roman-corgi/corgidrp
Nov 2024 – Apr 2026
18 Months active
Languages Used
CSVFITSMarkdownPythonShellFitsNAJSON
Technical Skills
Astronomical Data ProcessingAstronomyAstronomy Data ProcessingAstronomy SoftwareCSV Data HandlingCode Formatting
Juergen Schreiber
PROFILE
Juergen Schreiber
Over 18 months, Sebastian Schreiber engineered core calibration and data reduction workflows for the roman-corgi/corgidrp repository, focusing on robust astronomical data processing and spectroscopy. He developed and refactored pipelines for flux and wavelength calibration, spectral extraction, and error propagation, integrating technologies such as Python, Astropy, and FITS file handling. His work emphasized automated, end-to-end testing, metadata standardization, and maintainable code through documentation and linting. By introducing new calibration frameworks and improving data validation, Sebastian addressed edge cases and enhanced reliability, enabling reproducible science outputs and streamlined onboarding. The depth of his contributions ensured scalable, production-ready scientific software.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
202Total
Bugs
9
Commits
202
Features
48
Lines of code
247,076
Activity Months18
Your Network
39 peopleSame Organization
@mpia.de3
Shared Repositories
36
maillardMember
Alexis LauMember
Aneesh BaburajMember
bensutlieffMember
clarissardooMember
Ell BogatMember
Eric ShenMember
Ezar ShinbaroMember
Jason WangMember
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026: Focused on strengthening SpecFlux calibration workflow and test documentation for roman-corgi/corgidrp. Implemented ND-filter-aware recipe filename logic to improve spectral data routing, updated SpecFluxCal processing tests and validation steps, and clarified the end-to-end calibration workflow in the documentation. No major bugs fixed this month; work emphasized reliability, maintainability, and clear guidance for future validation and automation. Commits addressed review feedback and improved code comments to enhance maintainability.
2 Commits • 1 Features
Apr 1, 2026April 2026: Focused on strengthening SpecFlux calibration workflow and test documentation for roman-corgi/corgidrp. Implemented ND-filter-aware recipe filename logic to improve spectral data routing, updated SpecFluxCal processing tests and validation steps, and clarified the end-to-end calibration workflow in the documentation. No major bugs fixed this month; work emphasized reliability, maintainability, and clear guidance for future validation and automation. Commits addressed review feedback and improved code comments to enhance maintainability.
April 2026
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for roman-corgi/corgidrp: Focus on strengthening calibration reliability and test robustness to reduce production risk. Delivered Flux Calibration Enhancements with median image combination to reduce noise and improve accuracy, including an end-to-end validation of the calibration workflow. Increased Detector Noise Maps testing robustness by expanding the number of mock calibration files. No major bugs fixed this month; primary value delivered through improved calibration quality and test coverage. Technologies demonstrated include image processing, calibration pipelines, and test automation that supports reproducibility and CI readiness.
March 2026
3 Commits • 2 Features
Mar 1, 2026March 2026 monthly summary for roman-corgi/corgidrp: Focus on strengthening calibration reliability and test robustness to reduce production risk. Delivered Flux Calibration Enhancements with median image combination to reduce noise and improve accuracy, including an end-to-end validation of the calibration workflow. Increased Detector Noise Maps testing robustness by expanding the number of mock calibration files. No major bugs fixed this month; primary value delivered through improved calibration quality and test coverage. Technologies demonstrated include image processing, calibration pipelines, and test automation that supports reproducibility and CI readiness.
February 2026
11 Commits • 3 Features
Feb 1, 2026February 2026 performance summary for roman-corgi/corgidrp focused on data integrity, header standardization, and PSF accuracy improvements across the processing pipeline. Delivered key metadata normalization and robust header handling to ensure consistent downstream processing and analytics.
11 Commits • 3 Features
Feb 1, 2026February 2026 performance summary for roman-corgi/corgidrp focused on data integrity, header standardization, and PSF accuracy improvements across the processing pipeline. Delivered key metadata normalization and robust header handling to ensure consistent downstream processing and analytics.
