
Armin Ilg improved vertex reconstruction geometry for the IDEA Detector in the key4hep/k4geo repository, addressing gaps in the geometry definition that previously affected tracking precision and event reconstruction reliability. By refining the detector’s geometry using Geant4 and C++, Armin enhanced the accuracy of physics event reconstruction and reduced systematic uncertainties. The same geometry updates were applied to the ALLEGRO Vertex, ensuring consistency across detectors. Throughout the process, Armin demonstrated careful geometry modeling and maintained a clean, traceable git history. This work reflects a focused, technically sound approach to detector simulation and cross-repository collaboration within a high-energy physics context.

March 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: 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.
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