Here I have done a chain of mini-projects to infer from the data that was generated by CERN. I have used several machine learning algorithms depending upon the type of data and the type of inference we want to make.
Each of the project has been explained with a seperate readme and the proper visualization and everything is done inside the jupyter notebooks to understand the essence of what I did in each one of the projects.
| Project Name | Description | Notebook |
|---|---|---|
| Z-Boson mass measurement | Computing the mass of Z-boson |
|
| Particle Identification | Identify the type of atomic/subatomic particle |
|
| Search for rare decay | To find the evidence of rare decay |
|
| Searching for electromagnetic showers | Develop a model identifying basetracks of electronic magnetic showers |
|
| Detector Optimization | Improve the conventional tracking systems using gaussian process |
|