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Limited data storage capability is a large obstacle for saving data in high energy particle physics. One method of partially circumventing these limitations, is trigger level analysis (TLA) as used by the ATLAS experiment. The efficiency of TLA can be further increased by doing effective data compression. One class of artificial neural networks are called autoencoders, which may be used for data
