Mu2e Tracker Construction Software

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Python-SQL data collection applications for the Mu2e tracker construction at UMN

During the several years that our lab at UMN was building the Mu2e tracking detector, I developed and maintained several python apps to collect, manage, and analyze construction metadata, as well as guide our many student technicians through construction of a single detector module.

We had to track tens of thousands of straws and many other components through every step. All the data was fed into a SQL database, and jupyter notebooks and pandas scripts analyzed the data for rapid problem solving and projcess improvements.

Check it out on GitHub.

Example labbook frontend

Database-viewer app

Pandas-Jupyter QA-QC analysis of panel leak rates

Straw batch ID by panel was useful when tracking down leaks
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