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Barak Schmookler

PROFILE

Barak Schmookler

Over seven months, Ben Schmookler contributed to the eic/EICrecon, eic/detector_benchmarks, and eic/epic repositories, developing features and resolving bugs in high energy physics simulation and reconstruction workflows. He implemented detector benchmarking pipelines and enhanced track reconstruction reliability by refining configuration parameters and enforcing stricter measurement criteria. Using C++, XML, and ROOT analysis, Ben addressed data-type consistency in EDM4hep, improved energy calculations for reconstructed particles, and updated material maps to support geometry changes. His work emphasized accuracy, maintainability, and collaboration, with thorough documentation and test-driven development practices that improved onboarding, traceability, and the robustness of scientific computing pipelines.

Overall Statistics

Feature vs Bugs

56%Features

Repository Contributions

10Total
Bugs
4
Commits
10
Features
5
Lines of code
1,374
Activity Months7

Work History

April 2026

1 Commits • 1 Features

Apr 1, 2026

April 2026 monthly summary: Focused on reliability improvements in the track reconstruction pipeline. Implemented a strict minimum track measurement requirement across CKF, Ambiguity Solver, and Iterative Vertex Finder/Fitter, enhancing reconstruction consistency and accuracy in challenging backgrounds. The change also cleaned up test artifacts and aligned default behavior to require the new criterion.

March 2026

2 Commits • 1 Features

Mar 1, 2026

March 2026: Implemented material map and geometry updates in the eic/epic repo to enable tracking performance validation with the updated Au coating thickness. Key outcomes include a new Acts material map for the 10μm coating and an updated material map URL that reflects SVT and MPGD geometry, enabling performance checks with the updated configuration. Changes are backward compatible and accompanied by cross-team communication with the Tracking WG to plan validation activities and ensure alignment with related work.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025: Focused on accuracy, traceability, and collaboration in eic/EICrecon. Implemented a critical energy-consistency bug fix for ReconstructedChargedParticles and expanded track reconstruction documentation with detailed workflow diagrams. These changes improve reconstruction accuracy for charged particles and shorten onboarding for collaborators, while enhancing visibility of changes and intent.

June 2025

1 Commits

Jun 1, 2025

June 2025 monthly work summary for eic/detector_benchmarks focusing on data-type consistency improvements in EDM4hep to strengthen benchmarking accuracy and reduce numerical discrepancies across performance tests.

May 2025

1 Commits

May 1, 2025

May 2025: Focused on improving track propagation accuracy in eic/EICrecon by aligning initial state estimation with the outermost measurement surface, reducing propagation errors and stabilizing downstream tracking results.

April 2025

1 Commits

Apr 1, 2025

In April 2025, addressed a performance regression in MPDG digitization by reverting to pixel-style readout, restoring tracking efficiency and stability in eic/EICrecon. The change preserves default behavior aligned with proven performance while evaluating the 2D readout for future deployment.

November 2024

2 Commits • 2 Features

Nov 1, 2024

Monthly summary for 2024-11: Delivered two high-value features across detector benchmarking and reconstruction tuning. Implemented ZDC Neutron Event Benchmark to enable end-to-end benchmarking of neutron detection and reconstruction in the ZDC, with config files, simulation scripts, and analysis tools. Added Seed Finder deltaPhiMax parameter to control maximum allowed phi difference between space points, enabling tuning of seeding efficiency at low momentum, with accompanying tests and default behavior preserved. No major bugs fixed this month. Overall impact: provides actionable instrumentation for performance evaluation and tunable reconstruction, supporting data-driven optimization and smoother integration with EICrecon workflows. Technologies demonstrated include Python-based benchmarking tooling, configuration management, test-driven development, and cross-repo collaboration.

Activity

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Quality Metrics

Correctness94.0%
Maintainability88.0%
Architecture89.0%
Performance84.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++MarkdownShellXMLYAML

Technical Skills

Algorithm DevelopmentBug FixC++C++ DevelopmentC++ programmingConfiguration ManagementData AnalysisDetector BenchmarkingDetector SimulationDocumentationGeant SimulationHepMCHigh Energy Physics SimulationParticle PhysicsPerformance Benchmarking

Repositories Contributed To

3 repos

Overview of all repositories you've contributed to across your timeline

eic/EICrecon

Nov 2024 Apr 2026
5 Months active

Languages Used

C++Markdown

Technical Skills

C++Physics SimulationSoftware ConfigurationDetector SimulationParticle PhysicsSoftware Engineering

eic/detector_benchmarks

Nov 2024 Jun 2025
2 Months active

Languages Used

C++ShellYAML

Technical Skills

C++Detector BenchmarkingGeant SimulationHepMCHigh Energy Physics SimulationROOT Analysis

eic/epic

Mar 2026 Mar 2026
1 Month active

Languages Used

XML

Technical Skills

Configuration ManagementXMLdata analysisscientific computing