Teen Scientist Uncovers 1.5 Million Hidden Cosmic Objects in NEOWISE Data
A Pasadena high-school student, Matteo Paz, and Caltech researchers used an AI model called VARnet to scan NASA’s NEOWISE infrared sky data, processing about 200 billion detections to flag roughly 1.5 million variable-object candidates. The full catalog, to be published in 2025, could reveal new quasars, variable stars, and transient events, though many candidates will require follow-up observations to confirm their nature. The approach combines wavelet decomposition, irregular time-series analysis, and a convolutional neural network for classification, with potential applications beyond astronomy.
