
David Sanmartin developed and maintained automation, scheduling, and observatory control systems across multiple LSST repositories, including ts_observatory_control and ts_config_ocs. He engineered robust backend features such as dynamic scheduler configuration, on-sky readiness orchestration, and dome control safety enhancements, leveraging Python, YAML, and asynchronous programming. His work included integrating API changes, refining test automation, and improving error handling to ensure reliable telescope operations. By focusing on configuration-driven design and comprehensive testing, David enabled flexible deployments and reduced operational downtime. His contributions demonstrated depth in system integration, maintainability, and documentation, resulting in more dependable and scalable observatory software infrastructure.

October 2025: Delivered a feature enhancement for MTCS azimuth control in the lsst-ts/ts_observatory_control repository. Implemented an azEnabled parameter for MTCS All and Slew usages within the MTDome to ensure azimuth-enabled state influences operations, improving control accuracy and safety. The change is associated with commit 71aefd8781e2d84b9e02d8811b8d5aeb93a2ad52, reflecting the code modification in mtcs.py to add azEnabled to All and Slew usages.
October 2025: Delivered a feature enhancement for MTCS azimuth control in the lsst-ts/ts_observatory_control repository. Implemented an azEnabled parameter for MTCS All and Slew usages within the MTDome to ensure azimuth-enabled state influences operations, improving control accuracy and safety. The change is associated with commit 71aefd8781e2d84b9e02d8811b8d5aeb93a2ad52, reflecting the code modification in mtcs.py to add azEnabled to All and Slew usages.
September 2025: Delivered enhancements across three repositories to increase reliability, test coverage, and configurability, driving operational robustness and faster issue resolution. Key outputs include expanded testing, configurable controls, and documented release changes across ts_observatory_control, ts_externalscripts, and ts_config_ocs.
September 2025: Delivered enhancements across three repositories to increase reliability, test coverage, and configurability, driving operational robustness and faster issue resolution. Key outputs include expanded testing, configurable controls, and documented release changes across ts_observatory_control, ts_externalscripts, and ts_config_ocs.
Monthly performance summary for 2025-08 highlighting key features delivered, major bugs fixed, and overall business impact across two LSST TS repositories. The work focused on stabilizing test execution and enhancing scheduling reliability to reduce flaky behavior and improve operational dependability.
Monthly performance summary for 2025-08 highlighting key features delivered, major bugs fixed, and overall business impact across two LSST TS repositories. The work focused on stabilizing test execution and enhancing scheduling reliability to reduce flaky behavior and improve operational dependability.
2025-07 monthly summary for lsst-ts/ts_config_ocs. Delivered configuration enablement for the MTScheduler BLOCK-T556 feature by adding new config files and updates to support the BLOCK-T556 workflow. No major bugs fixed this month; primary focus was feature enablement and configuration management to accelerate testing and deployment. This work enhances deployment readiness, consistency across environments, and maintainability by consolidating BLOCK-T556 configuration changes within the ts_config_ocs repository.
2025-07 monthly summary for lsst-ts/ts_config_ocs. Delivered configuration enablement for the MTScheduler BLOCK-T556 feature by adding new config files and updates to support the BLOCK-T556 workflow. No major bugs fixed this month; primary focus was feature enablement and configuration management to accelerate testing and deployment. This work enhances deployment readiness, consistency across environments, and maintainability by consolidating BLOCK-T556 configuration changes within the ts_config_ocs repository.
June 2025 monthly delivery summary for lsst-ts developer teams. Focused on end-to-end on-sky readiness and safe dome-following operations, plus governance-ready tooling for nightly preparation. Delivered robust orchestration, safety guards, testing coverage, and executable tooling with accompanying documentation. Result: safer, more reliable night operations, improved testability, and clearer business value from nightly readiness workflows.
June 2025 monthly delivery summary for lsst-ts developer teams. Focused on end-to-end on-sky readiness and safe dome-following operations, plus governance-ready tooling for nightly preparation. Delivered robust orchestration, safety guards, testing coverage, and executable tooling with accompanying documentation. Result: safer, more reliable night operations, improved testability, and clearer business value from nightly readiness workflows.
May 2025 monthly summary focusing on delivering stable features, reliability improvements, and operational readiness across four repositories. The work emphasized business value, test reliability, and scalable configuration to support faster incident response and smoother nightly operations.
May 2025 monthly summary focusing on delivering stable features, reliability improvements, and operational readiness across four repositories. The work emphasized business value, test reliability, and scalable configuration to support faster incident response and smoother nightly operations.
April 2025 performance summary: Delivered automation and reliability improvements across three repositories, enabling proactive operations, more robust state handling, and dynamic testing readiness. Key features include an LSSTCam enablement script with asyncio, an ignore option for track-and-image workflows, and MTScheduler dynamic test support. Major bugs fixed include dome shutter state handling and ignoring mtaos to prevent interference. These efforts reduce manual intervention, improve safety and consistency, and accelerate testing and deployment pipelines.
April 2025 performance summary: Delivered automation and reliability improvements across three repositories, enabling proactive operations, more robust state handling, and dynamic testing readiness. Key features include an LSSTCam enablement script with asyncio, an ignore option for track-and-image workflows, and MTScheduler dynamic test support. Major bugs fixed include dome shutter state handling and ignoring mtaos to prevent interference. These efforts reduce manual intervention, improve safety and consistency, and accelerate testing and deployment pipelines.
March 2025 was focused on delivering robust automation, configurable calibration timing, and streamlined CI/CD processes across ts_externalscripts and ts_observatory_control. The team expanded the scripting ecosystem, improved exposure timing controls, modernized pipelines, and enhanced actuator testing, while fixing key import resolution issues to ensure reliable module loading.
