
Eden Nihy developed and maintained advanced scheduling and control systems for the LSST telescope, focusing on the lsst-ts/ts_config_ocs and related repositories. Over ten months, Eden delivered robust features for survey scheduling, observatory automation, and calibration, using Python and YAML for configuration and scripting. Their work included implementing configurable survey blocks, refining telescope pointing and acquisition logic, and enhancing error handling and documentation. Eden addressed operational reliability by tuning scheduler parameters, improving calibration routines, and standardizing configuration management. The depth of their contributions is reflected in the seamless integration of new features, rigorous testing, and clear, maintainable code across the stack.

September 2025: Delivered scheduler and telescope control improvements to increase science throughput and observing reliability. Key changes include: ATScheduler tuning for spectroscopy with updated target priorities and spec_flex info plus longer acquisition exposures; time_on_target added to initial script blocks to improve wrap optimization during slews; azimuth overshoot reduction for AuxTel slews by lowering overslew step size from 2.0 to 1.5, improving pointing precision. These changes are expected to raise spectroscopy target yield, reduce failed acquisitions, and shorten per-target overhead, enhancing data quality and nightly efficiency.
September 2025: Delivered scheduler and telescope control improvements to increase science throughput and observing reliability. Key changes include: ATScheduler tuning for spectroscopy with updated target priorities and spec_flex info plus longer acquisition exposures; time_on_target added to initial script blocks to improve wrap optimization during slews; azimuth overshoot reduction for AuxTel slews by lowering overslew step size from 2.0 to 1.5, improving pointing precision. These changes are expected to raise spectroscopy target yield, reduce failed acquisitions, and shorten per-target overhead, enhancing data quality and nightly efficiency.
August 2025: ATScheduler improvements in lsst-ts/ts_config_ocs delivering stronger survey scheduling and pointing accuracy. Consolidated two commits to refine survey execution: (1) updated target configurations, exposure parameters, and priority targets; (2) added a second iteration of the correct_pointing script to mitigate hexapod-induced pointing offsets, increasing precision and reliability. This work reduces pointing-related rework, improves data quality, and enables more efficient observation campaigns. Technologies demonstrated include Python scripting, JSON/YAML configuration management, and Git-based change management, with close coordination with ops to ensure robust pointing models.
August 2025: ATScheduler improvements in lsst-ts/ts_config_ocs delivering stronger survey scheduling and pointing accuracy. Consolidated two commits to refine survey execution: (1) updated target configurations, exposure parameters, and priority targets; (2) added a second iteration of the correct_pointing script to mitigate hexapod-induced pointing offsets, increasing precision and reliability. This work reduces pointing-related rework, improves data quality, and enables more efficient observation campaigns. Technologies demonstrated include Python scripting, JSON/YAML configuration management, and Git-based change management, with close coordination with ops to ensure robust pointing models.
July 2025 monthly summary focusing on business value and technical achievements across scheduling, calibration, and observatory control. Delivered targeted improvements that increase observing efficiency, reliability, and maintainability, with clear release documentation and robust error handling.
July 2025 monthly summary focusing on business value and technical achievements across scheduling, calibration, and observatory control. Delivered targeted improvements that increase observing efficiency, reliability, and maintainability, with clear release documentation and robust error handling.
June 2025: Delivered a focused set of features and robustness improvements across LSST TS repositories, emphasizing clear documentation, configurability, monitoring accuracy, and calibration reliability. The work enhances operational efficiency, data yield, and science ROI by enabling better configurability, clearer schema usage, and stronger fault tolerance.
June 2025: Delivered a focused set of features and robustness improvements across LSST TS repositories, emphasizing clear documentation, configurability, monitoring accuracy, and calibration reliability. The work enhances operational efficiency, data yield, and science ROI by enabling better configurability, clearer schema usage, and stronger fault tolerance.
