lsst-sitcom/notebooks_vandv
Nov 2024 – Mar 2026
7 Months active
Languages Used
Jupyter NotebookPython
Technical Skills
BokehData AnalysisData VisualizationEFD ClientEfdClientJupyter Notebook
nsevilla
PROFILE
Nsevilla
Developed a suite of analytics and diagnostic Jupyter notebooks in the lsst-sitcom/notebooks_vandv repository, focusing on telescope operations, actuator health, and verification workflows. Leveraging Python, Pandas, and Bokeh, the work included interactive visualizations for vibration analysis, actuator error diagnostics, and hexapod movement profiling, as well as FFT-based signal processing for anomaly detection. The notebooks featured parameterized workflows, robust data querying, and exportable plots to support reproducible analysis and reporting. Emphasis was placed on modular code, clear labeling, and maintainable structure, enabling faster decision-making, improved diagnostics, and scalable verification and validation processes for Rubin Observatory SIT-Com projects.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
26Total
Bugs
0
Commits
26
Features
11
Lines of code
190,681
Activity Months7
Your Network
16 peopleWork History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026: Rubin SIT-Com Verification & Validation Notebooks released in lsst-sitcom/notebooks_vandv. Delivered the first version of a notebook suite to support verification and validation tasks for Rubin Observatory SIT-Com, including tracking targets, simulating observations, and managing test block data, and establishing environment and tooling to execute and document test cases, enabling repeatable testing workflows. No major bug fixes recorded this month; primary focus was delivering a solid V&V foundation and enabling faster, reproducible testing cycles. Technologies demonstrated include Python, Jupyter notebooks, and data-management practices; collaboration through PR-based development.
1 Commits • 1 Features
Mar 1, 2026March 2026: Rubin SIT-Com Verification & Validation Notebooks released in lsst-sitcom/notebooks_vandv. Delivered the first version of a notebook suite to support verification and validation tasks for Rubin Observatory SIT-Com, including tracking targets, simulating observations, and managing test block data, and establishing environment and tooling to execute and document test cases, enabling repeatable testing workflows. No major bug fixes recorded this month; primary focus was delivering a solid V&V foundation and enabling faster, reproducible testing cycles. Technologies demonstrated include Python, Jupyter notebooks, and data-management practices; collaboration through PR-based development.
March 2026
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for lsst-sitcom/notebooks_vandv: Delivered targeted data visualization refinements in Jupyter notebooks to improve clarity and accuracy of plotted data. Implemented label and title improvements, updated descriptions for scatter plot data points, and revised the main plot title to display the largest positive and largest negative absolute values, with histogram titles using improved date formatting. These changes enhance interpretability for analysts and reduce potential misinterpretation when communicating results. The work was completed via a focused, review-forward commit, demonstrating strong collaboration and code quality. Impact includes improved decision support from clearer visuals and smoother onboarding for new team members to the notebook workflow. Technologies demonstrated include Python-based notebooks, data visualization refactoring, and Git-based collaboration.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for lsst-sitcom/notebooks_vandv: Delivered targeted data visualization refinements in Jupyter notebooks to improve clarity and accuracy of plotted data. Implemented label and title improvements, updated descriptions for scatter plot data points, and revised the main plot title to display the largest positive and largest negative absolute values, with histogram titles using improved date formatting. These changes enhance interpretability for analysts and reduce potential misinterpretation when communicating results. The work was completed via a focused, review-forward commit, demonstrating strong collaboration and code quality. Impact includes improved decision support from clearer visuals and smoother onboarding for new team members to the notebook workflow. Technologies demonstrated include Python-based notebooks, data visualization refactoring, and Git-based collaboration.
May 2025
9 Commits • 2 Features
May 1, 2025May 2025 — Delivered two major analytics features in lsst-sitcom/notebooks_vandv that bolster telescope safety, actuator health monitoring, and operational efficiency. Key outcomes include histogram-based hardpoint force analysis during slews with per-slew visualizations and refined limits, FFT-based diagnostics for force actuator following errors with histograms and power spectra, and improved notebook organization and reproducibility through parameterized workflows and dedicated notebooks. No major bugs fixed this month in this repo. Impact: enables data-driven limit tuning for slews, faster detection of high-force events and actuator anomalies, and clearer, shareable visualizations for decision-makers. Technologies demonstrated: Python data analysis, Jupyter notebooks, histogram plotting, FFT analysis, command-line parameterization, and robust plotting workflows.
9 Commits • 2 Features
May 1, 2025May 2025 — Delivered two major analytics features in lsst-sitcom/notebooks_vandv that bolster telescope safety, actuator health monitoring, and operational efficiency. Key outcomes include histogram-based hardpoint force analysis during slews with per-slew visualizations and refined limits, FFT-based diagnostics for force actuator following errors with histograms and power spectra, and improved notebook organization and reproducibility through parameterized workflows and dedicated notebooks. No major bugs fixed this month in this repo. Impact: enables data-driven limit tuning for slews, faster detection of high-force events and actuator anomalies, and clearer, shareable visualizations for decision-makers. Technologies demonstrated: Python data analysis, Jupyter notebooks, histogram plotting, FFT analysis, command-line parameterization, and robust plotting workflows.
May 2025
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for lsst-sitcom/notebooks_vandv: Delivered two major feature families for hexapod/rotator analytics and dome azimuth analysis, expanding diagnostic capabilities, visualization, and data-driven decision support. Implemented robust data handling and PR hygiene improvements to ensure stability and maintainability, with plots exportable to PNG for reporting.
