A BLSTM neural network trained on Monte Carlo ttbar events reconstructs top quark, W boson, and bottom quark momenta with agreement comparable to a chi2-fit benchmark on some observables, but worse on azimuthal angles and b-quark pT.
A likelihood-based reconstruction algorithm for top-quark pairs and the KLFitter framework,
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Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics
A BLSTM neural network trained on Monte Carlo ttbar events reconstructs top quark, W boson, and bottom quark momenta with agreement comparable to a chi2-fit benchmark on some observables, but worse on azimuthal angles and b-quark pT.