DUNE/2x2_sim
Dec 2024 – Dec 2024
1 Month active
Languages Used
BashC++PythonShell
Technical Skills
Build System ConfigurationConfiguration ManagementData ProcessingPython ScriptingScientific ComputingShell Scripting
John Back
PROFILE
John Back
J.J. Back integrated Pandora LArRecoND into the DUNE/2x2_sim reconstruction and analysis workflow, enabling end-to-end processing of LArRecoND data within the pipeline. This work involved developing installation and execution scripts using Bash and Python, as well as managing configuration and version compatibility to ensure stable operation. By updating version tags and pinning dependencies, J.J. Back addressed compatibility issues and improved reproducibility. The integration streamlined data processing and reduced maintenance overhead, demonstrating effective use of build system configuration and scientific computing skills. The depth of work reflects careful attention to automation, workflow reliability, and sustainable dependency management practices.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
213
Activity Months1
Your Network
15 peopleShared Repositories
5
Work History
December 2024
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for DUNE/2x2_sim: Delivered Pandora LArRecoND integration into the reconstruction/analysis workflow, including installation and execution scripts and CAFs, enabling end-to-end processing of LArRecoND data within the pipeline. Commits: c71709167f9efbd44fa60e378842eddfe1d8badb (Add Pandora LArRecoND scripts: install, run & CAFs) and cac909f970e8f88746baa2bf0211d7045298f87e (Update Pandora LArRecoND tag to v01-01-01). Addressed version compatibility by updating LArRecoND tag to v01-01-02 to fix the H5 script and pinned the setup script to a stable release to prevent version drift (commit 0c6285864a85ed3396724a152400fd35e050321a). These changes enable end-to-end processing of LArRecoND data in the reconstruction/analysis pipeline with higher reliability and reproducibility. Technologies demonstrated include Bash/Python scripting for install/run scripts, version tagging, and workflow integration, with an emphasis on stable dependency management and automation to deliver business value through reduced maintenance and faster onboarding.
3 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for DUNE/2x2_sim: Delivered Pandora LArRecoND integration into the reconstruction/analysis workflow, including installation and execution scripts and CAFs, enabling end-to-end processing of LArRecoND data within the pipeline. Commits: c71709167f9efbd44fa60e378842eddfe1d8badb (Add Pandora LArRecoND scripts: install, run & CAFs) and cac909f970e8f88746baa2bf0211d7045298f87e (Update Pandora LArRecoND tag to v01-01-01). Addressed version compatibility by updating LArRecoND tag to v01-01-02 to fix the H5 script and pinned the setup script to a stable release to prevent version drift (commit 0c6285864a85ed3396724a152400fd35e050321a). These changes enable end-to-end processing of LArRecoND data in the reconstruction/analysis pipeline with higher reliability and reproducibility. Technologies demonstrated include Bash/Python scripting for install/run scripts, version tagging, and workflow integration, with an emphasis on stable dependency management and automation to deliver business value through reduced maintenance and faster onboarding.
December 2024
Activity
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Quality Metrics
Correctness96.6%
Maintainability93.4%
Architecture96.6%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++PythonShell
Technical Skills
Build System ConfigurationConfiguration ManagementData ProcessingPython ScriptingScientific ComputingShell Scripting
Repositories Contributed To
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