astro-datalab/notebooks-latest
Oct 2024 – Mar 2026
14 Months active
Languages Used
BashPythonJupyter NotebookCSSHTMLShellTextJavaScript
Technical Skills
AstronomyDRAGONSData AnalysisData ReductionGemini ObservatoryJupyter Notebooks
bmerino95
PROFILE
Bmerino95
Over 14 months, contributed to astro-datalab/notebooks-latest by developing and maintaining Jupyter notebooks for astronomical data reduction and analysis, with a focus on Gemini GHOST and GNIRS spectroscopy workflows. Leveraging Python, Jupyter Notebooks, and the DRAGONS package, delivered end-to-end data processing solutions that automate calibration, reduction, and visualization steps. Enhanced notebook usability through metadata management, documentation improvements, and UI/UX refinements, while addressing feedback from stakeholders to ensure clarity and reproducibility. Regularly performed repository maintenance, bug fixes, and code cleanup to streamline onboarding and long-term stability. Demonstrated strengths in data analysis, technical writing, and scientific computing throughout the project.
Overall Statistics
Feature vs Bugs
74%Features
Repository Contributions
33Total
Bugs
5
Commits
33
Features
14
Lines of code
126,747
Activity Months14
Your Network
22 peopleSame Organization
@noirlab.edu12
Shared Repositories
10
Benjamin Alan WeaverMember
BrianMolinaMerinoMember
David HerreraMember
github-actionsMember
Icuras42Member
Astro-MorganMember
Robert NikuttaMember
rohinsantMember
Ragadeepika-PuchaMember
Work History
March 2026
4 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary — astro-datalab/notebooks-latest Key features delivered: - KS4 DR1 Tutorial Notebooks: Consolidated two Jupyter notebooks for KS4 DR1 data tutorials, covering data access, querying, and analysis techniques. Enhancements include authentication instructions, updated metadata and citations, addition of a disclaimer, re-running all cells to ensure functionality, and cleanup of the notebooks for readability. Major bugs fixed / quality improvements: - Re-ran all cells to ensure functionality and added missing disclaimer; addressed feedback; removed blank cells to improve readability. Overall impact and accomplishments: - Improved onboarding and reproducibility for KS4 DR1 data tutorials; streamlined data access and querying workflows; delivered cleaner, well-documented notebooks that support faster adoption and learning. Technologies/skills demonstrated: - Python/Jupyter notebook development, data access patterns, authentication guidance, metadata management, documentation QA, and code cleanup.
4 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary — astro-datalab/notebooks-latest Key features delivered: - KS4 DR1 Tutorial Notebooks: Consolidated two Jupyter notebooks for KS4 DR1 data tutorials, covering data access, querying, and analysis techniques. Enhancements include authentication instructions, updated metadata and citations, addition of a disclaimer, re-running all cells to ensure functionality, and cleanup of the notebooks for readability. Major bugs fixed / quality improvements: - Re-ran all cells to ensure functionality and added missing disclaimer; addressed feedback; removed blank cells to improve readability. Overall impact and accomplishments: - Improved onboarding and reproducibility for KS4 DR1 data tutorials; streamlined data access and querying workflows; delivered cleaner, well-documented notebooks that support faster adoption and learning. Technologies/skills demonstrated: - Python/Jupyter notebook development, data access patterns, authentication guidance, metadata management, documentation QA, and code cleanup.
March 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for astro-datalab/notebooks-latest: Delivered Notebook Section Reorganization for Clarity across multiple Jupyter notebooks to improve readability and organization by separating Disclaimer and Attribution from the Summary and Goals sections. This refactor standardizes layout, reduces cognitive load for end users, and accelerates onboarding for new analysts. The change aligns with documentation standards and long-term maintainability. Commit af12d96739e244e00d3c32220b1fb4b93322cc31 documents the refactor with the message "Seperating the Disclaimer & Attribution section from the summary and goals section."
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for astro-datalab/notebooks-latest: Delivered Notebook Section Reorganization for Clarity across multiple Jupyter notebooks to improve readability and organization by separating Disclaimer and Attribution from the Summary and Goals sections. This refactor standardizes layout, reduces cognitive load for end users, and accelerates onboarding for new analysts. The change aligns with documentation standards and long-term maintainability. Commit af12d96739e244e00d3c32220b1fb4b93322cc31 documents the refactor with the message "Seperating the Disclaimer & Attribution section from the summary and goals section."
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for astro-datalab/notebooks-latest: Focused on improving notebook metadata accuracy, versioning, and documentation usability. Delivered metadata enhancements aligned with new versioning and dataset information, and fixed a metadata issue to improve provenance and reproducibility across notebooks.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for astro-datalab/notebooks-latest: Focused on improving notebook metadata accuracy, versioning, and documentation usability. Delivered metadata enhancements aligned with new versioning and dataset information, and fixed a metadata issue to improve provenance and reproducibility across notebooks.