April 2025
6 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for lsst-sitcom/notebooks_vandv: Delivered two major feature families for hexapod/rotator analytics and dome azimuth analysis, expanding diagnostic capabilities, visualization, and data-driven decision support. Implemented robust data handling and PR hygiene improvements to ensure stability and maintainability, with plots exportable to PNG for reporting.
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 – lsst-sitcom/notebooks_vandv Key features delivered: - Hexapod movement timing data extraction and visualization: Added functions to retrieve start/end times, fetch all movements in a period, and a default movement-start detector. Updated plotting code with an interactive scatter plot for currents vs. movements over a period, enabling time-aligned analysis of hexapod activity. (Commits: 68682ebac8d38417b7ae3453f799513c12133905; 7d0d070be6d869d1e62dd1045d17bcc738227402; 06ab19027305dfba80c8a7995ac9fc01c2c514d9; 8b91ab80be5c03c42fbb1840ec0ba2d8d68f4035) - Current integrals visualization for hexapod motor currents: Added compute_current_integrals (used by plot_hexapod) to compute the area under current over time and display per-strut results. (Commit: 701b3b19948d5d07f7af68f6e7a8205b5591d287) Major bugs fixed / stability improvements: - Removed the legacy get_t_start_end_hex_movement path in favor of an interactive scatter-plot driven workflow, reducing confusion and improving reliability of movement visualization. (Part of removal/refactor in commit 8b91ab80be5c03c42fbb1840ec0ba2d8d68f4035) Overall impact and accomplishments: - Business value: Enables faster, more reliable hexapod motion analysis and power profiling, supporting proactive maintenance and optimization, reducing downtime and energy waste. - Technical: More modular notebook capabilities, new metrics for motor activity, and enhanced visual analytics integrated with updated plotting code. Technologies/skills demonstrated: - Python-driven data extraction, time-series analysis, interactive visualization, and per-strut current profiling; notebook modularization and function design for scalable analytics.
5 Commits • 2 Features
Mar 1, 2025March 2025 – lsst-sitcom/notebooks_vandv Key features delivered: - Hexapod movement timing data extraction and visualization: Added functions to retrieve start/end times, fetch all movements in a period, and a default movement-start detector. Updated plotting code with an interactive scatter plot for currents vs. movements over a period, enabling time-aligned analysis of hexapod activity. (Commits: 68682ebac8d38417b7ae3453f799513c12133905; 7d0d070be6d869d1e62dd1045d17bcc738227402; 06ab19027305dfba80c8a7995ac9fc01c2c514d9; 8b91ab80be5c03c42fbb1840ec0ba2d8d68f4035) - Current integrals visualization for hexapod motor currents: Added compute_current_integrals (used by plot_hexapod) to compute the area under current over time and display per-strut results. (Commit: 701b3b19948d5d07f7af68f6e7a8205b5591d287) Major bugs fixed / stability improvements: - Removed the legacy get_t_start_end_hex_movement path in favor of an interactive scatter-plot driven workflow, reducing confusion and improving reliability of movement visualization. (Part of removal/refactor in commit 8b91ab80be5c03c42fbb1840ec0ba2d8d68f4035) Overall impact and accomplishments: - Business value: Enables faster, more reliable hexapod motion analysis and power profiling, supporting proactive maintenance and optimization, reducing downtime and energy waste. - Technical: More modular notebook capabilities, new metrics for motor activity, and enhanced visual analytics integrated with updated plotting code. Technologies/skills demonstrated: - Python-driven data extraction, time-series analysis, interactive visualization, and per-strut current profiling; notebook modularization and function design for scalable analytics.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered SITCOM-1593 interactive histograms in lsst-sitcom/notebooks_vandv, enabling hover tooltips and point-level inspection within actuator error distributions. Refactored histogram generation to support interactivity, added clear titles, and corrected binning logic. This work enhances data exploration capabilities for SITCOM users and improves the reliability of insights drawn from actuator performance data. The changes lay groundwork for more interactive analytics in SITCOM notebooks and improve maintainability through focused refactoring.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered SITCOM-1593 interactive histograms in lsst-sitcom/notebooks_vandv, enabling hover tooltips and point-level inspection within actuator error distributions. Refactored histogram generation to support interactivity, added clear titles, and corrected binning logic. This work enhances data exploration capabilities for SITCOM users and improves the reliability of insights drawn from actuator performance data. The changes lay groundwork for more interactive analytics in SITCOM notebooks and improve maintainability through focused refactoring.
November 2024
3 Commits • 2 Features
Nov 1, 2024November 2024 performance summary for the lsst-sitcom/notebooks_vandv repository. Delivered two major notebook enhancements focusing on vibration analysis and force actuator error diagnostics, with improvements in readability, data handling, and visualization to enable faster, more reliable decision-making.
3 Commits • 2 Features
Nov 1, 2024November 2024 performance summary for the lsst-sitcom/notebooks_vandv repository. Delivered two major notebook enhancements focusing on vibration analysis and force actuator error diagnostics, with improvements in readability, data handling, and visualization to enable faster, more reliable decision-making.
November 2024
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Quality Metrics
Correctness80.4%
Maintainability80.8%
Architecture77.6%
Performance67.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AstropyBokehCommand Line InterfaceData AnalysisData VisualizationEFD ClientEfdClientJupyter NotebookJupyter NotebooksJupyter notebooksLSST Software StackLog Event ProcessingMatplotlibNumPyPandas
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