February 2026
January 2026
12 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for roman-corgi/corgidrp focused on delivering robust spectroscopy calibration capabilities, increasing automation, and improving reliability. The month emphasized core calibration workflow improvements, expanded calibration product support, and strengthened testing and CI stability to drive higher data quality and faster scientific turnaround.
January 2026
12 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for roman-corgi/corgidrp focused on delivering robust spectroscopy calibration capabilities, increasing automation, and improving reliability. The month emphasized core calibration workflow improvements, expanded calibration product support, and strengthened testing and CI stability to drive higher data quality and faster scientific turnaround.
December 2025
9 Commits • 2 Features
Dec 1, 2025December 2025: Delivered end-to-end spectral calibration enhancements for roman-corgi/corgidrp, enabling automated flux calibration for spectroscopy data and improving data quality and pipeline reliability. Key features include a new Spectral Flux Calibration (SpecFluxCal) framework with file generation, data quality checks, and seamless integration with existing data structures, and the SpecFilterOffset integration that adds the offset calibration to the default caldb and supports automatic calibration in calibration templates. Code quality and maintenance improved through lint fixes, documentation updates, and addressing an issue to convert extracted spectra to flux-calibrated data (issue 681), plus updating deprecated numpy.reshape usage. These efforts reduce manual calibration steps, enhance reproducibility, and enable faster, more reliable downstream analysis in production pipelines.
9 Commits • 2 Features
Dec 1, 2025December 2025: Delivered end-to-end spectral calibration enhancements for roman-corgi/corgidrp, enabling automated flux calibration for spectroscopy data and improving data quality and pipeline reliability. Key features include a new Spectral Flux Calibration (SpecFluxCal) framework with file generation, data quality checks, and seamless integration with existing data structures, and the SpecFilterOffset integration that adds the offset calibration to the default caldb and supports automatic calibration in calibration templates. Code quality and maintenance improved through lint fixes, documentation updates, and addressing an issue to convert extracted spectra to flux-calibrated data (issue 681), plus updating deprecated numpy.reshape usage. These efforts reduce manual calibration steps, enhance reproducibility, and enable faster, more reliable downstream analysis in production pipelines.
December 2025
November 2025
14 Commits • 3 Features
Nov 1, 2025For 2025-11, delivered end-to-end spectral processing enhancements, improved data formatting, and strengthened calibration/testing infrastructure in roman-corgi/corgidrp. The work enhances data quality, processing reliability, and reproducibility while enabling downstream science analyses with higher throughput and consistency.
November 2025
14 Commits • 3 Features
Nov 1, 2025For 2025-11, delivered end-to-end spectral processing enhancements, improved data formatting, and strengthened calibration/testing infrastructure in roman-corgi/corgidrp. The work enhances data quality, processing reliability, and reproducibility while enabling downstream science analyses with higher throughput and consistency.
October 2025
5 Commits • 2 Features
Oct 1, 2025Month 2025-10 — Delivered two high-impact features for roman-corgi/corgidrp: (1) robustness in zero-point determination for 3D narrowband datasets, and (2) end-to-end improvements for the L3→L4 spectroscopy data pipeline, including tests, naming conventions, and user messaging improvements. These changes increase reliability, data quality, and user experience across the data processing pipeline. Business value includes reduced failure modes during dataset preparation, clearer and more actionable user feedback, and validated end-to-end processing from L3 to L4 with standardized conventions.
5 Commits • 2 Features
Oct 1, 2025Month 2025-10 — Delivered two high-impact features for roman-corgi/corgidrp: (1) robustness in zero-point determination for 3D narrowband datasets, and (2) end-to-end improvements for the L3→L4 spectroscopy data pipeline, including tests, naming conventions, and user messaging improvements. These changes increase reliability, data quality, and user experience across the data processing pipeline. Business value includes reduced failure modes during dataset preparation, clearer and more actionable user feedback, and validated end-to-end processing from L3 to L4 with standardized conventions.
October 2025
September 2025
15 Commits • 4 Features
Sep 1, 2025September 2025 performance summary for roman-corgi/corgidrp: Delivered foundational data standardization for FITS templates, enhanced spectral extraction and line-spread calibration, and expanded bad-pixel calibration workflows. Strengthened test coverage and documentation, improving data quality, reliability, and developer velocity. Established Git LFS for large template assets to support scalable data management and smoother releases.