January 2026
December 2025
1 Commits
Dec 1, 2025December 2025 was focused on stabilizing notebooks-latest data-reduction workflows by removing a faulty GMOS longslit notebook artifact and initiating correction plans to restore accurate examples. This reduces risk of propagation of incorrect results and improves the reliability of the data-reduction tutorials.
December 2025
1 Commits
Dec 1, 2025December 2025 was focused on stabilizing notebooks-latest data-reduction workflows by removing a faulty GMOS longslit notebook artifact and initiating correction plans to restore accurate examples. This reduces risk of propagation of incorrect results and improves the reliability of the data-reduction tutorials.
November 2025
2 Commits • 2 Features
Nov 1, 2025November 2025: Focused on repository hygiene and notebook UX in astro-datalab/notebooks-latest. Key deliveries: 1) Project cleanup: removed unused ipyaladin_globular_cluster.html (commit 6c26af7cbd7f5944f8595c9d384b179a93d01b33). 2) Notebook presentation improvement: removed trailing empty cell at end of notebook while preserving outputs (commit 822345649289c33f16ba2717f3e489cae9e4696e). Major bugs fixed: none identified; effort prioritized maintainability and user experience. Impact: cleaner codebase, clearer notebooks, and improved onboarding for contributors; reduces confusion and accelerates future work. Technologies/skills: Git/version control, code review incorporation, Python notebooks, Jupyter artifacts, documentation alignment.
2 Commits • 2 Features
Nov 1, 2025November 2025: Focused on repository hygiene and notebook UX in astro-datalab/notebooks-latest. Key deliveries: 1) Project cleanup: removed unused ipyaladin_globular_cluster.html (commit 6c26af7cbd7f5944f8595c9d384b179a93d01b33). 2) Notebook presentation improvement: removed trailing empty cell at end of notebook while preserving outputs (commit 822345649289c33f16ba2717f3e489cae9e4696e). Major bugs fixed: none identified; effort prioritized maintainability and user experience. Impact: cleaner codebase, clearer notebooks, and improved onboarding for contributors; reduces confusion and accelerates future work. Technologies/skills: Git/version control, code review incorporation, Python notebooks, Jupyter artifacts, documentation alignment.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for astro-datalab/notebooks-latest highlighting the Aladin globular cluster notebook UX enhancements as the primary feature delivered. No major bugs fixed this month. Overall impact includes a streamlined UI, clearer data presentation, and improved metadata and documentation, enabling easier maintenance and quicker onboarding for new users. Demonstrated technical proficiency in notebook development, UI cleanup, metadata management, and documentation, driven by stakeholder feedback and a focus on business value.
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for astro-datalab/notebooks-latest highlighting the Aladin globular cluster notebook UX enhancements as the primary feature delivered. No major bugs fixed this month. Overall impact includes a streamlined UI, clearer data presentation, and improved metadata and documentation, enabling easier maintenance and quicker onboarding for new users. Demonstrated technical proficiency in notebook development, UI cleanup, metadata management, and documentation, driven by stakeholder feedback and a focus on business value.
September 2025
2 Commits
Sep 1, 2025September 2025: Stabilized NFS data downloads and streamlined the notebook data-reduction workflow for astro-datalab/notebooks-latest. Implemented removal of the 'raw' directory to fix NFS-related issues, ensured downloads occur in the current working directory, and updated the notebook version datestamp. Removed all references to the 'raw' directory to simplify maintenance and reduce edge-case failures. Verified reliability via repeated notebook runs with no NFS errors, and tied changes to explicit commits for traceability.
2 Commits
Sep 1, 2025September 2025: Stabilized NFS data downloads and streamlined the notebook data-reduction workflow for astro-datalab/notebooks-latest. Implemented removal of the 'raw' directory to fix NFS-related issues, ensured downloads occur in the current working directory, and updated the notebook version datestamp. Removed all references to the 'raw' directory to simplify maintenance and reduce edge-case failures. Verified reliability via repeated notebook runs with no NFS errors, and tied changes to explicit commits for traceability.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on the GNIRS longslit Bestar notebook attribution and usage guidelines update in astro-datalab/notebooks-latest. This work improved attribution clarity and accuracy of references for GNIRS-related research, enhanced documentation quality, and aligned guidelines with project standards to support reproducibility and faster research iterations. The update incorporated stakeholder feedback and provides clearer usage guidance for researchers using GNIRS longslit Bestar notebook.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary focusing on the GNIRS longslit Bestar notebook attribution and usage guidelines update in astro-datalab/notebooks-latest. This work improved attribution clarity and accuracy of references for GNIRS-related research, enhanced documentation quality, and aligned guidelines with project standards to support reproducibility and faster research iterations. The update incorporated stakeholder feedback and provides clearer usage guidance for researchers using GNIRS longslit Bestar notebook.
July 2025
6 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for astro-datalab/notebooks-latest focusing on delivering a DRAGONS-integrated GNIRS L-band notebook, stabilizing notebook execution state, and improving data-reduction workflow usability. Highlights include DRAGONS v4.0.0 compatibility, NBID mapping update for the new notebook, and targeted clean-up and guidance enhancements to streamline usage and reproducibility.
