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Lab of Computational Physics (module A) project
AY 2021/2022 University of Padua

Implementation and optimization of the mean-timer technique in drift tube detectors

Members of this group:

Group 1
Valenti Lorenzo
Barone Francesco Pio
Nagaro Gianmarco
Ninni Daniele

TODO

  • initialize project on VM
  • part 1
  • part 2
  • part 3
  • exam 20 gen 2022

file structure

├── bin    (python collections of useful functions)
├── doc
│   ├── NOTE2007_0034.pdf
│   └── project_assignment.ipynb     (the assignment of this project)
├── img   (for images)
└── tmp   (for temporary files)

 + part_1_data_selection.ipynb       (project)
 + part_2_meantimers.ipynb
 + part_3_meantimers.ipynb
 
 + run_262.ipynb                     (appendice)
 + run_333.ipynb
generic final project info

about final projects

In each of the branches of this repo you find all the necessary to complete your final project. In particular the file Project.ipynb describes the projects and provides guidance to its development. Other files could be present if needed.

Each branch is named after the group of students a given project is assigned to. The groups compositions are listed here

Students are supposed to work together to produce a short report on the assigned task. The preferred format for the latter is a jupyter notebook, with the proper description, the code implemented for the purpose and the actual results (plots, tables, etc.). The notebook has to be delivered with all the cells executed and should live in a GitHib repository. There is no need to make a pull request to the central repository.


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Analysis of drift tube detectors data using mean-timer technique

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