September 2025
15 Commits • 4 Features
Sep 1, 2025September 2025 performance summary for roman-corgi/corgidrp: Delivered foundational data standardization for FITS templates, enhanced spectral extraction and line-spread calibration, and expanded bad-pixel calibration workflows. Strengthened test coverage and documentation, improving data quality, reliability, and developer velocity. Established Git LFS for large template assets to support scalable data management and smoother releases.
August 2025
19 Commits • 3 Features
Aug 1, 2025August 2025 (roman-corgi/corgidrp) delivered a set of high-impact spectroscopic pipeline enhancements focused on template integrity, wavelength calibration robustness, and narrowband processing throughput. Key outcomes include a refreshed Spectroscopic Template Management system with consistent FITS naming and metadata, a major Wavelength Calibration Overhaul with zeropoint computation and a move away from the legacy WaveCal, and the introduction of Line Spread Function (LineSpread) calibration to improve wavelength accuracy across multiple narrowband frames. The work also encompasses expanded tests, improved documentation, and more reliable bandpass handling, all contributing to higher data quality and more maintainable code. Business value and technical impact: - Higher fidelity wavelength solutions and reduced template drift enable more precise astrophysical measurements and reliable downstream analyses. - Refactored calibration pipeline and wave map integration streamline processing, lower maintenance burden, and faster onboarding for new spectroscopy workflows. - Robust multi-frame processing and enhanced bandpass handling improve data quality, reproducibility, and end-to-end processing performance. - Strengthened coding discipline through comprehensive tests, documentation updates, and cleanups (e.g., removal of deprecated WaveCal, better header metadata, and clearer function interfaces).
19 Commits • 3 Features
Aug 1, 2025August 2025 (roman-corgi/corgidrp) delivered a set of high-impact spectroscopic pipeline enhancements focused on template integrity, wavelength calibration robustness, and narrowband processing throughput. Key outcomes include a refreshed Spectroscopic Template Management system with consistent FITS naming and metadata, a major Wavelength Calibration Overhaul with zeropoint computation and a move away from the legacy WaveCal, and the introduction of Line Spread Function (LineSpread) calibration to improve wavelength accuracy across multiple narrowband frames. The work also encompasses expanded tests, improved documentation, and more reliable bandpass handling, all contributing to higher data quality and more maintainable code. Business value and technical impact: - Higher fidelity wavelength solutions and reduced template drift enable more precise astrophysical measurements and reliable downstream analyses. - Refactored calibration pipeline and wave map integration streamline processing, lower maintenance burden, and faster onboarding for new spectroscopy workflows. - Robust multi-frame processing and enhanced bandpass handling improve data quality, reproducibility, and end-to-end processing performance. - Strengthened coding discipline through comprehensive tests, documentation updates, and cleanups (e.g., removal of deprecated WaveCal, better header metadata, and clearer function interfaces).
August 2025
July 2025
14 Commits • 2 Features
Jul 1, 2025During July 2025, the corgidrp work focused on delivering wavelength calibration capabilities, overhauling spectroscopy data assets, and hardening data validation. Key outcomes include enabling wavelength calibration maps and lookups for spectroscopy, expanding data assets (offset arrays, filter sweep data, 3D prism templates), refactoring path handling and deprecating legacy spectroscopy code, and stabilizing tests and documentation quality. These efforts reduce downstream errors, speed up data processing pipelines, and lower maintenance burden across the spectroscopic data workflow.
July 2025
14 Commits • 2 Features
Jul 1, 2025During July 2025, the corgidrp work focused on delivering wavelength calibration capabilities, overhauling spectroscopy data assets, and hardening data validation. Key outcomes include enabling wavelength calibration maps and lookups for spectroscopy, expanding data assets (offset arrays, filter sweep data, 3D prism templates), refactoring path handling and deprecating legacy spectroscopy code, and stabilizing tests and documentation quality. These efforts reduce downstream errors, speed up data processing pipelines, and lower maintenance burden across the spectroscopic data workflow.
