
Eli Urbach developed and maintained calibration, scheduling, and control systems for the LSST observatory, focusing on the lsst-ts/ts_config_ocs and lsst-ts/ts_observatory_control repositories. He delivered features such as automated twilight flats calibration, CBP imaging workflows, and robust spectroscopic survey scheduling, using Python and C++ to integrate configuration management and data processing pipelines. Eli addressed complex challenges in observatory automation by refining scheduler logic, enhancing calibration routines, and correcting data integrity issues. His work demonstrated depth in system integration, technical writing, and debugging, resulting in improved data quality, operational reliability, and maintainable code across the observatory software stack.

In September 2025, delivered a targeted configuration fix for the ts_observatory_control module to stabilize laser-based scan calibration. This work improves data quality and observatory uptime by ensuring scans operate with correct laser mode settings.
In September 2025, delivered a targeted configuration fix for the ts_observatory_control module to stabilize laser-based scan calibration. This work improves data quality and observatory uptime by ensuring scans operate with correct laser mode settings.
Concise monthly summary for 2025-08 focusing on business value and technical achievements. In the lsst-ts/ts_xml repository, the primary deliverable was a critical bug fix to Thermocouple data correctness for M1M3. The corrective changes ensure accurate ThermocoupleData construction by fixing the second and third arguments and adjusting Y-coordinates for data points 44, 45, and 79, preventing errors in positional measurements. No new features were released this month; however, the fix improves data integrity, measurement fidelity, and downstream calibration reliability for current analyses and future work. Impact includes reduced risk of measurement drift, more reliable calibration pipelines, and improved traceability of data sources. Technologies demonstrated include Python data handling, coordinate correction logic, and Git-based collaboration across commits.
Concise monthly summary for 2025-08 focusing on business value and technical achievements. In the lsst-ts/ts_xml repository, the primary deliverable was a critical bug fix to Thermocouple data correctness for M1M3. The corrective changes ensure accurate ThermocoupleData construction by fixing the second and third arguments and adjusting Y-coordinates for data points 44, 45, and 79, preventing errors in positional measurements. No new features were released this month; however, the fix improves data integrity, measurement fidelity, and downstream calibration reliability for current analyses and future work. Impact includes reduced risk of measurement drift, more reliable calibration pipelines, and improved traceability of data sources. Technologies demonstrated include Python data handling, coordinate correction logic, and Git-based collaboration across commits.
Month: 2025-07. This period delivered substantial business value across the observatory control and configuration domains. Key features delivered include CBP control and sequencing refinements, fiber spectroscopy and source-test enhancements with MTCalSys data capture, daily calibration for ph_5, LED/laser timing and calibration improvements, and MTScheduler/ts_config_ocs enhancements for hexapod motion testing and flat-field handling. Major bugs fixed include CBP pulse-number corrections, CBP laser burst sleep timing fixes, and LED z-band exposure time bug resolution. Overall impact: improved measurement accuracy, calibration repeatability, data quality, and system reliability, enabling more efficient observing campaigns and higher-quality data products. Technologies and skills demonstrated: instrumentation control tuning, timing-sensitive data acquisition, calibration loop design, cross-repo coordination, Python-based automation, and validation/testing.
Month: 2025-07. This period delivered substantial business value across the observatory control and configuration domains. Key features delivered include CBP control and sequencing refinements, fiber spectroscopy and source-test enhancements with MTCalSys data capture, daily calibration for ph_5, LED/laser timing and calibration improvements, and MTScheduler/ts_config_ocs enhancements for hexapod motion testing and flat-field handling. Major bugs fixed include CBP pulse-number corrections, CBP laser burst sleep timing fixes, and LED z-band exposure time bug resolution. Overall impact: improved measurement accuracy, calibration repeatability, data quality, and system reliability, enabling more efficient observing campaigns and higher-quality data products. Technologies and skills demonstrated: instrumentation control tuning, timing-sensitive data acquisition, calibration loop design, cross-repo coordination, Python-based automation, and validation/testing.
