key4hep/k4geo
Mar 2025 – Jun 2026
3 Months active
Languages Used
C++XML
Technical Skills
Detector SimulationGeant4C++detector designgeometry optimizationsimulation
armin.ilg
PROFILE
Armin.ilg
Over three months, contributed to the key4hep/k4geo repository by developing and refining advanced detector geometry features for high-energy physics simulations. Focused on improving vertex reconstruction and silicon wrapper design, the work included updating geometry definitions to close reconstruction holes, enabling flexible inner radii, and optimizing sensor configurations using C++ and XML. Enhanced geometry construction supported multiple layers sharing layer IDs, with unique module identification and logging for traceability. Applied detector simulation and geometry modeling skills to streamline configuration, align cross-detector XML, and improve downstream data quality, resulting in more reliable event reconstruction and maintainable, adaptable detector designs for physics studies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
4,135
Activity Months3
Your Network
372 peopleSame Organization
@cern.ch347
Shared Repositories
25
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 highlights for key4hep/k4geo: Delivered a core feature to support multiple layers sharing the same layer ID in the vertex barrel, with geometry construction updated to use unique module IDs across layers, and tuned the ultra-light vertex barrel by adjusting the sensitive thickness to 12 µm and scaling the pitch to yield an integer number of pixels. Added instrumentation to log layer ID reuse to improve traceability in downstream readout and bib-studies. Strengthened layer ID handling in the vertex and silicon wrappers to reduce downstream failures and improve consistency across the pipeline. These changes improve data quality, simplify downstream readout mapping, and enhance reproducibility for physics studies.
1 Commits • 1 Features
Jun 1, 2026June 2026 highlights for key4hep/k4geo: Delivered a core feature to support multiple layers sharing the same layer ID in the vertex barrel, with geometry construction updated to use unique module IDs across layers, and tuned the ultra-light vertex barrel by adjusting the sensitive thickness to 12 µm and scaling the pitch to yield an integer number of pixels. Added instrumentation to log layer ID reuse to improve traceability in downstream readout and bib-studies. Strengthened layer ID handling in the vertex and silicon wrappers to reduce downstream failures and improve consistency across the pipeline. These changes improve data quality, simplify downstream readout mapping, and enhance reproducibility for physics studies.
June 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for key4hep/k4geo: Delivered major Vertex Detector and Silicon Wrapper enhancements with improved geometry handling, flexible inner vertex radius, and optimized sensor configurations. Fixed critical surface visibility and identification issues (GlobalTrackerReadoutID), enabling reliable reconstruction. Expanded Silicon Wrapper with additional layers and greater module coverage to maximize detector efficiency and reduce dead zones. Streamlined geometry configuration by modularizing sensor definitions and aligning XML across FCCee/IDEA/ALLEGRO, reducing maintenance burden. Demonstrated impact through improved test stability and forward-region tracking readiness, with code quality improvements (clang-format) and cross-repo collaboration. Technologies: DD4hep, Trd1 surface integration, advanced geometry modeling, and readout ID management.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for key4hep/k4geo: Delivered major Vertex Detector and Silicon Wrapper enhancements with improved geometry handling, flexible inner vertex radius, and optimized sensor configurations. Fixed critical surface visibility and identification issues (GlobalTrackerReadoutID), enabling reliable reconstruction. Expanded Silicon Wrapper with additional layers and greater module coverage to maximize detector efficiency and reduce dead zones. Streamlined geometry configuration by modularizing sensor definitions and aligning XML across FCCee/IDEA/ALLEGRO, reducing maintenance burden. Demonstrated impact through improved test stability and forward-region tracking readiness, with code quality improvements (clang-format) and cross-repo collaboration. Technologies: DD4hep, Trd1 surface integration, advanced geometry modeling, and readout ID management.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Vertex Reconstruction Geometry Improvement for IDEA Detector implemented; geometry definition changes closed holes in vertex reconstruction, improving tracking precision and event reconstruction reliability. Applied the same changes to ALLEGRO Vertex to ensure cross-detector consistency. This work enhances physics event reconstruction, reduces potential systematic uncertainties, and strengthens detector calibration. Demonstrated skills in geometry modeling, cross-repo collaboration, and maintaining a clean git history with traceable commits. Key commits documented in the work: 9e67988f0af2bc92ba5ba0dbd5fb583a9c5975c7; a76cfa6530092b65b1a4d65c53abe36403ef3d19.
2 Commits • 1 Features
Mar 1, 2025March 2025: Vertex Reconstruction Geometry Improvement for IDEA Detector implemented; geometry definition changes closed holes in vertex reconstruction, improving tracking precision and event reconstruction reliability. Applied the same changes to ALLEGRO Vertex to ensure cross-detector consistency. This work enhances physics event reconstruction, reduces potential systematic uncertainties, and strengthens detector calibration. Demonstrated skills in geometry modeling, cross-repo collaboration, and maintaining a clean git history with traceable commits. Key commits documented in the work: 9e67988f0af2bc92ba5ba0dbd5fb583a9c5975c7; a76cfa6530092b65b1a4d65c53abe36403ef3d19.
March 2025
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Quality Metrics
Correctness75.0%
Maintainability75.0%
Architecture70.0%
Performance70.0%
AI Usage35.0%
Skills & Technologies
Programming Languages
C++XML
Technical Skills
C++Detector SimulationGeant4Geometry Modelingdetector designgeometry optimizationsimulation
Repositories Contributed To
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