ATLAS Researchers Explore Novel Phenomena with Anomaly Detection via Unsupervised Machine Learning

Since its inception in 2009, the Large Hadron Collider (LHC) has been a pioneering tool for scientific exploration, seeking to uncover particles and phenomena that extend beyond the boundaries of the Standard Model. However, traditional methods of searching for new physics involve intricate computer simulations to match observed collision data with the predictions of the […]

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