astro-datalab/notebooks-latest
Oct 2024 – Sep 2025
8 Months active
Languages Used
BashPythonJupyter NotebookCSSHTMLShellTextJavaScript
Technical Skills
AstronomyDRAGONSData AnalysisData ReductionGemini ObservatoryJupyter Notebooks
bmerino95
PROFILE
Bmerino95
Brian Merino developed and maintained Jupyter notebooks for astronomical data reduction in the astro-datalab/notebooks-latest repository, focusing on workflows for Gemini GHOST and GNIRS spectrographs. He integrated the DRAGONS package and Python scripting to automate data acquisition, calibration, and reduction steps, improving reproducibility and onboarding for researchers. Brian addressed technical challenges such as NFS file handling and notebook execution state, refining file management and shell scripting logic to stabilize workflows. His work included metadata enhancements, documentation updates, and repository cleanup, demonstrating depth in data calibration, scientific computing, and technical writing while ensuring the notebooks remained maintainable and user-friendly.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
22Total
Bugs
4
Commits
22
Features
8
Lines of code
76,616
Activity Months8
Your Network
21 people
Work History
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
Correctness87.8%
Maintainability89.2%
Architecture88.2%
Performance85.4%
AI Usage20.0%
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
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