, and terminology consistency, while also introducing new run types and clarifying configuration options. His work addressed both performance and maintainability, enabling more reliable detector calibration and streamlined data analysis. The depth of his contributions reflects strong low-level programming and embedded systems expertise.

December 2025: Delivered two high-impact features across QualityControl and AliceO2 that improve data visualization, analysis, and configuration clarity. In QualityControl, introduced stacked cluster center maps for the Inner Barrel (IB) layers, enabling richer visualization and faster analysis of cluster centroids. Commit: c6e3c2cdbbd9bb04c3227f72874b452fe0765162 (#2624). In AliceO2, clarified data replay configuration by renaming the 'local' option to 'local-processing' for scans, reducing ambiguity in replay workflows. Commit: 4090041b401c7aa6c919ca923126fff950cbccd1 (#14920). These changes enhance data quality, streamline investigation workflows, and demonstrate strong ITS calibration alignment across repositories.
December 2025: Delivered two high-impact features across QualityControl and AliceO2 that improve data visualization, analysis, and configuration clarity. In QualityControl, introduced stacked cluster center maps for the Inner Barrel (IB) layers, enabling richer visualization and faster analysis of cluster centroids. Commit: c6e3c2cdbbd9bb04c3227f72874b452fe0765162 (#2624). In AliceO2, clarified data replay configuration by renaming the 'local' option to 'local-processing' for scans, reducing ambiguity in replay workflows. Commit: 4090041b401c7aa6c919ca923126fff950cbccd1 (#14920). These changes enhance data quality, streamline investigation workflows, and demonstrate strong ITS calibration alignment across repositories.
October 2025 performance summary: Delivered two key features across the AliceO2Group repositories to improve calibration flexibility and data processing throughput. 1) Vresetd calibration now separates 1D and 2D processing configurations, enabling tailored calibration paths based on the number of injections and improving accuracy. 2) ITSThresholdCalibrator was enhanced with parallel processing to handle highly disordered data, boosting throughput and data management. A targeted bug fix stabilizes parallel processing for disordered data, further improving robustness. Overall impact: faster, more accurate calibrations with improved reliability and traceability. Technologies demonstrated: modular calibration path refactoring, parallel processing, data management improvements, and end-to-end commit traceability across repositories.
October 2025 performance summary: Delivered two key features across the AliceO2Group repositories to improve calibration flexibility and data processing throughput. 1) Vresetd calibration now separates 1D and 2D processing configurations, enabling tailored calibration paths based on the number of injections and improving accuracy. 2) ITSThresholdCalibrator was enhanced with parallel processing to handle highly disordered data, boosting throughput and data management. A targeted bug fix stabilizes parallel processing for disordered data, further improving robustness. Overall impact: faster, more accurate calibrations with improved reliability and traceability. Technologies demonstrated: modular calibration path refactoring, parallel processing, data management improvements, and end-to-end commit traceability across repositories.
Month 2025-08 recap: Delivered instrumentation and run-type support that strengthens observability, calibration, and data processing pipelines. Introduced histogram-based IB monitoring to track cluster sizes and vertex contributors, and added support for a new 'digital' scan run type to enable flexible digital data acquisition. These capabilities enhance data quality, faster issue detection, and cross-repo maintainability, aligning with business goals for improved analytics and calibration workflows.
Month 2025-08 recap: Delivered instrumentation and run-type support that strengthens observability, calibration, and data processing pipelines. Introduced histogram-based IB monitoring to track cluster sizes and vertex contributors, and added support for a new 'digital' scan run type to enable flexible digital data acquisition. These capabilities enhance data quality, faster issue detection, and cross-repo maintainability, aligning with business goals for improved analytics and calibration workflows.
June 2025 monthly summary for AliceO2Group/QualityControl: Key feature delivered: Time-of-Arrival terminology refactor in ITSThresholdCalibrationTask, replacing 'rise time' (Rt) and 'rise time RMS' (RtRms) with 'time of arrival' (ToA) and 'time of arrival RMS' (ToARms). The change updates variable names, histogram titles, and data parsing logic while preserving the underlying pulse length scanning and calibration functionality. This refactor improves measurement clarity and accuracy across the calibration workflow and aligns terminology with downstream analytics.
