AstarVienna/METIS_Pipeline
Jan 2025 – Feb 2026
10 Months active
Languages Used
PythonBashMarkdownShellYAMLbashpythonyaml
Technical Skills
Backend DevelopmentData ProcessingFull Stack DevelopmentScientific ComputingAPI DevelopmentCI/CD
janusbrink
PROFILE
Janusbrink
Worked on the METIS_Pipeline repository, delivering end-to-end calibration and data reduction workflows for astronomical IFU data. Developed and enhanced Python-based recipes for Relative Spectral Response Function (RSRF) generation, incorporating robust FITS file handling, image processing, and scientific computing techniques. Improved pipeline reliability through dependency management, CI/CD automation with GitHub Actions, and modular code refactoring. Addressed data integrity by implementing detector-aware processing, schema adjustments, and safeguards against runtime errors. Enhanced onboarding with streamlined installation instructions and comprehensive documentation. The work enabled reproducible, high-quality calibration products, reduced manual intervention, and accelerated feedback cycles for both developers and scientific data analysts.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
65Total
Bugs
7
Commits
65
Features
21
Lines of code
3,904
Activity Months10
Your Network
13 peopleShared Repositories
13
Benjamin EiseleMember
eiseleb47Member
Chi-Hung YanMember
Gilles OttenMember
Hugo BuddelmeijerMember
JenniferKarrMember
eiseleb47Member
WKMember
Kieran LeschinskiMember
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for AstarVienna/METIS_Pipeline: Delivered UV-based installation and onboarding enhancements to improve accessibility and time-to-first-use. Implemented install flow via UV with cloning and bootstrap steps, and updated README to consistently expose the UV deployment option. These changes reduce setup friction for new users and contributors, enabling faster adoption and lower onboarding costs. No major bugs were fixed this month; the focus was on documentation and onboarding improvements. Technologies/skills demonstrated include documentation craftsmanship, UX-focused onboarding, and reproducible setup automation.
2 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for AstarVienna/METIS_Pipeline: Delivered UV-based installation and onboarding enhancements to improve accessibility and time-to-first-use. Implemented install flow via UV with cloning and bootstrap steps, and updated README to consistently expose the UV deployment option. These changes reduce setup friction for new users and contributors, enabling faster adoption and lower onboarding costs. No major bugs were fixed this month; the focus was on documentation and onboarding improvements. Technologies/skills demonstrated include documentation craftsmanship, UX-focused onboarding, and reproducible setup automation.
February 2026
November 2025
7 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary: Delivered key METIS_Pipeline work including end-to-end IFU workflow enhancements, CI/CD improvements, and documentation polishing. These changes improved data quality, processing reliability, and development velocity while reducing feedback cycles for QA and data analysts.
November 2025
7 Commits • 2 Features
Nov 1, 2025November 2025 monthly summary: Delivered key METIS_Pipeline work including end-to-end IFU workflow enhancements, CI/CD improvements, and documentation polishing. These changes improved data quality, processing reliability, and development velocity while reducing feedback cycles for QA and data analysts.
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly performance summary for October 2025 highlighting delivered features, fixed issues, and resulting business impact for the METIS pipeline project.
1 Commits • 1 Features
Oct 1, 2025Concise monthly performance summary for October 2025 highlighting delivered features, fixed issues, and resulting business impact for the METIS pipeline project.
October 2025
September 2025
1 Commits
Sep 1, 2025September 2025 METIS_Pipeline: Delivered a critical reliability improvement to the RSRF calculation pipeline by resolving the IFU_RSRF recipe run issues. The work involved adjusting data loading paths and schema definitions, refactoring how distortion tables and raw images are accessed, and updating the RsrfIfu schema to correctly handle table data. As a result, RSRF calculations now run end-to-end, reducing pipeline errors and enabling timely calibration data processing for METIS.
September 2025
1 Commits
Sep 1, 2025September 2025 METIS_Pipeline: Delivered a critical reliability improvement to the RSRF calculation pipeline by resolving the IFU_RSRF recipe run issues. The work involved adjusting data loading paths and schema definitions, refactoring how distortion tables and raw images are accessed, and updating the RsrfIfu schema to correctly handle table data. As a result, RSRF calculations now run end-to-end, reducing pipeline errors and enabling timely calibration data processing for METIS.
