
Over two months, Yoachim developed and enhanced configuration-driven survey planning features in the lsst-ts/ts_config_ocs repository, focusing on reproducible and efficient astronomical observing runs. He introduced YAML-based configuration files to define observation scheduling parameters, including exposure times, band selection, camera rotation, and environmental telemetry integration. Using Python and YAML, Yoachim enabled granular control over scheduler behavior and improved test automation by addressing configuration drift and clarifying naming conventions. His work strengthened configuration management, streamlined onboarding for new team members, and ensured more reliable, traceable data collection. The depth of these changes improved both operational efficiency and the reproducibility of AOS testing.

Concise monthly summary for 2025-06 focused on the lsst-ts/ts_config_ocs repository. Delivered YAML-driven configuration and scheduling enhancements, fixed test-related drift, and strengthened configuration management to enable faster, more reliable observing runs with clearer traceability and telemetry integration.
Concise monthly summary for 2025-06 focused on the lsst-ts/ts_config_ocs repository. Delivered YAML-driven configuration and scheduling enhancements, fixed test-related drift, and strengthened configuration management to enable faster, more reliable observing runs with clearer traceability and telemetry integration.
May 2025: Focused on delivering a configuration-driven Regular surveys setup for AOS testing in lsst-ts/ts_config_ocs, establishing reproducible survey planning and execution parameters.
May 2025: Focused on delivering a configuration-driven Regular surveys setup for AOS testing in lsst-ts/ts_config_ocs, establishing reproducible survey planning and execution parameters.
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