Transformer-based models to fast-simulate the LHCb ECAL detector
Project description
Transformer-based models to fast-simulate the LHCb ECAL detector
Transformer
The Transformer architecture is freely inspired by Vaswani et al. [arXiv:1706.03762] and Dosovitskiy et al. [arXiv:2010.11929].
Discriminator
The Discriminator is implemented through the Deep Sets model proposed by Zaheer et al. [arXiv:1703.06114] and its architecture is freely inspired by what developed by the ATLAS Collaboration for flavor tagging [ATL-PHYS-PUB-2020-014].
Credits
Transformer implementation freely inspired by the TensorFlow tutorial Neural machine translation with a Transformer and Keras.
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