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: METIS_Pipeline delivered robust IFU_RSRF processing enhancements to improve calibration reliability and data quality. Implemented informative step messages for the IFU_RSRF recipe steps (background image creation, spectral flat image generation, and black-body image creation), added safeguards against division by zero during scaling, updated the bad-pixel map for zero-valued blackbody pixels, and refined RSRF curve normalization by checking for zero scale values. This work reduces runtime errors, improves traceability, and supports downstream analytics with more consistent calibrations. The changes were driven by internal functional updates linked to commit 328b1a2adf6725ffa8bb790a648cc27b38eaaf9b (PR #137) and contributed to the overall reliability of the METIS_Pipeline.
1 Commits • 1 Features
Aug 1, 2025August 2025: METIS_Pipeline delivered robust IFU_RSRF processing enhancements to improve calibration reliability and data quality. Implemented informative step messages for the IFU_RSRF recipe steps (background image creation, spectral flat image generation, and black-body image creation), added safeguards against division by zero during scaling, updated the bad-pixel map for zero-valued blackbody pixels, and refined RSRF curve normalization by checking for zero scale values. This work reduces runtime errors, improves traceability, and supports downstream analytics with more consistent calibrations. The changes were driven by internal functional updates linked to commit 328b1a2adf6725ffa8bb790a648cc27b38eaaf9b (PR #137) and contributed to the overall reliability of the METIS_Pipeline.
August 2025
July 2025
1 Commits
Jul 1, 2025Concise monthly summary for 2025-07 focused on stability and data integrity in METIS_Pipeline. Delivered a targeted bug fix to the IFU_RSRF recipe, ensuring correct linearity image loading per detector and updating RSRF data handling to support table data, which reduces processing errors and improves downstream analysis reliability. Implemented with minimal, focused changes (commit 8bce4701482a3da3d7cde11ea288559d2481d533), mitigating risk while restoring correctness. Overall impact includes improved data integrity for METIS observations, faster turn-around for analysts, and stronger reproducibility across processing runs. Key technical achievements include detector-aware data loading, table-data handling for RSRF, and disciplined change scope.
July 2025
1 Commits
Jul 1, 2025Concise monthly summary for 2025-07 focused on stability and data integrity in METIS_Pipeline. Delivered a targeted bug fix to the IFU_RSRF recipe, ensuring correct linearity image loading per detector and updating RSRF data handling to support table data, which reduces processing errors and improves downstream analysis reliability. Implemented with minimal, focused changes (commit 8bce4701482a3da3d7cde11ea288559d2481d533), mitigating risk while restoring correctness. Overall impact includes improved data integrity for METIS observations, faster turn-around for analysts, and stronger reproducibility across processing runs. Key technical achievements include detector-aware data loading, table-data handling for RSRF, and disciplined change scope.
May 2025
10 Commits • 4 Features
May 1, 2025Concise monthly summary for 2025-05 (METIS_Pipeline): Implemented key calibration and data product improvements for IFU RSRF, improved testability, and enhanced data integrity. Delivered a functional IFU Relative Spectral Response Function (RSRF) recipe capable of producing 1D and 2D RSRF products with TableProduct support for saving FITS table data, along with stacking and calibration options. Improved code readability and maintainability through QC parameter documentation and modularization. Reorganized RSRF-related products to enable MD5 checksums, while preserving BadPixMap handling for future fixes. Refactored internal functions to module level to enable unit tests and streamlined validation. Overall, these efforts improve calibration accuracy, data provenance, reproducibility, and developer productivity.
10 Commits • 4 Features
May 1, 2025Concise monthly summary for 2025-05 (METIS_Pipeline): Implemented key calibration and data product improvements for IFU RSRF, improved testability, and enhanced data integrity. Delivered a functional IFU Relative Spectral Response Function (RSRF) recipe capable of producing 1D and 2D RSRF products with TableProduct support for saving FITS table data, along with stacking and calibration options. Improved code readability and maintainability through QC parameter documentation and modularization. Reorganized RSRF-related products to enable MD5 checksums, while preserving BadPixMap handling for future fixes. Refactored internal functions to module level to enable unit tests and streamlined validation. Overall, these efforts improve calibration accuracy, data provenance, reproducibility, and developer productivity.
