April 2026 monthly summary focusing on key accomplishments across cctbx/cctbx_project and dials/dials. The work delivered improves user experience, stability, and scientific throughput for XFEL data processing and calibration pipelines. Highlights include robust GUI and environment configuration for XFEL workflows, reliable packaging/install processes, scalable data preparation for SpReAD analyses, refinement workflows for small-molecule XFEL calibration, memory-usage optimizations in stills processing, and CI environment hardening for XFEL regression tests.

March 2026: Delivered performance enhancement for Experiment History Computation in cctbx/dxtbx by removing inspect.stack() in favor of sys._getframe(), eliminating filesystem-dependent delays that caused hangs in large MPI jobs (up to 5 minutes) and improving scalability. The change is implemented in commit c5e03c7ec5fe7e15ec7cf80b8c13f9eae4c81183 and co-authored by Aaron Brewster and David Waterman. Impact: more reliable experiment history tooling on large clusters, reduced runtime variance, and a clearer module hierarchy. Technologies/skills demonstrated: Python optimization, stack frame manipulation, MPI-aware profiling, collaboration and attribution.

February 2026 monthly summary for cctbx_project. Focused on stability in compilation and CI reliability through GCC version handling improvements and XFEL CI/ Rocky Linux environment optimizations. Delivered fixes and enhancements that reduce intermittent build failures, speed up CI solving, and improve cross-OS compatibility. Key results: 1) Made gcc_version comparisons safe when get_gcc_version() returns None, preventing mis-detection crashes and improving cross-compiler stability (commit f1b329ba37c4b2898be628c3c511ef9ba4a746b3; Fixes #1127). 2) Optimized XFEL CI and conda environment by removing gemmi from psana_environment.yml to reduce solving time and adding it separately; introduced a dummy fi_info on Rocky Linux to ensure post-install scripts run reliably (commit 58d99b43b8ab5aa3fde76fbb6a86a5bcf670f45b). 3) Overall impact: fewer build failures, faster CI cycles, improved cross-OS compatibility, and smoother integration of dependent libraries.

2026-01: Delivered multi-detector support in powder_from_spots for cctbx_project, enabling single_detector=False to support heterogeneous detector configurations in powder diffraction workflows. This expands analytical capabilities for multi-detector experiments, reduces manual reconfiguration, and improves data quality. Commit: d0748fbd9a36cc30296a5bf34f3f8642719555cf. Major bugs fixed: none reported this month. Impact: greater flexibility and throughput for powder diffraction analyses; strengthened detector modeling foundations. Technologies/skills demonstrated: Python/C++, detector configuration modeling, version control.

October 2025: Strengthened installation reliability and build efficiency for the dials/dials project by addressing deprecated APIs and CPU detection logic. Fixed installation failures by replacing the deprecated conda.cli.python_api usage with subprocess.run for pre-commit installation, ensuring compatibility with newer Conda versions. Corrected CPU/resource detection by using os.sched_getaffinity to accurately determine available CPUs for parallel builds on Unix-like systems, boosting parallelism and resource utilization. These changes reduced onboarding friction, shortened local/CI build times, and improved packaging stability.

August 2025 performance summary: Across cctbx_project, dials, and dxtbx, delivered cross-platform build reliability, concurrency improvements, and enhanced data handling that together reduce integration friction and enable scalable crystallography workflows. Key outcomes include migration to modern concurrency primitives, targeted build reliability fixes for Windows and non-Conda environments, and robustness improvements in OpenGL-enabled builds and data writing. Highlights by repo: - cctbx_project: Fixed build-time OpenGL dependency by adding mesa-libgl-devel to the PSANA environment; improved cosym module robustness for centered cells via partition handling refactor to extract the rotational component, boosting reindexing accuracy. - dials: Migrated ThreadPool to boost::asio::io_context for Boost >=1.87, with unit tests covering basic usage, concurrency, and exception handling; corrected SCons build linking for non-Conda compilers to ensure reliable cross-environment C++ test builds. - cctbx/dxtbx: Windows build stability improved by enabling /bigobj in non-bootstrap CMake builds; fixed nxmx trusted range handling by storing as a general integer to support larger values, preventing potential overflows. Overall impact: these changes reduce build failures, strengthen cross-platform reliability, and enable handling larger datasets, directly improving developer productivity and user experience. The work demonstrates strong proficiency in C++ build systems, cross-environment compatibility, and data integrity for crystallography workflows.

July 2025 monthly summary for cctbx/cctbx_project. Implemented updated MTZ Google Drive upload setup instructions to reflect changes in storage quotas and the use of Shared Drives; clarified destination folder creation/linking, and updated service account sharing permissions to comply with new Google Drive policies. This work reduces misconfigurations and improves reliability of MTZ file uploads.

May 2025 delivered targeted reliability improvements across core repos, focusing on packaging compatibility and CI hygiene. Key outcomes include a robust fix for Python package metadata discovery under setuptools >= 79, and CI/build-cleanup efforts that revert temporary installation workarounds, along with broader code hygiene improvements to reduce maintenance and improve reproducibility.

April 2025 monthly summary focusing on key accomplishments across the cctbx project, dials, and dxtbx repositories. Delivered significant improvements to data quality, robustness, and developer productivity. Highlights include a shift to median-based peak selection in small cell powder plots, safeguards in postrefinement with delta_corr_limit, enhanced CI control for manual triggering, and packaging metadata discovery alignment with PEP 660.

February 2025 monthly summary for cctbx_project focusing on feature delivery and technical impact. Delivered enhancements to the small_cell powder plotting module, adding multi-range d-spacing filtering, and support for selecting all or any ranges. Introduced new plotting modes 'ratio' and 'simple' to provide more flexible visualization of small_cell powder data. No major bug fixes were recorded this month. Overall, the work improves data exploration and interpretation for crystallography workflows, enabling researchers to tailor visualizations to specific analysis needs and speeding insight generation. Technologies and skills demonstrated include plotting module enhancements, range-based data filtering logic, and disciplined version-control with targeted commits.

January 2025 monthly summary for cctbx_project: Delivered a set of high-impact features and targeted maintenance work across XFEL and cctbx.xfel components, with a strong emphasis on reliability, maintainability, and developer onboarding. Key outcomes include improved MPI reliability for XFEL CI/runtime, clearer build/environment guidance, and a streamlined CI/CD workflow, underpinned by a data-processing API refactor to align with the project’s evolving architecture.