JeffersonLab/coatjava
Apr 2024 – Feb 2026
17 Months active
Languages Used
JavaC++ShellPythonN/AYAMLBashGroovy
Technical Skills
3D modelingGeant4Geant4 simulationJavaJava programmingPhysics simulation
Raffaella De Vita
PROFILE
Raffaella De Vita
Over 17 months, Silvia De Vita engineered core enhancements for the JeffersonLab/coatjava repository, focusing on detector calibration, geometry integration, and data processing reliability. She developed unified calibration frameworks and enriched data pipelines for subsystems like FTOF, DC, RICH, and CTOF, leveraging Java and C++ to streamline workflows and improve analysis accuracy. Her work included integrating new detector geometries, optimizing event reconstruction, and automating deployment processes, often refactoring code for maintainability and extensibility. By addressing both feature development and critical bug fixes, Silvia demonstrated depth in backend development, calibration systems, and simulation, consistently delivering robust solutions to complex physics software challenges.
Overall Statistics
Feature vs Bugs
62%Features
Repository Contributions
52Total
Bugs
15
Commits
52
Features
24
Lines of code
8,200
Activity Months17
Your Network
19 people
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Implemented URWell Geometry Integration in JeffersonLab/coatjava. Refactored core geometry handling to accommodate URWell, added new constants and factories, and prepared the codebase for future geometry extensions. Commit: 6ab288d3a2efe1425450a7b5034877f600d10701 (integrate urwell geometry (#1095)).
1 Commits • 1 Features
Feb 1, 2026February 2026: Implemented URWell Geometry Integration in JeffersonLab/coatjava. Refactored core geometry handling to accommodate URWell, added new constants and factories, and prepared the codebase for future geometry extensions. Commit: 6ab288d3a2efe1425450a7b5034877f600d10701 (integrate urwell geometry (#1095)).
February 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Vertexing Path Length Limitation and Data Structure Enhancement in JeffersonLab/coatjava. The changes cap swimming path length for vertexing and extend the data model with new vertex-related fields, enabling faster vertex reconstruction and richer analytics. This work establishes a solid foundation for upcoming vertexing features and metrics. All work is tracked in a focused commit.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Vertexing Path Length Limitation and Data Structure Enhancement in JeffersonLab/coatjava. The changes cap swimming path length for vertexing and extend the data model with new vertex-related fields, enabling faster vertex reconstruction and richer analytics. This work establishes a solid foundation for upcoming vertexing features and metrics. All work is tracked in a focused commit.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: JeffersonLab/coatjava delivered DC2 Reconstruction Enhancements with updated event handling and test configurations, improving reconstruction throughput and validation. The work includes a targeted commit enabling MC for DC2 reconstruction (#906) and aligns tests for stable CI. No major bugs fixed this month; focused on feature delivery, code quality, and production readiness.
1 Commits • 1 Features
Nov 1, 2025November 2025: JeffersonLab/coatjava delivered DC2 Reconstruction Enhancements with updated event handling and test configurations, improving reconstruction throughput and validation. The work includes a targeted commit enabling MC for DC2 reconstruction (#906) and aligns tests for stable CI. No major bugs fixed this month; focused on feature delivery, code quality, and production readiness.
November 2025
October 2025
5 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for JeffersonLab/coatjava highlighting key features delivered, major bugs fixed, and impact. Focus on business value and technical achievements.
October 2025
5 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for JeffersonLab/coatjava highlighting key features delivered, major bugs fixed, and impact. Focus on business value and technical achievements.
September 2025
2 Commits • 1 Features
Sep 1, 20252025-09 monthly summary for JeffersonLab/coatjava: Delivered concrete improvements in data integrity and deployment automation through targeted features and fixes. The month focused on reliable scaler data under DSC2 clock rollovers and faster, safer network configuration deployment across run ranges.
2 Commits • 1 Features
Sep 1, 20252025-09 monthly summary for JeffersonLab/coatjava: Delivered concrete improvements in data integrity and deployment automation through targeted features and fixes. The month focused on reliable scaler data under DSC2 clock rollovers and faster, safer network configuration deployment across run ranges.
September 2025
August 2025
8 Commits • 2 Features
Aug 1, 2025August 2025: Delivered CTOF calibration integration across default detectors and service configurations, integrated CalibEngine, updated monitoring schemas, and fixed YAML engine references to use CalibBanksEngine. Implemented decoding for composite bank 0xE103 (streaming readout) and completed refactor of calibration components to BankBuilder for consistency. Prepared for release with coatjava 13.2.0, aligned RawBank default order to NOISE1, and updated CODEOWNERS for the calibration module to strengthen reviews. Result: improved data quality, reliability, and maintainability across calibration and streaming data paths.