May 2025 performance summary focusing on business value and technical achievements across three repos. Key outcomes include automation enhancements for telescope imaging, standardization of offset handling for scheduling, and improved user guidance and reliability through configurable exposure controls. These efforts reduce manual steps, improve operational stability, and provide clearer documentation for observers and operators.
May 2025 performance summary focusing on business value and technical achievements across three repos. Key outcomes include automation enhancements for telescope imaging, standardization of offset handling for scheduling, and improved user guidance and reliability through configurable exposure controls. These efforts reduce manual steps, improve operational stability, and provide clearer documentation for observers and operators.
April 2025 monthly summary: A comprehensive set of scheduler, control, and testing improvements across LSST TS components, with emphasis on rotator tracking readiness, expanded observational blocks, and reliability enhancements. Key outcomes include rotator-tracking tests and field survey updates for MTScheduler; expanded hexapod warmup blocks and ATScheduler integration; new BLOCKs and scheduler configurations to broaden on-sky testing; and enhanced observatory-control testing and documentation. Additional work covered OCSScheduler symbolic links, BTS extensions, mounted-filter inventory, AOS LUTs/blocks, and camera ROI support. Bug fixes targeted clarity and hardware constraints, while testing infrastructure improvements improved mock fidelity for ComCam/LATISS and MTCS sequencing. The result is improved on-sky readiness, calibration fidelity, and maintainability, delivering measurable business value through safer, faster observing and clearer configuration management.
April 2025 monthly summary: A comprehensive set of scheduler, control, and testing improvements across LSST TS components, with emphasis on rotator tracking readiness, expanded observational blocks, and reliability enhancements. Key outcomes include rotator-tracking tests and field survey updates for MTScheduler; expanded hexapod warmup blocks and ATScheduler integration; new BLOCKs and scheduler configurations to broaden on-sky testing; and enhanced observatory-control testing and documentation. Additional work covered OCSScheduler symbolic links, BTS extensions, mounted-filter inventory, AOS LUTs/blocks, and camera ROI support. Bug fixes targeted clarity and hardware constraints, while testing infrastructure improvements improved mock fidelity for ComCam/LATISS and MTCS sequencing. The result is improved on-sky readiness, calibration fidelity, and maintainability, delivering measurable business value through safer, faster observing and clearer configuration management.
Month: 2025-03 – Developer monthly summary focusing on features delivered, major issues addressed, and overall impact across four repositories. Summary highlights: four feature-focused enhancements across external scripts, configuration, observatory control, and standards scripts, with emphasis on configurability, robustness, and metadata. No explicit bug-fix commits identified; the month centered on delivering configurable options, scheduler/operation improvements, and enhanced image metadata with release/documentation artifacts.
Month: 2025-03 – Developer monthly summary focusing on features delivered, major issues addressed, and overall impact across four repositories. Summary highlights: four feature-focused enhancements across external scripts, configuration, observatory control, and standards scripts, with emphasis on configurability, robustness, and metadata. No explicit bug-fix commits identified; the month centered on delivering configurable options, scheduler/operation improvements, and enhanced image metadata with release/documentation artifacts.
January 2025 (lsst-ts/ts_config_ocs): Focused on reliability, scheduling correctness, and telemetry configuration cleanliness to improve survey operations and data quality. Key features delivered: - Bug fixes enhancing scheduling correctness for auxtel surveys: corrected absolute/relative handling in ATScheduler for survey-spec blocks and updated spec high-availability (HA) limits to prevent unintended overlaps. - Telemetry configuration cleanup: removed the efd_name overwrite from telemetry stream configurations across AuxTel scheduler YAMLs to simplify settings and reduce misconfiguration risk. Major bugs fixed: - Survey scheduling correctness: ATScheduler offset timing applied correctly for auxtel survey-spec blocks; HA limits adjusted to avoid overlaps. - Telemetry configuration risk: removal of efd_name overwrite across telemetry streams. Overall impact and accomplishments: - Increased schedule reliability and predictability for auxtel surveys, leading to more efficient observing windows and data collection. - Reduced configuration risk via simplified telemetry settings, lowering operator error and maintenance overhead. - Clear, auditable changes in Jan 2025 that improve long-term maintainability of the ts_config_ocs configuration suite. Technologies/skills demonstrated: - ATScheduler scheduling logic, offset handling, and constraint management. - YAML-based telemetry configuration management and cleanups. - Version control discipline, with targeted commits addressing scheduling and telemetry concerns.