June 2025 monthly summary: Delivered calibration data and configuration enhancements across instrument control and calibration pipelines, expanded multi-band LED calibration support, and stabilized instrument configurations. Key activities included MT CalSys calibration data/config updates, z-band LED integration in y-band flats, thermocouple data accuracy fixes with documentation, and Rotator LUT revert to a known-good state. These changes improved calibration accuracy, data quality, and system stability, reducing downstream data rework and enabling more reliable end-to-end calibration workflows.
June 2025 monthly summary: Delivered calibration data and configuration enhancements across instrument control and calibration pipelines, expanded multi-band LED calibration support, and stabilized instrument configurations. Key activities included MT CalSys calibration data/config updates, z-band LED integration in y-band flats, thermocouple data accuracy fixes with documentation, and Rotator LUT revert to a known-good state. These changes improved calibration accuracy, data quality, and system stability, reducing downstream data rework and enabling more reliable end-to-end calibration workflows.
May 2025: Key advancements across the ts_config_ocs and ts_observatory_control repositories focused on validation, calibration, and reliability. Highlights include enhanced diagnostics for MTScheduler, expanded CBP calibration support, and corrections that stabilize configuration and operation across the stack. These changes improve motion-control validation, CBP calibration accuracy, and overall system reliability, with schema updates supporting CBP workflows.
May 2025: Key advancements across the ts_config_ocs and ts_observatory_control repositories focused on validation, calibration, and reliability. Highlights include enhanced diagnostics for MTScheduler, expanded CBP calibration support, and corrections that stabilize configuration and operation across the stack. These changes improve motion-control validation, CBP calibration accuracy, and overall system reliability, with schema updates supporting CBP workflows.
April 2025 performance: Achieved end-to-end CBP calibration readiness and improved spectroscopy scheduling across the LSST TS stack. Delivered three key items across repositories: ATScheduler prioritization for spectroscopy targets in ts_config_ocs, MTScheduler BLOCK-T330 CBP focus sweep in ts_config_ocs, and a new CBP imaging script take_cbp_images_lsstcam.py in ts_externalscripts that integrates with MTCalsys and LSSTCam, publishes sequence summaries to S3, and emits exposure metadata. Also fixed a bug in camera filter mapping by using physical filter designations in mtcalsys.yaml to ensure accurate mapping across observing modes in ts_observatory_control. These changes collectively improve observing throughput for high-priority spectroscopy, streamline CBP calibration workflows, and enhance data provenance and cross-mode accuracy.
April 2025 performance: Achieved end-to-end CBP calibration readiness and improved spectroscopy scheduling across the LSST TS stack. Delivered three key items across repositories: ATScheduler prioritization for spectroscopy targets in ts_config_ocs, MTScheduler BLOCK-T330 CBP focus sweep in ts_config_ocs, and a new CBP imaging script take_cbp_images_lsstcam.py in ts_externalscripts that integrates with MTCalsys and LSSTCam, publishes sequence summaries to S3, and emits exposure metadata. Also fixed a bug in camera filter mapping by using physical filter designations in mtcalsys.yaml to ensure accurate mapping across observing modes in ts_observatory_control. These changes collectively improve observing throughput for high-priority spectroscopy, streamline CBP calibration workflows, and enhance data provenance and cross-mode accuracy.
Month: 2025-03 – Focused on strengthening ATScheduler reliability and expanding polar science capabilities in lsst-ts/ts_config_ocs. Key deliverables include blocking filters for spectra flats and refined blocking logic to prevent race conditions in the data pipeline; polar star targeting enhancements with HD99685 addition, updated spectroscopy targets, and continuous polar testing configuration; and a safe increase in watchdog timeout to prevent premature ATScheduler failures (T359). These changes collectively improve data pipeline reliability, target coverage, and operational stability, enabling higher data quality with reduced downtime.
Month: 2025-03 – Focused on strengthening ATScheduler reliability and expanding polar science capabilities in lsst-ts/ts_config_ocs. Key deliverables include blocking filters for spectra flats and refined blocking logic to prevent race conditions in the data pipeline; polar star targeting enhancements with HD99685 addition, updated spectroscopy targets, and continuous polar testing configuration; and a safe increase in watchdog timeout to prevent premature ATScheduler failures (T359). These changes collectively improve data pipeline reliability, target coverage, and operational stability, enabling higher data quality with reduced downtime.
