Gamma Ray Classification

This research paper is in this domain of physics, specifically using Artificial intelligence (AI) to classify high-energy Gamma particles as background or signal. I was able to create an AI model to classify these gamma particles with high accuracy. I was able to accomplish this by using a wide range of data, from the MAGIC Gamma Telescope Dataset, which consists of key features, to construct a model.

The focus of this research project is to be able to classify high-energy gamma particles as signal or background. It is important to solve this issue, as it allows us to explore phenomenas that we are unable to see on Earth. High energy gamma particles are also a major part of particle physics. Research in particle physics has helped us in the world of medicine, in drug development, along with exploring more about matter that makes up our world. I created a model that classifies a particle as signal or background based on given test features that I was able to get from the NASA MAGIC Gamma Telescope experiment. This was accomplished by creating an ML model and following the process of training, predicting, and evaluating to test various models. I found the accuracy score of the model, created a confusion matrix, and calculated the f1 score for all the models. For the final model, I got an accuracy score of 88.44% and an f1 score of about 0.883, allowing me to finally find a model that classifies the high energy gamma particles with the highest accuracy.

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Research Paper