June 2025
18 Commits • 4 Features
Jun 1, 2025June 2025 monthly recap for roman-corgi/corgidrp focused on delivering core calibration and testing improvements, strengthening end-to-end reliability, and improving maintainability. The month emphasized features that increase spectral analysis accuracy, robust flux calibration workflows, and test coverage, directly supporting business value through more reliable workflows and reusable CALSPEC data across datasets.
18 Commits • 4 Features
Jun 1, 2025June 2025 monthly recap for roman-corgi/corgidrp focused on delivering core calibration and testing improvements, strengthening end-to-end reliability, and improving maintainability. The month emphasized features that increase spectral analysis accuracy, robust flux calibration workflows, and test coverage, directly supporting business value through more reliable workflows and reusable CALSPEC data across datasets.
June 2025
May 2025
14 Commits • 5 Features
May 1, 2025May 2025 delivered significant enhancements to the corgidrp workflow: robust image data handling, scalar-friendly calibration, and expanded testing, with stronger data quality controls and improved persistence of model parameters. These changes reduce edge-case failures, streamline calibration pipelines, and accelerate QA. Result: more reliable instrument modeling, faster task turnaround, and clearer traceability to commit changes.
May 2025
14 Commits • 5 Features
May 1, 2025May 2025 delivered significant enhancements to the corgidrp workflow: robust image data handling, scalar-friendly calibration, and expanded testing, with stronger data quality controls and improved persistence of model parameters. These changes reduce edge-case failures, streamline calibration pipelines, and accelerate QA. Result: more reliable instrument modeling, faster task turnaround, and clearer traceability to commit changes.
April 2025
12 Commits • 3 Features
Apr 1, 2025April 2025: Delivered three core capabilities to improve data traceability, robustness, and reliability in the CORGIDRP pipeline, with targeted fixes to unit handling and code quality. This period focused on calibrations, CALSPEC, error propagation, and ensuring consistent data quality for downstream analysis.
12 Commits • 3 Features
Apr 1, 2025April 2025: Delivered three core capabilities to improve data traceability, robustness, and reliability in the CORGIDRP pipeline, with targeted fixes to unit handling and code quality. This period focused on calibrations, CALSPEC, error propagation, and ensuring consistent data quality for downstream analysis.
April 2025
March 2025
13 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for roman-corgi/corgidrp: Key features delivered include Flux Calibration Pipeline Enhancements and Tests, Core Data Reduction Reliability and Utilities, and Documentation and Test Cleanup. These efforts delivered end-to-end FluxcalFactor creation, improved header/CalDB handling, new flux calculation utilities and Vega magnitude integration, along with robust core data processing (header parsing, electron conversion, kgain error dimensionality) and a cleaner, linted codebase. The work included test coverage for calibration workflow and ND-filter calibration fixes, merge-conflict resolutions, and parameter cleanup. The overall impact is improved calibration accuracy, reliability of data reduction, and maintainability, enabling faster iteration and reduced manual intervention. Technologies used include Python-based data processing, CalDB integration, end-to-end testing, linting, and test suite maintenance.
March 2025
13 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for roman-corgi/corgidrp: Key features delivered include Flux Calibration Pipeline Enhancements and Tests, Core Data Reduction Reliability and Utilities, and Documentation and Test Cleanup. These efforts delivered end-to-end FluxcalFactor creation, improved header/CalDB handling, new flux calculation utilities and Vega magnitude integration, along with robust core data processing (header parsing, electron conversion, kgain error dimensionality) and a cleaner, linted codebase. The work included test coverage for calibration workflow and ND-filter calibration fixes, merge-conflict resolutions, and parameter cleanup. The overall impact is improved calibration accuracy, reliability of data reduction, and maintainability, enabling faster iteration and reduced manual intervention. Technologies used include Python-based data processing, CalDB integration, end-to-end testing, linting, and test suite maintenance.
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for roman-corgi/corgidrp: Implemented robust error handling in the CORGI data reduction pipeline, improved data quality and reliability, and clarified color correction documentation. Delivered business value by enabling 3D error input, tightening gain validation, and improving maintainability through clearer step naming and updated comments.