February 2025 monthly performance summary focused on the ts_config_ocs repository. Delivered ATScheduler enhancements to improve observation scheduling, added BLOCK-T40 STAR functionality, and established a foundation for more robust scheduling and target management. Emphasis on business value through increased target yield, optimized CWFS cadence, and clearer change traceability.
February 2025 monthly performance summary focused on the ts_config_ocs repository. Delivered ATScheduler enhancements to improve observation scheduling, added BLOCK-T40 STAR functionality, and established a foundation for more robust scheduling and target management. Emphasis on business value through increased target yield, optimized CWFS cadence, and clearer change traceability.
January 2025 monthly summary for repository lsst-ts/ts_config_ocs focusing on feature delivery and scheduler enhancements. No dedicated bug-fix commits identified this month; work prioritized enabling the January 2025 spectroscopic survey plan and advancing ATScheduler capabilities.
January 2025 monthly summary for repository lsst-ts/ts_config_ocs focusing on feature delivery and scheduler enhancements. No dedicated bug-fix commits identified this month; work prioritized enabling the January 2025 spectroscopic survey plan and advancing ATScheduler capabilities.
December 2024 monthly summary focused on delivering features that improve observability, scheduling robustness, and hardware configuration consistency across two repositories. Key outcomes include documentation improvements with a new visualization, expanded CBP-capable scheduling in MTScheduler, and configuration alignment for electrometer v7 Tucson across instances.
December 2024 monthly summary focused on delivering features that improve observability, scheduling robustness, and hardware configuration consistency across two repositories. Key outcomes include documentation improvements with a new visualization, expanded CBP-capable scheduling in MTScheduler, and configuration alignment for electrometer v7 Tucson across instances.
November 2024 performance highlights across three repositories focused on enhancing twilight flats calibration, pointing reliability, and comprehensive configuration/documentation updates to improve data quality, planning accuracy, and operational robustness. Delivered key calibration and exposure control enhancements for twilight flats, improved pointing and stability during twilight acquisition, and introduced safer handling of dome components during twilight processing. Expanded configuration and survey capabilities in ts_config_ocs to give operators more control over twilight flats and filter/survey setups. Strengthened project documentation for CBP, twilight flats methodology, and image quality analysis to support reproducibility and knowledge transfer.
November 2024 performance highlights across three repositories focused on enhancing twilight flats calibration, pointing reliability, and comprehensive configuration/documentation updates to improve data quality, planning accuracy, and operational robustness. Delivered key calibration and exposure control enhancements for twilight flats, improved pointing and stability during twilight acquisition, and introduced safer handling of dome components during twilight processing. Expanded configuration and survey capabilities in ts_config_ocs to give operators more control over twilight flats and filter/survey setups. Strengthened project documentation for CBP, twilight flats methodology, and image quality analysis to support reproducibility and knowledge transfer.
October 2024 monthly summary for lsst-ts/ts_config_ocs: Delivered ComCam Evening Twilight Tracking Configuration feature enabling a per-observation configuration option to enable/disable tracking during evening twilight observations. This enhancement improves automation and data quality by providing configurable tracking behavior without code changes. No major bugs fixed in this repository this month; focus was on feature delivery and configuration management. Commit reference: 5a2f3118419ebb0ebe83021d00d345fa08e64a77. Technologies demonstrated include configuration-system integration, traceable commits, and end-to-end feature delivery in the ts_config_ocs repo.
October 2024 monthly summary for lsst-ts/ts_config_ocs: Delivered ComCam Evening Twilight Tracking Configuration feature enabling a per-observation configuration option to enable/disable tracking during evening twilight observations. This enhancement improves automation and data quality by providing configurable tracking behavior without code changes. No major bugs fixed in this repository this month; focus was on feature delivery and configuration management. Commit reference: 5a2f3118419ebb0ebe83021d00d345fa08e64a77. Technologies demonstrated include configuration-system integration, traceable commits, and end-to-end feature delivery in the ts_config_ocs repo.
Overview of all repositories you've contributed to across your timeline