AliceO2Group/QualityControl
Feb 2025 – Sep 2025
2 Months active
Languages Used
C++
Technical Skills
Algorithm DevelopmentBug FixC++CalibrationConfiguration ManagementData Analysis
Isakov Artem
PROFILE
Isakov Artem
During her work on the AliceO2Group/QualityControl repository, aisakov developed and enhanced several features focused on improving data calibration, analysis, and visualization for physics software. She refactored the ITS threshold calibration process in C++, introducing per-pixel histograms and robust error handling to better identify noise, dead, and inefficient pixels. Her contributions included extending task parameterization, optimizing payload data handling, and increasing the granularity of data plots, all aimed at improving calibration reliability and data quality. By leveraging skills in algorithm development, data processing, and configuration management, she delivered solutions that enabled more accurate diagnostics and flexible calibration workflows.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
7
Lines of code
580
Activity Months2
Your Network
20 peopleSame Organization
@nikhef.nl5
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a robustness-focused feature for pixel data calibration in QualityControl, significantly improving pixel scan handling and data validation. This work enhances calibration reliability and data quality for downstream analysis, reducing rework and downtime in production scans.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered a robustness-focused feature for pixel data calibration in QualityControl, significantly improving pixel scan handling and data validation. This work enhances calibration reliability and data quality for downstream analysis, reducing rework and downtime in production scans.
September 2025
February 2025
7 Commits • 6 Features
Feb 1, 2025February 2025 monthly summary for AliceO2Group/QualityControl: Delivered several key feature enhancements to ITS/FHR with improved robustness and configurability, and fixed critical issues affecting data quality and visualization. Highlights include noise-pixel identification enhancement using a metric based on total hits and per-chip occupancy; extended ITS task parameters with activity-context aware checks; optional MOs publishing for ITS threshold calibration with configurable default; payload plot granularity and range extended to orbit-based timing; and improved ITS/FEE payload data handling with support for old-style payloads and visualization of empty payload errors. Result: more accurate noise identification, finer control over task validation, flexible calibration workflows, richer visual analyses, and more reliable payload processing.
February 2025
7 Commits • 6 Features
Feb 1, 2025February 2025 monthly summary for AliceO2Group/QualityControl: Delivered several key feature enhancements to ITS/FHR with improved robustness and configurability, and fixed critical issues affecting data quality and visualization. Highlights include noise-pixel identification enhancement using a metric based on total hits and per-chip occupancy; extended ITS task parameters with activity-context aware checks; optional MOs publishing for ITS threshold calibration with configurable default; payload plot granularity and range extended to orbit-based timing; and improved ITS/FEE payload data handling with support for old-style payloads and visualization of empty payload errors. Result: more accurate noise identification, finer control over task validation, flexible calibration workflows, richer visual analyses, and more reliable payload processing.
Activity
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Quality Metrics
Correctness82.4%
Maintainability82.4%
Architecture82.4%
Performance72.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Algorithm DevelopmentBug FixC++CalibrationConfiguration ManagementData AnalysisData ProcessingError HandlingLow-Level ProgrammingPerformance MonitoringPerformance OptimizationPhysics SoftwarePlottingQuality ControlScientific Computing
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