6 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for astro-datalab/notebooks-latest focusing on delivering a DRAGONS-integrated GNIRS L-band notebook, stabilizing notebook execution state, and improving data-reduction workflow usability. Highlights include DRAGONS v4.0.0 compatibility, NBID mapping update for the new notebook, and targeted clean-up and guidance enhancements to streamline usage and reproducibility.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for astro-datalab/notebooks-latest: Completed a targeted repository maintenance task driven by stakeholder feedback, focusing on maintainability and long-term stability. Key feature delivered: removal of the obsolete GHOST_IFU_Star.html to streamline the repository structure. No user-facing functionality changes were introduced.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for astro-datalab/notebooks-latest: Completed a targeted repository maintenance task driven by stakeholder feedback, focusing on maintainability and long-term stability. Key feature delivered: removal of the obsolete GHOST_IFU_Star.html to streamline the repository structure. No user-facing functionality changes were introduced.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for astro-datalab/notebooks-latest. Focused on correcting data provenance and improving notebook usability for Gemini GHOST spectroscopy workflows, with measurable improvements to notebook tracking and data reduction guidance.
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for astro-datalab/notebooks-latest. Focused on correcting data provenance and improving notebook usability for Gemini GHOST spectroscopy workflows, with measurable improvements to notebook tracking and data reduction guidance.
January 2025
December 2024
8 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for astro-datalab/notebooks-latest: Gemini GHOST data reduction notebooks and DRAGONS integration were updated for DRAGONS-3.2.2 compatibility and Python API usage, with notebook metadata/versioning improvements (nbid entries, keywords, and automated kernel selection). Kernel auto-selection now targets DRAGONS-3.2.2 (DL, Py3.10.14), and metadata updates ensure reproducibility and discoverability (nbid/nbid.csv, updated Goals, and added GHOST keyword). Minor maintenance included cleanup of outdated HTML and documentation around SCI extensions. The cycle also highlighted strong responsiveness to feedback and stable testing, with no NFS file issues observed during this round.
December 2024
8 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for astro-datalab/notebooks-latest: Gemini GHOST data reduction notebooks and DRAGONS integration were updated for DRAGONS-3.2.2 compatibility and Python API usage, with notebook metadata/versioning improvements (nbid entries, keywords, and automated kernel selection). Kernel auto-selection now targets DRAGONS-3.2.2 (DL, Py3.10.14), and metadata updates ensure reproducibility and discoverability (nbid/nbid.csv, updated Goals, and added GHOST keyword). Minor maintenance included cleanup of outdated HTML and documentation around SCI extensions. The cycle also highlighted strong responsiveness to feedback and stable testing, with no NFS file issues observed during this round.
November 2024
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on notebook improvements for DRAGONS-based GHOST spectroscopy data reduction in astro-datalab/notebooks-latest, with stakeholder feedback incorporated and code refinements to update_list and data selection logic. No major bugs fixed this month; feature-driven progress with strong potential business impact.
1 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on notebook improvements for DRAGONS-based GHOST spectroscopy data reduction in astro-datalab/notebooks-latest, with stakeholder feedback incorporated and code refinements to update_list and data selection logic. No major bugs fixed this month; feature-driven progress with strong potential business impact.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024In Oct 2024, delivered an end-to-end Gemini GHOST spectroscopy notebook with a DRAGONS-based data reduction workflow in astro-datalab/notebooks-latest. The notebook automates data acquisition, calibration database setup, and reduction steps (biases, flats, arcs, standards, and science frames), with integrated plotting of reduced spectra and outputs saved in multiple formats. This work standardizes and accelerates Gemini GHOST data processing, enhances reproducibility, and lowers the barrier for researchers to reproduce results and share notebooks.
October 2024
1 Commits • 1 Features
Oct 1, 2024In Oct 2024, delivered an end-to-end Gemini GHOST spectroscopy notebook with a DRAGONS-based data reduction workflow in astro-datalab/notebooks-latest. The notebook automates data acquisition, calibration database setup, and reduction steps (biases, flats, arcs, standards, and science frames), with integrated plotting of reduced spectra and outputs saved in multiple formats. This work standardizes and accelerates Gemini GHOST data processing, enhances reproducibility, and lowers the barrier for researchers to reproduce results and share notebooks.
Activity
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Quality Metrics
Correctness89.4%
Maintainability91.0%
Architecture89.8%
Performance88.4%
AI Usage21.2%
Skills & Technologies
Programming Languages
BashCSSCSVHTMLJSONJavaScriptJupyter NotebookPythonShellText
Technical Skills
Astronomical Data ProcessingAstronomyAstronomy Data ReductionDRAGONSDRAGONS PackageDRAGONS SoftwareData AnalysisData CalibrationData ManagementData ReductionData VisualizationDocumentationDocumentation ManagementFile ManagementFile System Operations
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline