AI-Predicts-Particle-Collisions

The code uses TensorFlow to predict particle collision outcomes from a dataset of collision images, in pkl format. It outputs the results of the model at different train sample sizes to a csv file.

This csv file can be run with the R script to create scatterplots and histograms of the model's accuracy, allowing for easy analysis and presentation.

The model is supported by Python versions 3.9 and higher. The graphing-producing script is supported by R versions 4.2.1 and higher.

R Data Analysis folder

• Contains results from tests in csv file
• Contains Rmarkdown file with data analysis code

__pycache__ folder

• For implementing the quantum neural network

data folder

• Contains the particle collision images in pkl format

images folder

• Noteworthy images from our experiments

main.ipynb folder

• TensorFlow model code and experiment code for the particle collisions