August 2025
8 Commits • 2 Features
Aug 1, 2025August 2025: Delivered CTOF calibration integration across default detectors and service configurations, integrated CalibEngine, updated monitoring schemas, and fixed YAML engine references to use CalibBanksEngine. Implemented decoding for composite bank 0xE103 (streaming readout) and completed refactor of calibration components to BankBuilder for consistency. Prepared for release with coatjava 13.2.0, aligned RawBank default order to NOISE1, and updated CODEOWNERS for the calibration module to strengthen reviews. Result: improved data quality, reliability, and maintainability across calibration and streaming data paths.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for JeffersonLab/coatjava: Focused on release readiness and versioning discipline. Delivered the Release Version Update to 13.1.0 to align with the upcoming release, with commit 2bdbcc93a4465fe4ba3b8718e85c38dd094edecc. No high-severity bugs were recorded; the month's work centered on ensuring packaging integrity, traceability, and readiness for CI/CD deployment. Impact: reduces release risk, improves downstream compatibility, and strengthens release governance. Technologies/skills demonstrated: semantic versioning, Git-based release management, build tooling integration, and documentation alignment.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for JeffersonLab/coatjava: Focused on release readiness and versioning discipline. Delivered the Release Version Update to 13.1.0 to align with the upcoming release, with commit 2bdbcc93a4465fe4ba3b8718e85c38dd094edecc. No high-severity bugs were recorded; the month's work centered on ensuring packaging integrity, traceability, and readiness for CI/CD deployment. Impact: reduces release risk, improves downstream compatibility, and strengthens release governance. Technologies/skills demonstrated: semantic versioning, Git-based release management, build tooling integration, and documentation alignment.
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025Implemented end-to-end detector calibration enhancements for FTOF and CTOF in JeffersonLab/coatjava, improving calibration precision and data completeness. Refactored FTOFCalibrator to directly set px, py, pz and to include vx, vy, vz in calibration data; added a dedicated CTOF calibrator; integrated both into the central calibration engine with event filtering and cross-subsystem calibration data banks. These changes streamline calibration workflow, reduce manual steps, and enhance data quality for downstream analyses.
June 2025
2 Commits • 1 Features
Jun 1, 2025Implemented end-to-end detector calibration enhancements for FTOF and CTOF in JeffersonLab/coatjava, improving calibration precision and data completeness. Refactored FTOFCalibrator to directly set px, py, pz and to include vx, vy, vz in calibration data; added a dedicated CTOF calibrator; integrated both into the central calibration engine with event filtering and cross-subsystem calibration data banks. These changes streamline calibration workflow, reduce manual steps, and enhance data quality for downstream analyses.
May 2025
1 Commits • 1 Features
May 1, 2025In May 2025, JeffersonLab/coatjava delivered a significant enhancement to the RICH calibration workflow. The team enriched calibration data by pulling additional variables from the RICH::Particle bank and established a mapping between particle indices and RICH bank indices to streamline retrieval. New calibration bank entries now include emission layer, emission coincidence, emission quality, and start time to improve data quality and downstream analytics. These changes position the calibration pipeline for more accurate particle identification and faster analysis cycles, with a clear trace to the commit 2bd62081902fbf4cbd090e8da534b091cb724861.
1 Commits • 1 Features
May 1, 2025In May 2025, JeffersonLab/coatjava delivered a significant enhancement to the RICH calibration workflow. The team enriched calibration data by pulling additional variables from the RICH::Particle bank and established a mapping between particle indices and RICH bank indices to streamline retrieval. New calibration bank entries now include emission layer, emission coincidence, emission quality, and start time to improve data quality and downstream analytics. These changes position the calibration pipeline for more accurate particle identification and faster analysis cycles, with a clear trace to the commit 2bd62081902fbf4cbd090e8da534b091cb724861.
May 2025
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for JeffersonLab/coatjava focusing on geometry realignment, data enrichment, and data loading reliability to improve physics analyses through better hit position calculation, Kalman filtering integration, and data pipeline stability.
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for JeffersonLab/coatjava focusing on geometry realignment, data enrichment, and data loading reliability to improve physics analyses through better hit position calculation, Kalman filtering integration, and data pipeline stability.
March 2025
6 Commits • 5 Features
Mar 1, 2025March 2025 (2025-03) coatjava monthly summary: Delivered structured features across RICH calibration, DC tracking, EVIO decoding, DCRB firmware, and release readiness. These efforts improved data quality, tracking performance, decoding robustness, and deployment readiness, enabling more accurate physics analyses and smoother releases.
6 Commits • 5 Features
Mar 1, 2025March 2025 (2025-03) coatjava monthly summary: Delivered structured features across RICH calibration, DC tracking, EVIO decoding, DCRB firmware, and release readiness. These efforts improved data quality, tracking performance, decoding robustness, and deployment readiness, enabling more accurate physics analyses and smoother releases.
