
Frederic Poitevin developed and enhanced experimental automation and data acquisition workflows in the pcdshub/mfx repository, focusing on robust beam alignment, detector simulation, and cross-facility configuration. He implemented geometry-aware run automation, unified startup logic, and ported calibration scripts to support both psana1 and psana2 environments, improving maintainability and deployment flexibility. Using Python, Bash, and EPICS, Frederic refactored modules for better testability, introduced error handling and validation for energy inputs, and optimized undulator pointing with advanced algorithms. His work addressed both feature development and bug fixes, demonstrating depth in backend development, scientific computing, and system integration for reliable experimental operations.

In 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.
In 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.
Month 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.
Month 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.
In 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.
In 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.
2025-05 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.
2025-05 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 (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 (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.
February 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 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 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 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.
November 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 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.
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