pcdshub/mfx
Nov 2024 – Mar 2026
12 Months active
Languages Used
BashPythonShellYAMLGitNone
Technical Skills
Code CleanupConfiguration ManagementDebuggingPython ScriptingRefactoringRemote Access
fredericpoitevin
PROFILE
Fredericpoitevin
Over twelve months, Frederic Poitevin engineered robust experimental automation and data acquisition workflows in the pcdshub/mfx repository, focusing on beamline control, detector simulation, and optimization routines. He applied Python and Bash to refactor startup logic, enhance configuration management, and streamline cross-facility deployments. Frederic introduced geometry-aware run automation, flexible lens array selection, and advanced focus-tracking with visualization, improving reproducibility and operational safety. His work included porting calibration scripts for compatibility across psana versions and stabilizing CI/CD pipelines using Jekyll and GitHub Pages. The depth of his contributions is reflected in maintainable code, reduced deployment friction, and improved experimental reliability.
Overall Statistics
Feature vs Bugs
47%Features
Repository Contributions
136Total
Bugs
35
Commits
136
Features
31
Lines of code
83,422
Activity Months12
Your Network
21 peopleShared Repositories
21
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Daniel RosenbergMember
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James Michael BaxterMember
jtbabiczMember
Jakub WlodekMember
Work History
March 2026
10 Commits
Mar 1, 2026March 2026 – Key CI/CD reliability and deployment hygiene enhancements for pcdshub/mfx. Delivered stable Jekyll builds in CI by excluding problematic directories, enabling Jekyll safe mode, and restoring reliable CI resolution. Cleaned up submodule references and restored submodules with correct URLs, removing stale refs to prevent deployment issues. Also removed an unnecessary workflow test file to prevent accidental deployments. These changes reduce build failures due to symlinks, improve reproducibility, and lower maintenance overhead.
10 Commits
Mar 1, 2026March 2026 – Key CI/CD reliability and deployment hygiene enhancements for pcdshub/mfx. Delivered stable Jekyll builds in CI by excluding problematic directories, enabling Jekyll safe mode, and restoring reliable CI resolution. Cleaned up submodule references and restored submodules with correct URLs, removing stale refs to prevent deployment issues. Also removed an unnecessary workflow test file to prevent accidental deployments. These changes reduce build failures due to symlinks, improve reproducibility, and lower maintenance overhead.
March 2026
December 2025
1 Commits • 1 Features
Dec 1, 20252025-12 Monthly performance summary for pcdshub/mfx: Implemented Flexible Lens Array Combination Rules to enhance configurability of lens-array selection. The change updates find_best_combo to not avoid forbidden combinations unless explicitly requested, enabling targeted scenarios while preserving safety. There were no documented major bugs fixed this month. Overall impact includes faster, more flexible configuration for complex deployments and clearer intent in configuration decisions. Technologies demonstrated include Python algorithm adjustments, git-based collaboration with a clear commit message, and risk-aware feature design.
December 2025
1 Commits • 1 Features
Dec 1, 20252025-12 Monthly performance summary for pcdshub/mfx: Implemented Flexible Lens Array Combination Rules to enhance configurability of lens-array selection. The change updates find_best_combo to not avoid forbidden combinations unless explicitly requested, enabling targeted scenarios while preserving safety. There were no documented major bugs fixed this month. Overall impact includes faster, more flexible configuration for complex deployments and clearer intent in configuration decisions. Technologies demonstrated include Python algorithm adjustments, git-based collaboration with a clear commit message, and risk-aware feature design.
November 2025
30 Commits • 6 Features
Nov 1, 2025November 2025 (pcdshub/mfx) focused on strengthening focus-tracking workflows, improving robustness of scanning routines, and enhancing observability through logging and visualization. The month delivered new visualization and tracking capabilities, safer energy and lens handling checks, and a more reliable data pipeline for traceability and performance reviews. The work reduces debugging time, increases experiment throughput, and improves alignment accuracy for startup-to-production-like workflows.
30 Commits • 6 Features
Nov 1, 2025November 2025 (pcdshub/mfx) focused on strengthening focus-tracking workflows, improving robustness of scanning routines, and enhancing observability through logging and visualization. The month delivered new visualization and tracking capabilities, safer energy and lens handling checks, and a more reliable data pipeline for traceability and performance reviews. The work reduces debugging time, increases experiment throughput, and improves alignment accuracy for startup-to-production-like workflows.
