Project Description
The Muon Track Reconstruction software is a sophisticated simulation and analysis tool designed for studying muon interactions with customizable drift tube arrays. This project showcases advanced skills in particle physics simulation, data analysis, and software development, combining complex algorithms with an intuitive user interface to provide researchers with a powerful tool for muon detection experiments.
Tech Stack Skills
Technologies used in the development of the project.
Python
PyQT5
PyQt Designer
Flask
Screenshot Project
Details
Name: Muon Track Reconstruction
Status: In Progress
Year: July 2024
Preview
Main Window
The main window of the Muon Track Reconstruction software serves as the central interface for setting up and running muon track simulations. It provides various input fields, controls, and visualisations to help users configure drift tubes, initiate simulations, and observe the results
Drift Tube Array Configuration
Each drift tube has their own data such as Timing Histogram, Coarse RT, Measure RT, True RT and Tube ID. All these can seen or accessed by pressing double click on the drift tube you want to see. Then a secondary window will pop up (This is the dtstauswindow). Where do you have all the information about that particular drift tube.
DT status window
The DT Status Window is a crucial part of the Muon Track Reconstruction software. It provides detailed information about the status of the particular drift tubes during the simulation process. This window allows users to monitor the current state of the drift tube, track counts, TrueRT, MeasureRt, CoarseRT and timing Histogram.
Project Board Trello
The Trello Board is integrated into this project section to provide a transparent view of the project's status and progress. If you have any suggestions or features you'd like to see added, please feel free to suggest for Trello board using the button below.
Note: The Trello board is updated occasionally and may not reflect the current status of the project.
Video Project
Contributers Project
Saikat Das
Scientfic Officer, BARC (Mentor)
Saravanakumar
Project Trainee, BARC