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Anomaly Detection

All articles tagged with #anomaly detection

physics1 year ago

"Uncovering Hidden Particles: Machine Learning and the Large Hadron Collider"

Scientists at the U.S. Department of Energy's Argonne National Laboratory used a neural network to analyze data from the Large Hadron Collider, aiming to uncover undiscovered particles not accounted for in the Standard Model of particle physics. The machine learning approach, known as anomaly detection, identified an anomaly in the data that could indicate the existence of an unknown particle. While further investigation is needed, this technique shows promise for uncovering new physics and will be applied to data collected during the LHC Run-3 period.

science-and-technology2 years ago

Uncovering Alien Life through Anomaly Detection and Exoplanet Observations

Researchers at ATLAS have proposed a novel framework for analyzing collision data from the Large Hadron Collider (LHC) using unsupervised machine learning techniques. The framework utilizes an autoencoder neural network to identify anomalies in the data that could indicate new physics phenomena. Unlike traditional methods that rely on predefined models and simulations, this approach is model-agnostic and free from preconceived expectations. By focusing on these anomalies, scientists can potentially uncover unexpected phenomena that elude conventional methods and expand our understanding of the universe.