October 2025 performance summary for eIC developer work across two repositories. The month focused on delivering automated retraining-enabled benchmarks for Low-Q2 ONNX models, stabilizing artifact handling in CI/CD, and tightening physics simulations. These efforts collectively reduced cycle times, improved benchmark reproducibility, and increased confidence in model retraining outcomes while fixing critical simulation accuracy issues.

In Sep 2025, two high-impact changes were delivered in the eic/EICrecon repository, enhancing data quality and streamlining the reconstruction workflow. The team fixed a PID lookup bounds bug to ensure eta values stay within defined theta/polar bin bounds, preventing incorrect ParticleID assignments in the far-backward RichEndcapN region. We also modernized the particle reconstruction pipeline by adopting an ONNX-based workflow, integrating low-q2 reconstructed particles later in the process to simplify intermediate collections and improve particle resolution.

August 2025 monthly summary focusing on key accomplishments, business impact, and technical excellence across the epic and EICrecon repositories.

July 2025 monthly summary for eic/EICrecon focusing on key accomplishments, business value, and technical progress.

June 2025 monthly summary: Focused on delivering maintainable core refactors in eic/EICrecon, improving detector constants handling, stabilizing CI for 10x100 beam configuration, and introducing a CI-integrated electron beamline benchmarking suite in eic/detector_benchmarks. These efforts deliver clearer data flow, consistent geometry constants, reliable CI results, and measurable performance benchmarks across two repositories.

May 2025 performance summary: focus on configurability, robustness, and performance across EIC reconstruction and tracking workflows. Delivered optional input handling in CollectionCollector, introduced Low-Q2 Tagger charge sharing with a refactored dd4hep path, and achieved a notable performance optimization in TrackerMeasurementFromHits. A cross-repo bug fix in eic/epic centralized beampipe definitions to restore vacuum and accurate tracking. Business value: more robust reconstruction under varying detector configurations, faster processing, and higher data quality for downstream digitization and physics analysis.

This month (2025-04) focused on advancing end-to-end reconstruction fidelity in eic/EICrecon by delivering enhanced pulse modeling, restoring a critical reconstruction path for TaggerTrackerRecHits, and enabling robust low-Q2 track-to-reconstructed particle associations. These efforts improve simulation-to-reconstruction accuracy, enable MC-to-reco traceability, and establish a stronger foundation for precise physics analyses in low-Q2 regimes.

March 2025 monthly summary: Delivered targeted geometry fixes and clustering enhancements across two repositories, improving reliability, data quality, and analysis readiness. Key outcomes include: (1) Beamline geometry alignment fixes in eic/epic to ensure continuous vacuum and correct Q3eR field alignment (commits 6a027c17, d5dc1184); (2) FarDetector clustering enhancements in eic/EICrecon by migrating to edm4eic::Measurement2D and applying energy weighting to cluster relations, improving clustering accuracy (commits a0bb2e97, 25be8bf8); (3) FarDetectorMLReconstruction bug fix initializing time and timeError to 0 for reproducible timing (commit 50210f62); (4) Overall cross-repo maintenance and traceability improvements. Impact: more reliable detector geometry, higher-quality clustering for downstream analyses, and consistent timing in reconstruction, enabling stronger physics results. Technologies/skills demonstrated: migration to edm4eic::Measurement2D, energy-weighted clustering, explicit initialization to prevent uninitialized data, and cross-repo collaboration.

February 2025: EICrecon performance update focused on PID accuracy. Fixed Proton PDG assignment bug in the PID Lookup Table caused by a double-check of electron probability that inadvertently excluded proton probability. The fix ensures particles with 100% proton probability are correctly assigned a proton PDG value, improving downstream physics analyses and event categorization. Change linked to commit 2963f9bf756bff75ac7a2f842d39a9e6198aeea9 ("Correct PID LUT for protons (#1740)"). Technologies/skills demonstrated include debugging PID logic, regression testing, git-based collaboration, code review, and validation of edge cases in PID calculations.

Month: 2025-01 — Summary of key deliveries focused on business value and technical excellence across the EIC recon stack. The team delivered ML-driven reconstruction capabilities via ONNX, improved data-processing resilience, and prepared for scalable model deployment, driving throughput and model-based accuracy improvements.

December 2024 monthly summary focused on delivering scalable data ingestion improvements for eicrecon, with a concrete feature enabling remote file access via xrootd. The work aligns with business goals of expanding data accessibility, reducing manual steps, and enabling reproducible pipelines across compute environments.

Month 2024-11: Delivered a critical BTOF hits naming consistency fix in the EICrecon pipeline. Standardized BTOF hit naming from singular 'Hit' to plural 'Hits' across reconstruction, raw data, and event processing to ensure data integrity and seamless tracking integration. The patch reduces data misalignment, minimizes downstream debugging, and supports future naming standardization across modules. Commit f43757583c66f4f97213c39bccbd484cd5a85f82 ('Fix naming of BTOF hits (#1660)') demonstrates disciplined version control and traceability.