GitHub - khwajawisal/Particle-Track-Reconstruction: Using Machine Learning to reconstruct trajectories of particles detected as hits by ATLAS experiment at LHC, Cern.

This is all sharad's work, I have just used his repo. and parts of it to improve my own implemenations. Current Progress:

Particle Physics and Quantum Mechanics:

Current Approach:

Classification of 2 hits as promising or not
Classification of a third promising hit
Reconstruction of the trajectory based on the three hits classified as promising

The current models are trained 1st step(i.e., classification of 2 hits as promising or not), since the same model can be extended in the second step
In the final step, the hits that are closest to the reconstructed trajectory will be selected

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
.ipynb_checkpoints		.ipynb_checkpoints
first_sub		first_sub
trackml-library		trackml-library
.gitignore		.gitignore
Exploration.ipynb		Exploration.ipynb
Forest.ipynb		Forest.ipynb
GradientBoostClassifiers.ipynb		GradientBoostClassifiers.ipynb
GradientBoostClassifiers.py		GradientBoostClassifiers.py
HDBSCANwithLeastSquaresfittingusingSVD.ipynb		HDBSCANwithLeastSquaresfittingusingSVD.ipynb
Logistic_test.py		Logistic_test.py
NN.py		NN.py
Problem description.ipynb		Problem description.ipynb
TrackML - 7th place documentation.pdf		TrackML - 7th place documentation.pdf
XGBoost.ipynb		XGBoost.ipynb
nn.ipynb		nn.ipynb
readme.md		readme.md

khwajawisal/Particle-Track-Reconstruction