June 2025 monthly summary for AliceO2Group/QualityControl: Key feature delivered: Time-of-Arrival terminology refactor in ITSThresholdCalibrationTask, replacing 'rise time' (Rt) and 'rise time RMS' (RtRms) with 'time of arrival' (ToA) and 'time of arrival RMS' (ToARms). The change updates variable names, histogram titles, and data parsing logic while preserving the underlying pulse length scanning and calibration functionality. This refactor improves measurement clarity and accuracy across the calibration workflow and aligns terminology with downstream analytics.
In April 2025, shipped a major enhancement to detector calibration in AliceO2 by switching the timing computation from Rise Time to Time of Arrival (ToA), with extended logging for ToA and its RMS. This involved refactoring calculatePulseParams, updating calculations and variable names, and extending the database/logging to persist ToA metrics. The change improves calibration accuracy and data quality, enabling faster issue diagnosis and better long-term stability of detector performance. All work is tracked under commit 793542f37f169281dbe9f55a746107f5333b9ad0 (From rise time to time of arrival) and ties to issue #14150.
In April 2025, shipped a major enhancement to detector calibration in AliceO2 by switching the timing computation from Rise Time to Time of Arrival (ToA), with extended logging for ToA and its RMS. This involved refactoring calculatePulseParams, updating calculations and variable names, and extending the database/logging to persist ToA metrics. The change improves calibration accuracy and data quality, enabling faster issue diagnosis and better long-term stability of detector performance. All work is tracked under commit 793542f37f169281dbe9f55a746107f5333b9ad0 (From rise time to time of arrival) and ties to issue #14150.
March 2025: ITS Calibration Workflow Enhancements in AliceO2 delivering ROOT-tree support for VCASN and ITHR scans, row-by-row processing to boost efficiency, 2D pulse-shape parameter calculations in finalize(), and refined rise time and ToT calculations aligned with the ALPIDE manual. These changes improve calibration throughput, accuracy, and reproducibility, with clear traceability to commits.
March 2025: ITS Calibration Workflow Enhancements in AliceO2 delivering ROOT-tree support for VCASN and ITHR scans, row-by-row processing to boost efficiency, 2D pulse-shape parameter calculations in finalize(), and refined rise time and ToT calculations aligned with the ALPIDE manual. These changes improve calibration throughput, accuracy, and reproducibility, with clear traceability to commits.
Monthly performance summary for 2025-01 focusing on feature delivery and impact in the Quality Control repository. The work centered on improving data visualization and analysis for the Inner Tracking System (ITS) by refining threshold visualization parameters. No major bugs fixed this month; instead, the feature delivery reduces ambiguity in threshold plots and enhances calibration reliability.
Monthly performance summary for 2025-01 focusing on feature delivery and impact in the Quality Control repository. The work centered on improving data visualization and analysis for the Inner Tracking System (ITS) by refining threshold visualization parameters. No major bugs fixed this month; instead, the feature delivery reduces ambiguity in threshold plots and enhances calibration reliability.
Performance-focused monthly summary for December 2024: Delivered cross-repo calibration processing enhancements and stability improvements. Implemented uniform calibration data handling by enabling --allow-empty-rofs for all calibration scan types in O2DPG, and hardened VRESETD scanning with memory-efficient refactors in ThresholdCalibratorSpec for AliceO2. These changes improve data quality, reliability, and throughput while reducing processing variance and resource usage.
Performance-focused monthly summary for December 2024: Delivered cross-repo calibration processing enhancements and stability improvements. Implemented uniform calibration data handling by enabling --allow-empty-rofs for all calibration scan types in O2DPG, and hardened VRESETD scanning with memory-efficient refactors in ThresholdCalibratorSpec for AliceO2. These changes improve data quality, reliability, and throughput while reducing processing variance and resource usage.
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