March 2025
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for JeffersonLab/coatjava focusing on calibration infrastructure and detector coverage across FTOF, DC, and RICH. Delivered a unified calibration framework with detector-agnostic components, expanded calibration capabilities, and improvements that increase data acceptance and reduce configuration errors.
February 2025
5 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for JeffersonLab/coatjava focusing on calibration infrastructure and detector coverage across FTOF, DC, and RICH. Delivered a unified calibration framework with detector-agnostic components, expanded calibration capabilities, and improvements that increase data acceptance and reduce configuration errors.
December 2024
3 Commits • 2 Features
Dec 1, 2024December 2024 — JeffersonLab/coatjava: Delivered stability improvements, simplified configuration, and updated release-ready network data for Spring28. These efforts reduced runtime risk, improved maintainability, and aligned with the Spring28 release plan.
3 Commits • 2 Features
Dec 1, 2024December 2024 — JeffersonLab/coatjava: Delivered stability improvements, simplified configuration, and updated release-ready network data for Spring28. These efforts reduced runtime risk, improved maintainability, and aligned with the Spring28 release plan.
December 2024
November 2024
7 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on JeffersonLab/coatjava contributions. Implemented background event merging enhancements, fixed detector order/type handling in ADCTDCMerger, aligned AHDC API naming, and updated release script version. These changes improve physics event modeling accuracy, data processing reliability, and release hygiene.
November 2024
7 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on JeffersonLab/coatjava contributions. Implemented background event merging enhancements, fixed detector order/type handling in ADCTDCMerger, aligned AHDC API naming, and updated release script version. These changes improve physics event modeling accuracy, data processing reliability, and release hygiene.
August 2024
1 Commits
Aug 1, 2024Concise monthly summary for 2024-08 focusing on business value and technical achievements. Implemented a robustness improvement in JeffersonLab/coatjava HTCC clustering: ensure remaining hits are processed even if a cluster fails cuts, preventing loss of valid hits and improving data quality and pipeline reliability. This reduces data loss in cluster-failure scenarios and lowers the need for reprocessing, contributing to more reliable results and operational efficiency.
1 Commits
Aug 1, 2024Concise monthly summary for 2024-08 focusing on business value and technical achievements. Implemented a robustness improvement in JeffersonLab/coatjava HTCC clustering: ensure remaining hits are processed even if a cluster fails cuts, preventing loss of valid hits and improving data quality and pipeline reliability. This reduces data loss in cluster-failure scenarios and lowers the need for reprocessing, contributing to more reliable results and operational efficiency.
August 2024
May 2024
1 Commits
May 1, 2024May 2024 monthly summary focusing on stabilizing and improving detector geometry in JeffersonLab/coatjava to ensure accurate Geant4-based simulations. Delivered a critical fix to G4Trap geometry by correcting z_enlargement and adjusting the superlayer volume thickness to account for a 25-degree tilt, preventing geometry errors in downstream physics analyses.
May 2024
1 Commits
May 1, 2024May 2024 monthly summary focusing on stabilizing and improving detector geometry in JeffersonLab/coatjava to ensure accurate Geant4-based simulations. Delivered a critical fix to G4Trap geometry by correcting z_enlargement and adjusting the superlayer volume thickness to account for a 25-degree tilt, preventing geometry errors in downstream physics analyses.
April 2024
2 Commits • 1 Features
Apr 1, 2024April 2024 monthly summary focusing on key deliverables for Jefferson Lab coatjava project. Implemented critical Geant4-based DC detector geometry enhancements to improve simulation fidelity and volume representation. Specifically, introduced new DC superlayers as Geant4 volumes and refined thickness calculations for the DC superlayer volumes in DCGeant4Factory, addressing geometry accuracy gaps.
2 Commits • 1 Features
Apr 1, 2024April 2024 monthly summary focusing on key deliverables for Jefferson Lab coatjava project. Implemented critical Geant4-based DC detector geometry enhancements to improve simulation fidelity and volume representation. Specifically, introduced new DC superlayers as Geant4 volumes and refined thickness calculations for the DC superlayer volumes in DCGeant4Factory, addressing geometry accuracy gaps.
April 2024
Activity
Loading activity data...
Quality Metrics
Correctness87.4%
Maintainability86.0%
Architecture84.0%
Performance77.2%
AI Usage21.6%
Skills & Technologies
Programming Languages
BashC++GroovyJavaN/APythonShellYAML
Technical Skills
3D modelingAI/Machine LearningAlgorithm DevelopmentBackend DevelopmentBug FixBuild ManagementC++CalibrationCalibration SystemsCode OrganizationCode Ownership ManagementCode RefactoringConfiguration ManagementCoordinate SystemsData Acquisition
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline