slac-lcls/lcls2
Mar 2025 – Oct 2025
4 Months active
Languages Used
Python
Technical Skills
Data AnalysisDetector Interface DevelopmentBackend DevelopmentSystem ConfigurationCommand-line Interface DevelopmentConfiguration Management
gadorlhiac
PROFILE
Gadorlhiac
Gaspard Adorlhiac contributed to the slac-lcls/lcls2 repository by developing and enhancing backend systems for detector data processing and calibration workflows. He implemented Python-based interfaces for the Jungfrau detector, enabling retrieval of hot pixel metrics to support data analysis and calibration. His work included memory management improvements using weak references and registry patterns to address memory leaks, as well as configuration enhancements for scan workflows. Gaspard also delivered tools for data format migration and environment-specific calibration deployment, applying skills in configuration management, data conversion, and embedded systems. His solutions improved reliability, maintainability, and automation across complex detector software pipelines.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
5
Lines of code
311
Activity Months4
Your Network
27 peopleShared Repositories
27
Amanda Jean ShackelfordMember
Amanda Jean ShackelfordMember
Matthew AvaylonMember
Chris FordMember
Ric ClausMember
Christopher OgradyMember
Christopher OgradyMember
Christopher OgradyMember
Christopher OgradyMember
Work History
October 2025
3 Commits • 3 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on delivering robust data processing, calibration deployment, and cross-XPM reliability improvements for slac-lcls/lcls2. The work highlights feature delivery that enables environment-specific calibration constant deployment, data format migration tooling, and generalized timing checks across hardware configurations, contributing to safer deployments, cleaner data pipelines, and reduced operator effort.
3 Commits • 3 Features
Oct 1, 2025Concise monthly summary for 2025-10 focusing on delivering robust data processing, calibration deployment, and cross-XPM reliability improvements for slac-lcls/lcls2. The work highlights feature delivery that enables environment-specific calibration constant deployment, data format migration tooling, and generalized timing checks across hardware configurations, contributing to safer deployments, cleaner data pipelines, and reduced operator effort.
October 2025
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 (slac-lcls/lcls2): Delivered stability improvements and configuration enhancements for pedestal scans in the LCLS2 data processing stack. Implemented memory-leak mitigation for calibration constants and detector instances using weak references and a registry pattern, and added configurable run_type for pedestal scans with a default of DARK. These changes improve memory stability for long-running workflows, data integrity across runs, and provide clearer, more flexible scan configurations. Commit traces include a1bbde1fa43337c7d58eeef2513b10f7eed69982 and 3a1c25675ae73dbacfff42acb952b491d31d6b02 for traceability.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 (slac-lcls/lcls2): Delivered stability improvements and configuration enhancements for pedestal scans in the LCLS2 data processing stack. Implemented memory-leak mitigation for calibration constants and detector instances using weak references and a registry pattern, and added configurable run_type for pedestal scans with a default of DARK. These changes improve memory stability for long-running workflows, data integrity across runs, and provide clearer, more flexible scan configurations. Commit traces include a1bbde1fa43337c7d58eeef2513b10f7eed69982 and 3a1c25675ae73dbacfff42acb952b491d31d6b02 for traceability.
June 2025
1 Commits
Jun 1, 2025June 2025: Reliability fix in slac-lcls/lcls2 to auto-disable recording after a scan completes when recording was requested. Implemented a conditional in config_scan_base to disable recording at scan end, ensuring correct recording state and cleaner data capture. Commit cc8e13ea866b78a8d790e5f3d10b51fa5e5fd4b4. Impact: reduces stale recordings, lowers operator overhead, and improves automation reliability for scan workflows. Technologies demonstrated: Python/config tooling, conditional logic, Git/version control, and targeted debugging in instrument control software.
1 Commits
Jun 1, 2025June 2025: Reliability fix in slac-lcls/lcls2 to auto-disable recording after a scan completes when recording was requested. Implemented a conditional in config_scan_base to disable recording at scan end, ensuring correct recording state and cleaner data capture. Commit cc8e13ea866b78a8d790e5f3d10b51fa5e5fd4b4. Impact: reduces stale recordings, lowers operator overhead, and improves automation reliability for scan workflows. Technologies demonstrated: Python/config tooling, conditional logic, Git/version control, and targeted debugging in instrument control software.
June 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for slac-lcls/lcls2. Key feature delivered: Jungfrau detector interface: add hot pixel count and threshold retrieval (v0.2.0). This enhancement adds methods to retrieve the number of hot pixels and the hot-pixel threshold from detector segments, enabling improved QA, calibration, and data analysis workflows. The change is tracked via a single commit for traceability: b6c984214d1ddd5e9dc9aa0a829d8bb8788a43b2.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for slac-lcls/lcls2. Key feature delivered: Jungfrau detector interface: add hot pixel count and threshold retrieval (v0.2.0). This enhancement adds methods to retrieve the number of hot pixels and the hot-pixel threshold from detector segments, enabling improved QA, calibration, and data analysis workflows. The change is tracked via a single commit for traceability: b6c984214d1ddd5e9dc9aa0a829d8bb8788a43b2.
Activity
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Quality Metrics
Correctness81.4%
Maintainability80.0%
Architecture78.6%
Performance64.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCommand-line Interface DevelopmentConfiguration ManagementData AcquisitionData AnalysisData ConversionData ManagementData StructuresDetector Interface DevelopmentDetector SystemsEmbedded SystemsMemory ManagementObject-Oriented ProgrammingSoftware Design PatternsSoftware Engineering
Repositories Contributed To
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