November 2025
October 2025
30 Commits • 10 Features
Oct 1, 2025October 2025 (pcdshub/mfx) focused on reliability, performance, and maintainability of exafs and track_focus workflows. Delivered encapsulation improvements and new focus-tracking controls, along with stability fixes that reduce runtime failures and improve multi-user usability. Key outcomes include relocating the exafs energy range builder inside exafs.py and fixing its import path, introducing map_focus_track and focus_track controls for long_escan, and enabling combo-only and lens-disabling options, plus measurable performance improvements in loading and launch times. Notable fixes address keyboard interrupt handling, multi-user home path resolution, and high-energy track_focus stability, with improvements to Vernier energy handling and multiple small quality fixes. These changes collectively improve reliability, reproducibility, and scalability of exafs scans, reducing downtime and enabling faster, more predictable experiments.
October 2025
30 Commits • 10 Features
Oct 1, 2025October 2025 (pcdshub/mfx) focused on reliability, performance, and maintainability of exafs and track_focus workflows. Delivered encapsulation improvements and new focus-tracking controls, along with stability fixes that reduce runtime failures and improve multi-user usability. Key outcomes include relocating the exafs energy range builder inside exafs.py and fixing its import path, introducing map_focus_track and focus_track controls for long_escan, and enabling combo-only and lens-disabling options, plus measurable performance improvements in loading and launch times. Notable fixes address keyboard interrupt handling, multi-user home path resolution, and high-energy track_focus stability, with improvements to Vernier energy handling and multiple small quality fixes. These changes collectively improve reliability, reproducibility, and scalability of exafs scans, reducing downtime and enabling faster, more predictable experiments.
September 2025
2 Commits • 1 Features
Sep 1, 2025In September 2025, the pcdshub/mfx repo delivered targeted improvements aimed at stabilizing optimization workflows and enhancing energy-measurement precision. Key changes focused on preserving critical constraints during optimization and introducing a new Vernier realignment approach on DCCM via energy-scans. These efforts reduce variability in optimization results, set a stronger foundation for production reliability, and enable more deterministic behavior in future iterations.
2 Commits • 1 Features
Sep 1, 2025In September 2025, the pcdshub/mfx repo delivered targeted improvements aimed at stabilizing optimization workflows and enhancing energy-measurement precision. Key changes focused on preserving critical constraints during optimization and introducing a new Vernier realignment approach on DCCM via energy-scans. These efforts reduce variability in optimization results, set a stronger foundation for production reliability, and enable more deterministic behavior in future iterations.
September 2025
July 2025
5 Commits • 1 Features
Jul 1, 2025Month 2025-07: Implemented geometry-aware run automation in pcdshub/mfx, delivering a dedicated geomrun wrapper, an added run_type parameter to autorun, and standardized run-type identification (GEOM vs tag) to enable geometry-specific runs with consistent behavior across autorun configurations. Also enforced deterministic geomrun behavior by forcing tag and sample, and fixed a documentation typo in yano class docstring. These changes improve automation reliability, reproducibility of geometry-based runs, and documentation accuracy, delivering clear business value in automated workflows and developer productivity.
July 2025
5 Commits • 1 Features
Jul 1, 2025Month 2025-07: Implemented geometry-aware run automation in pcdshub/mfx, delivering a dedicated geomrun wrapper, an added run_type parameter to autorun, and standardized run-type identification (GEOM vs tag) to enable geometry-specific runs with consistent behavior across autorun configurations. Also enforced deterministic geomrun behavior by forcing tag and sample, and fixed a documentation typo in yano class docstring. These changes improve automation reliability, reproducibility of geometry-based runs, and documentation accuracy, delivering clear business value in automated workflows and developer productivity.
June 2025
7 Commits • 1 Features
Jun 1, 2025In June 2025, delivered cross-version readiness for detector data workflows by porting the Fee Calibration Script (fee_calib) to psana2 in the pcdshub/mfx repository. This work updates DataSource usage, keyword arguments, and error handling to support both psana1 and psana2 data sources, enabling seamless retrieval and processing across environments and laying groundwork for future pipeline maintenance and deployment. Impact: Improves reliability and maintainability of detector data calibration, reducing friction for data pipeline upgrades and future deployments. The work enables teams to run fee_calib in updated environments without rewriting downstream steps, accelerating validation and deployment cycles.
7 Commits • 1 Features
Jun 1, 2025In June 2025, delivered cross-version readiness for detector data workflows by porting the Fee Calibration Script (fee_calib) to psana2 in the pcdshub/mfx repository. This work updates DataSource usage, keyword arguments, and error handling to support both psana1 and psana2 data sources, enabling seamless retrieval and processing across environments and laying groundwork for future pipeline maintenance and deployment. Impact: Improves reliability and maintainability of detector data calibration, reducing friction for data pipeline upgrades and future deployments. The work enables teams to run fee_calib in updated environments without rewriting downstream steps, accelerating validation and deployment cycles.