March 2025 was focused on delivering robust automation, configurable calibration timing, and streamlined CI/CD processes across ts_externalscripts and ts_observatory_control. The team expanded the scripting ecosystem, improved exposure timing controls, modernized pipelines, and enhanced actuator testing, while fixing key import resolution issues to ensure reliable module loading.
Month: 2025-01 — Maintained automated target searching in lsst-ts/ts_observatory_control. Key bug fixed: Simbad query compatibility with astroquery API changes by updating base_tcs.py find_target_simbad (commit 474ba52c1e3b87f37208b71e592be2d537160dc6). This preserved the object's RA/DEC retrieval and the Simbad query construction/execution, preventing disruption to astronomical object searching. Impact: ensured continuous observing workflow with minimal downtime, reducing manual intervention and maintenance overhead. Technologies/skills demonstrated: Python, astroquery integration, robust handling of upstream library changes, regression-safe query logic, and commit-driven maintenance in a critical control path.
Month: 2025-01 — Maintained automated target searching in lsst-ts/ts_observatory_control. Key bug fixed: Simbad query compatibility with astroquery API changes by updating base_tcs.py find_target_simbad (commit 474ba52c1e3b87f37208b71e592be2d537160dc6). This preserved the object's RA/DEC retrieval and the Simbad query construction/execution, preventing disruption to astronomical object searching. Impact: ensured continuous observing workflow with minimal downtime, reducing manual intervention and maintenance overhead. Technologies/skills demonstrated: Python, astroquery integration, robust handling of upstream library changes, regression-safe query logic, and commit-driven maintenance in a critical control path.
Monthly performance summary for 2024-12 focused on lsst-ts/ts_config_ocs enhancements. Implemented a new MTScheduler Run Filter Parameter to enable refined control over which jobs are executed, affecting configuration and job filtering behavior. The change was implemented to support BLOCK-T355 and improves scheduling configurability and resource utilization by filtering job execution more precisely.
Monthly performance summary for 2024-12 focused on lsst-ts/ts_config_ocs enhancements. Implemented a new MTScheduler Run Filter Parameter to enable refined control over which jobs are executed, affecting configuration and job filtering behavior. The change was implemented to support BLOCK-T355 and improves scheduling configurability and resource utilization by filtering job execution more precisely.
2024-11 Monthly Summary: Delivered feature-rich MTScheduler configuration updates and a new dynamic TMA testing tool, with no major bugs reported. Key features include consolidated MTScheduler config for azimuth defaults, block-specific azimuth tweaks, expanded observation filters, and a configurable BLOCK-T3 parameter; plus a new dynamic slew testing script (short_long_slews.py) with config, operational limit validation, logging, and unit tests. Impact: enhances scheduling accuracy, operational flexibility, and testability, enabling more reliable observations and faster validation of telescope movements. Technologies/skills demonstrated: Python scripting, configuration management, unit testing, logging, and repository-level integrations in lsst-ts/ts_config_ocs and lsst-ts/ts_externalscripts.
2024-11 Monthly Summary: Delivered feature-rich MTScheduler configuration updates and a new dynamic TMA testing tool, with no major bugs reported. Key features include consolidated MTScheduler config for azimuth defaults, block-specific azimuth tweaks, expanded observation filters, and a configurable BLOCK-T3 parameter; plus a new dynamic slew testing script (short_long_slews.py) with config, operational limit validation, logging, and unit tests. Impact: enhances scheduling accuracy, operational flexibility, and testability, enabling more reliable observations and faster validation of telescope movements. Technologies/skills demonstrated: Python scripting, configuration management, unit testing, logging, and repository-level integrations in lsst-ts/ts_config_ocs and lsst-ts/ts_externalscripts.
In 2024-10, delivered targeted ts_config_ocs changes to enable flexible deployment and accurate performance measurement for BLOCK-T tasks. Implemented BLOCK-T246 support for ComCam USDF checkout by adding MTScheduler configuration and establishing OCSScheduler linkage (commits 964eac2f277fbbffa81df6ff67dbcefeda5eadb0; 5ea1873c1846e5f336795aaa7b8a88c9e3dcfa34). Addressed BLOCK-T220 do_verify toggling for performance evaluation, enabling disabled verification for initial measurements and re-enabling for precise elapsed-time tracking (commits 076260619618f8504154031670627d96c94bec28; 8396e83d94d0173be40e446e8fc6d04ac1e688e4; 1a2aea804451450e782b26c95ea2b0c0a706792e). Overall impact includes improved deployment flexibility, traceability, and time-based analysis, demonstrated through scheduler configuration, symbolic-link integration, and meticulous commit-based changes.
In 2024-10, delivered targeted ts_config_ocs changes to enable flexible deployment and accurate performance measurement for BLOCK-T tasks. Implemented BLOCK-T246 support for ComCam USDF checkout by adding MTScheduler configuration and establishing OCSScheduler linkage (commits 964eac2f277fbbffa81df6ff67dbcefeda5eadb0; 5ea1873c1846e5f336795aaa7b8a88c9e3dcfa34). Addressed BLOCK-T220 do_verify toggling for performance evaluation, enabling disabled verification for initial measurements and re-enabling for precise elapsed-time tracking (commits 076260619618f8504154031670627d96c94bec28; 8396e83d94d0173be40e446e8fc6d04ac1e688e4; 1a2aea804451450e782b26c95ea2b0c0a706792e). Overall impact includes improved deployment flexibility, traceability, and time-based analysis, demonstrated through scheduler configuration, symbolic-link integration, and meticulous commit-based changes.
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