May 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 (METIS_Pipeline, AstarVienna) - This month focused on modernizing dependencies to improve stability and compatibility. Key features delivered: Dependency upgrade: pyesorex to 1.0.2b0 in METIS_Pipeline to leverage latest fixes, security patches, and compatibility improvements. Major bugs fixed: No critical bugs fixed this month. No user-impact issues reported; effort oriented toward reliability through dependency updates. Overall impact and accomplishments: Strengthened build stability and future upgrade path by aligning with the latest pyesorex release, reducing risk of regressions and easing integration with downstream components. This prepares the pipeline for upcoming features and performance improvements. Technologies/skills demonstrated: Dependency management (requirements.txt), version pinning, and change-tracking via explicit commits. Release risk assessment and minimal, traceable changes. Delivery details: Repository: AstarVienna/METIS_Pipeline. Commits: 10c1d30d67f98db46c19c785a358be90960fddcd: Update requirements.txt; 67dec20565a4eaa51ef427279ff93f4fc8ba65f7: Update requirements.txt
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 (METIS_Pipeline, AstarVienna) - This month focused on modernizing dependencies to improve stability and compatibility. Key features delivered: Dependency upgrade: pyesorex to 1.0.2b0 in METIS_Pipeline to leverage latest fixes, security patches, and compatibility improvements. Major bugs fixed: No critical bugs fixed this month. No user-impact issues reported; effort oriented toward reliability through dependency updates. Overall impact and accomplishments: Strengthened build stability and future upgrade path by aligning with the latest pyesorex release, reducing risk of regressions and easing integration with downstream components. This prepares the pipeline for upcoming features and performance improvements. Technologies/skills demonstrated: Dependency management (requirements.txt), version pinning, and change-tracking via explicit commits. Release risk assessment and minimal, traceable changes. Delivery details: Repository: AstarVienna/METIS_Pipeline. Commits: 10c1d30d67f98db46c19c785a358be90960fddcd: Update requirements.txt; 67dec20565a4eaa51ef427279ff93f4fc8ba65f7: Update requirements.txt
February 2025
39 Commits • 10 Features
Feb 1, 2025February 2025: METIS_Pipeline delivered significant feature improvements and CI/CD/EDPS pipeline stabilization. Key outcomes include detector specification added to the recipe inputset with expanded tests for metis_ifu_rsrf, and a broad set of EDPS/workspace YAML updates to streamline reproducible runs and caching. Several critical bugs were fixed, including the ProductResponseFunction tag, telluric product generation, and a dummy metis_ifu_rsrf recipe parameter issue, complemented by targeted code cleanup and documentation updates. These changes reduce runtime errors, improve data processing reliability, and accelerate CI/CD feedback loops, delivering measurable business value through faster iteration and more robust workflows.
39 Commits • 10 Features
Feb 1, 2025February 2025: METIS_Pipeline delivered significant feature improvements and CI/CD/EDPS pipeline stabilization. Key outcomes include detector specification added to the recipe inputset with expanded tests for metis_ifu_rsrf, and a broad set of EDPS/workspace YAML updates to streamline reproducible runs and caching. Several critical bugs were fixed, including the ProductResponseFunction tag, telluric product generation, and a dummy metis_ifu_rsrf recipe parameter issue, complemented by targeted code cleanup and documentation updates. These changes reduce runtime errors, improve data processing reliability, and accelerate CI/CD feedback loops, delivering measurable business value through faster iteration and more robust workflows.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focused on key features delivered, major fixes, impact, and skills demonstrated for the METIS_Pipeline. January delivered foundational work enabling calibration workflows and downstream data products.
January 2025
1 Commits • 1 Features
Jan 1, 2025Concise monthly summary for 2025-01 focused on key features delivered, major fixes, impact, and skills demonstrated for the METIS_Pipeline. January delivered foundational work enabling calibration workflows and downstream data products.
Activity
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Quality Metrics
Correctness86.2%
Maintainability86.4%
Architecture83.0%
Performance79.4%
AI Usage21.2%
Skills & Technologies
Programming Languages
BashMarkdownPythonShellYAMLbashpythonyaml
Technical Skills
API DevelopmentAstronomy Data ReductionAstronomy SoftwareBackend DevelopmentCI/CDCI/CD ConfigurationCachingCode CleanupCode DocumentationConfiguration ManagementData ProcessingData ReductionDependency ManagementDevOpsDocumentation
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