January 2025 (lsst-ts/ts_config_ocs): Focused on reliability, scheduling correctness, and telemetry configuration cleanliness to improve survey operations and data quality. Key features delivered: - Bug fixes enhancing scheduling correctness for auxtel surveys: corrected absolute/relative handling in ATScheduler for survey-spec blocks and updated spec high-availability (HA) limits to prevent unintended overlaps. - Telemetry configuration cleanup: removed the efd_name overwrite from telemetry stream configurations across AuxTel scheduler YAMLs to simplify settings and reduce misconfiguration risk. Major bugs fixed: - Survey scheduling correctness: ATScheduler offset timing applied correctly for auxtel survey-spec blocks; HA limits adjusted to avoid overlaps. - Telemetry configuration risk: removal of efd_name overwrite across telemetry streams. Overall impact and accomplishments: - Increased schedule reliability and predictability for auxtel surveys, leading to more efficient observing windows and data collection. - Reduced configuration risk via simplified telemetry settings, lowering operator error and maintenance overhead. - Clear, auditable changes in Jan 2025 that improve long-term maintainability of the ts_config_ocs configuration suite. Technologies/skills demonstrated: - ATScheduler scheduling logic, offset handling, and constraint management. - YAML-based telemetry configuration management and cleanups. - Version control discipline, with targeted commits addressing scheduling and telemetry concerns.
December 2024 summary focusing on calibration accuracy, control-system reliability, and code quality across the LSST TS repos. Key outcomes include fixes to twilight flats calibration and sky counts handling, enhancements to Python scripting for TCS readiness and engineering mode, and race-condition mitigations in Maintel/MTCS/Base_TCS, plus CI linting improvements. These changes reduce calibration risk, improve telescope-operational reliability, and accelerate debugging and onboarding through better documentation and testing signals. Demonstrated technologies include Python scripting and context managers, improved logging/diagnostics, and GitHub Actions workflow updates for code quality gates.
December 2024 summary focusing on calibration accuracy, control-system reliability, and code quality across the LSST TS repos. Key outcomes include fixes to twilight flats calibration and sky counts handling, enhancements to Python scripting for TCS readiness and engineering mode, and race-condition mitigations in Maintel/MTCS/Base_TCS, plus CI linting improvements. These changes reduce calibration risk, improve telescope-operational reliability, and accelerate debugging and onboarding through better documentation and testing signals. Demonstrated technologies include Python scripting and context managers, improved logging/diagnostics, and GitHub Actions workflow updates for code quality gates.
November 2024 concentrated on expanding observing capabilities, hardening automation, and improving data provenance across the ts_config_ocs ecosystem, with supporting work in standards/scripts, external scripts, and observatory control. We delivered expanded BLOCK observations, enhanced field surveys with dithering and camera rotations, richer metadata, and robust state-management for image acquisition, alongside targeted bug fixes that stabilize nightly operations and enable smoother campaign turnover.
November 2024 concentrated on expanding observing capabilities, hardening automation, and improving data provenance across the ts_config_ocs ecosystem, with supporting work in standards/scripts, external scripts, and observatory control. We delivered expanded BLOCK observations, enhanced field surveys with dithering and camera rotations, richer metadata, and robust state-management for image acquisition, alongside targeted bug fixes that stabilize nightly operations and enable smoother campaign turnover.
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