June 2025
May 2025
9 Commits • 2 Features
May 1, 20252025-05 monthly work summary for pcdshub/mfx: Delivered targeted improvements to laser timing and event handling, tightened energy input validation, corrected beamline laser motor configuration, hardened startup for Undulator and Beam modules, and enhanced undulator pointing optimization with a move to UpperConfidenceBoundGenerator. Also addressed S3DF masking and cctbx path fixes to stabilize builds across facilities. Business value is improved timing accuracy and data quality, safer configuration handling, more reliable startup, and consistent cross-facility build processes.
May 2025
9 Commits • 2 Features
May 1, 20252025-05 monthly work summary for pcdshub/mfx: Delivered targeted improvements to laser timing and event handling, tightened energy input validation, corrected beamline laser motor configuration, hardened startup for Undulator and Beam modules, and enhanced undulator pointing optimization with a move to UpperConfidenceBoundGenerator. Also addressed S3DF masking and cctbx path fixes to stabilize builds across facilities. Business value is improved timing accuracy and data quality, safer configuration handling, more reliable startup, and consistent cross-facility build processes.
April 2025
18 Commits • 3 Features
Apr 1, 2025April 2025 (pcdshub/mfx): Delivered robust beam and crystal scanning enhancements, stabilized detector simulations, and improved project scaffolding and plotting defaults. These efforts translate into clearer data capture, reduced misconfiguration risk, and a stronger maintainability foundation for upcoming features and experiments.
18 Commits • 3 Features
Apr 1, 2025April 2025 (pcdshub/mfx): Delivered robust beam and crystal scanning enhancements, stabilized detector simulations, and improved project scaffolding and plotting defaults. These efforts translate into clearer data capture, reduced misconfiguration risk, and a stronger maintainability foundation for upcoming features and experiments.
April 2025
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for pcdshub/mfx focusing on business value and technical achievements. Delivered robust beam alignment enhancements and detector support, with a clear impact on operation efficiency and testing workflows.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for pcdshub/mfx focusing on business value and technical achievements. Delivered robust beam alignment enhancements and detector support, with a clear impact on operation efficiency and testing workflows.
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for pcdshub/mfx focused on delivering practical enhancements to experimental workflows and data capture capabilities. Two major features were shipped, with initial validation and integration work to enable scalable use in real experiments. The work emphasizes business value through time savings, reduced setup errors, and richer data for analysis.
6 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for pcdshub/mfx focused on delivering practical enhancements to experimental workflows and data capture capabilities. Two major features were shipped, with initial validation and integration work to enable scalable use in real experiments. The work emphasizes business value through time savings, reduced setup errors, and richer data for analysis.
January 2025
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for pcdshub/mfx: Delivered cross-facility readiness and maintainability improvements for the MFX workflow by standardizing startup and configuration across multiple facilities, enabling faster deployments and easier troubleshooting. Implemented a unified startup path for the cctbx environment, consolidated startup scripts, and integrated facility-specific MFX configuration to ensure reliable operation at S3DF, NERSC, and Perlmutter environments. Added robust debug/verbose execution mode to support development and issue diagnosis, and completed targeted maintenance cleanup to simplify PHIL handling and remove legacy scripts.
November 2024
14 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for pcdshub/mfx: Delivered cross-facility readiness and maintainability improvements for the MFX workflow by standardizing startup and configuration across multiple facilities, enabling faster deployments and easier troubleshooting. Implemented a unified startup path for the cctbx environment, consolidated startup scripts, and integrated facility-specific MFX configuration to ensure reliable operation at S3DF, NERSC, and Perlmutter environments. Added robust debug/verbose execution mode to support development and issue diagnosis, and completed targeted maintenance cleanup to simplify PHIL handling and remove legacy scripts.
Activity
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Quality Metrics
Correctness85.4%
Maintainability86.0%
Architecture83.0%
Performance78.8%
AI Usage22.4%
Skills & Technologies
Programming Languages
BashGitNonePythonShellYAML
Technical Skills
Algorithm DesignAlgorithm optimizationBackend DevelopmentBeam AlignmentBeamline ControlBlueskyBug FixBug FixingCode CleanupCode OrganizationCode PortingCode RefactoringCode refactoringConfiguration ManagementConfiguration management
Repositories Contributed To
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