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tianyu zhu

PROFILE

Tianyu Zhu

Developed stable sorting functionality for pulse groups and photon propagation by pulse ID within the XENONnT/fuse repository, focusing on enhancing data integrity and reproducibility in scientific analyses. Leveraged Python and the strax.stable_sort and strax.stable_argsort utilities to implement deterministic ordering, ensuring consistent results across multiple data processing runs. The work emphasized reliability and traceability in the data pipeline, with all changes tracked through Git for transparent version control. This feature addressed the need for reproducible downstream analyses by providing stable data ordering, demonstrating skills in algorithm implementation, data processing, and scientific computing without introducing new bug fixes during the development period.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
5
Activity Months1

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025: Delivered stable sorting for pulse groups and photon propagation by pulse ID in XENONnT/fuse, implementing deterministic ordering via strax.stable_sort and strax.stable_argsort. This work, tied to commit ed639219fd80473ae4f9ce7cc1477139aff30316 (Daq photon sorting #297), improves data integrity for photon and pulse-group analyses and enables reproducible results across runs. No major bugs fixed this month; the focus was on reliability and traceability of the data processing pipeline. Technologies demonstrated include Python, Strax sorting utilities, and Git-based traceability.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Algorithm ImplementationData ProcessingScientific Computing

Repositories Contributed To

1 repo

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

XENONnT/fuse

Apr 2025 Apr 2025
1 Month active

Languages Used

Python

Technical Skills

Algorithm ImplementationData ProcessingScientific Computing