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Trys McCann

PROFILE

Trys Mccann

During a two-month period, John McCann enhanced astronomical data processing pipelines in the lsst/drp_pipe and lsst/analysis_tools repositories, focusing on injected catalog analysis for HSC and LSSTComCam. He developed new Python-based analysis tasks and refactored YAML configurations to improve clarity and enable direct comparison of injected star data with object tables. His work included updating build processes to generate pipeline configuration files that integrate these new analysis steps, as well as fixing a critical indexing bug to ensure accurate metric table generation. These contributions improved data validation, pipeline quality, and the precision of quality assurance workflows for observational scenarios.

Overall Statistics

Feature vs Bugs

75%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
3
Lines of code
304
Activity Months2

Work History

March 2025

3 Commits • 2 Features

Mar 1, 2025

March 2025 monthly summary: Key features delivered and bugs fixed across lsst/analysis_tools and lsst/drp_pipe, focusing on clarity of configuration, data integrity in metric generation, and injected-data analysis capabilities within DRP pipelines. This period saw YAML configuration refactor for task labeling, a critical indexing fix in metric calculation, and the addition of injected-data analysis tasks across DRP pipelines (HSC and LSSTComCam). These changes improve business value by enabling more precise QA, safer metric generation, and richer data analysis workflows. Technologies demonstrated include YAML/configuration management, Python refactoring, build pipeline updates, and DRP pipeline instrumentation.

October 2024

1 Commits • 1 Features

Oct 1, 2024

October 2024: Delivered injected catalog analysis enhancements in RC2 pipelines for HSC and LSSTComCam within lsst/drp_pipe. Implemented new analysis tasks for injected catalogs, updated the build to generate pipeline YAML files that integrate these analysis steps, and enabled comparison of injected star data against object tables. No major bugs fixed this month. The work strengthens data validation, accelerates RC2 readiness, and improves end-to-end pipeline quality for observational scenarios.

Activity

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Quality Metrics

Correctness87.6%
Maintainability90.0%
Architecture92.4%
Performance82.6%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Astronomical Data ProcessingAstronomy SoftwareConfiguration ManagementData AnalysisData Analysis Pipeline ConfigurationData ProcessingPipeline DevelopmentScripting

Repositories Contributed To

2 repos

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

lsst/drp_pipe

Oct 2024 Mar 2025
2 Months active

Languages Used

PythonYAML

Technical Skills

Astronomical Data ProcessingConfiguration ManagementData Analysis Pipeline ConfigurationAstronomy SoftwareData ProcessingPipeline Development

lsst/analysis_tools

Mar 2025 Mar 2025
1 Month active

Languages Used

PythonYAML

Technical Skills

Configuration ManagementData AnalysisScripting