A pedestal-trained convolutional autoencoder identifies particle structures in CYGNO optical TPC images, retaining 93% of signal intensity while discarding 98% of the area at 25 ms per frame on a consumer GPU.
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Fast reconstruction-based ROI triggering via anomaly detection in the CYGNO optical TPC
A pedestal-trained convolutional autoencoder identifies particle structures in CYGNO optical TPC images, retaining 93% of signal intensity while discarding 98% of the area at 25 ms per frame on a consumer GPU.