4 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for roman-corgi/corgidrp: Implemented robust error handling in the CORGI data reduction pipeline, improved data quality and reliability, and clarified color correction documentation. Delivered business value by enabling 3D error input, tightening gain validation, and improving maintainability through clearer step naming and updated comments.
February 2025
January 2025
14 Commits • 1 Features
Jan 1, 2025In January 2025, delivered a major overhaul of the Flux Calibration Framework for roman-corgi/corgidrp, delivering higher accuracy, flexibility, and robustness for photometric calibration workflows. The work enables reliable electron-to-flux conversions with color correction, ND-filter support, and input versatility (Dataset or Image), along with advanced error propagation for photon/shot noise (PTC and ENF) and improved background subtraction within aperture photometry pipelines. These changes substantially improve measurement reliability, enable broader observing configurations, and lay the groundwork for downstream science products.
January 2025
14 Commits • 1 Features
Jan 1, 2025In January 2025, delivered a major overhaul of the Flux Calibration Framework for roman-corgi/corgidrp, delivering higher accuracy, flexibility, and robustness for photometric calibration workflows. The work enables reliable electron-to-flux conversions with color correction, ND-filter support, and input versatility (Dataset or Image), along with advanced error propagation for photon/shot noise (PTC and ENF) and improved background subtraction within aperture photometry pipelines. These changes substantially improve measurement reliability, enable broader observing configurations, and lay the groundwork for downstream science products.
December 2024
7 Commits • 3 Features
Dec 1, 2024December 2024 delivered substantial enhancements to the Flux Calibration pipeline in roman-corgi/corgidrp, expanding capabilities for absolute flux calibration and Vega magnitude calculations while strengthening robustness and test coverage. Key features delivered include core flux calibration improvements (calspec data handling, robust download paths, clearer error handling, and improved exception messages), Vega magnitude calculations with optional scale factor, and new absolute flux calibration capabilities (aper_phot, 2D Gaussian flux fitting) plus a mock data generator and new FluxcalFactors data model. These changes improve calibration accuracy, reliability, and end-to-end traceability, enabling more dependable science outputs and smoother product releases.
7 Commits • 3 Features
Dec 1, 2024December 2024 delivered substantial enhancements to the Flux Calibration pipeline in roman-corgi/corgidrp, expanding capabilities for absolute flux calibration and Vega magnitude calculations while strengthening robustness and test coverage. Key features delivered include core flux calibration improvements (calspec data handling, robust download paths, clearer error handling, and improved exception messages), Vega magnitude calculations with optional scale factor, and new absolute flux calibration capabilities (aper_phot, 2D Gaussian flux fitting) plus a mock data generator and new FluxcalFactors data model. These changes improve calibration accuracy, reliability, and end-to-end traceability, enabling more dependable science outputs and smoother product releases.
December 2024
November 2024
16 Commits • 3 Features
Nov 1, 2024Nov 2024 focused on delivering a robust Flux Calibration workflow for roman-corgi/corgidrp, standardizing data copying across the codebase, and improving developer documentation. The work yielded a cohesive calibration pipeline, more reliable data handling, and clearer guidance for contributors, supporting higher-quality features and faster onboarding.
November 2024
16 Commits • 3 Features
Nov 1, 2024Nov 2024 focused on delivering a robust Flux Calibration workflow for roman-corgi/corgidrp, standardizing data copying across the codebase, and improving developer documentation. The work yielded a cohesive calibration pipeline, more reliable data handling, and clearer guidance for contributors, supporting higher-quality features and faster onboarding.
Activity
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Quality Metrics
Correctness89.8%
Maintainability87.8%
Architecture85.8%
Performance81.2%
AI Usage20.8%
Skills & Technologies
Programming Languages
CSVFITSFitsJSONMarkdownNAPythonShellreStructuredText
Technical Skills
Astronomical Data ProcessingAstronomyAstronomy Data ProcessingAstronomy Data ReductionAstronomy SoftwareAstronomy Software DevelopmentAstrophysicsAstrophysics Data ReductionAstrophysics SoftwareAstropyAstrostatisticsBackend DevelopmentBug FixingCSV Data HandlingCalibration
Repositories Contributed To
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