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David Law

PROFILE

David Law

Over six months, David Law enhanced the spacetelescope/jwst pipeline by developing and refining features that improved data quality, calibration accuracy, and maintainability. He implemented powerlaw-based time-dependent corrections for MRS photometry, refactored straylight and EMI correction algorithms, and introduced robust data quality masking and parameter tuning for cosmic ray detection. Using Python, Astropy, and Numpy, David addressed compatibility with NumPy 2.0, optimized convolution routines, and expanded regression and unit testing. His work emphasized code readability, documentation clarity, and configuration management, resulting in a more reliable and traceable scientific software suite for astronomical data processing and analysis.

Overall Statistics

Feature vs Bugs

77%Features

Repository Contributions

36Total
Bugs
3
Commits
36
Features
10
Lines of code
622
Activity Months6

Work History

August 2025

1 Commits • 1 Features

Aug 1, 2025

Overview for 2025-08: Delivered a key feature for MRS photometry by implementing powerlaw-based time-dependent corrections in the JWST pipeline. Refactored the photomodule to read/apply coefficients for powerlaw models, replacing the prior exponential-model path. This change improves photometric accuracy and fidelity to updated physical models. No major bugs fixed this month.

June 2025

3 Commits • 1 Features

Jun 1, 2025

June 2025 monthly summary for spacetelescope/jwst focusing on EMI correction improvements and documentation hygiene.

March 2025

3 Commits • 1 Features

Mar 1, 2025

March 2025 performance summary for spacetelescope/jwst focused on correctness, stability, and maintainability in the JWST calibration pipeline. Delivered a critical fix to the SIRS kernel indexing path to ensure the kernel is applied to the correct portion of data, eliminating erroneous reference pixel corrections in the pipeline and improving calibration accuracy for March observations. The fix was documented with a changelog entry to improve traceability for users and engineers. Conducted code maintenance on optimized_convolution.py, cleaning up the integer division logic to improve readability and reduce the risk of regressions, without altering functionality. These efforts enhance pipeline reliability, observability of changes, and long-term maintainability, delivering tangible business value by improving data quality and developer productivity.

February 2025

14 Commits • 3 Features

Feb 1, 2025

February 2025 focused on delivering robust data quality improvements and expanding the JWST pipeline’s reliability. Key work in straylight mitigation, nuanced data quality masking, and ramp fitting introduced new capabilities and stronger test coverage, yielding cleaner data products and clearer documentation for instrument teams.

January 2025

10 Commits • 2 Features

Jan 1, 2025

Month: 2025-01 — spacetelescope/jwst delivered robustness and documentation improvements across pixel replacement, straylight correction, and CRDS usage. Key outcomes include a NumPy 2.0 compatibility fix for pixel replacement, enhanced straylight correction for MIRI MRS with clarified algorithm and optional residual shower removal, and extensive CRDS/documentation updates to improve guidance and reference data workflows. These changes improve reliability in data processing, reduce operational risk in NumPy 2.0 environments, and enhance maintainability and user onboarding through clearer docs and standards.

December 2024

5 Commits • 2 Features

Dec 1, 2024

December 2024 performance summary for spacetelescope/jwst pipeline work focused on strengthening data quality, reliability, and test coverage across MIRI and SIRS processing steps. Delivered new parameterization to avoid false positives in jump detection, introduced straylight cleanup for MIRI MRS, and fixed a critical reference pixel subtraction bug with updated tests and changelog. These changes reduce misclassifications, improve straylight handling, and ensure alignment with current reference data (nrca3).

Activity

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Quality Metrics

Correctness92.2%
Maintainability94.6%
Architecture91.6%
Performance86.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

AstropyMarkdownNumpyPythonRSTreStructuredTextrsttext

Technical Skills

Astronomy SoftwareAstrophysics SoftwareBug FixBug FixingCode FormattingCode RefactoringConfiguration ManagementData AnalysisData ProcessingData Quality FlaggingData ValidationDocumentationImage AnalysisImage ProcessingNumerical Optimization

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

spacetelescope/jwst

Dec 2024 Aug 2025
6 Months active

Languages Used

PythonreStructuredTextrstMarkdownRSTtextAstropyNumpy

Technical Skills

Astronomy SoftwareBug FixData AnalysisData ProcessingDocumentationImage Analysis

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