Using Neural Nets for Opposite Side Flavour Tagging

Opposite-side flavour tagging of B mesons at the LHCb experiment

The calibration and performance of the opposite-side flavour tagging algorithms used for the measurements of time-dependent asymmetries at the LHCb experiment are described. The algorithms have been developed using simulated events and optimized and calibrated with B+→J/ψK+, B0→J/ψK∗0 and B0→D∗-μ+νμ decay modes with 0.37 fb-1 of data collected in pp collisions at [Formula: see text] during the ...

Measurement of Bd mixing using opposite-side flavor tagging

V. M. Abazov, B. Abbott, M. Abolins, B. S. Acharya, M. Adams, T. Adams, M. Agelou, E. Aguilo, S. H. Ahn, M. Ahsan, G. D. Alexeev, G. Alkhazov, A. Alton, G. Alverson, G. A. Alves, M. Anastasoaie, T. Andeen, S. Anderson, B. Andrieu, M. S. Anzelc, Y. Arnoud, M. Arov, A. Askew, B. Åsman, A. C. S. Assis Jesus, O. Atramentov, C. Autermann, C. Avila, C. Ay, F. Badaud, A. Baden, L. Bagby, B. Baldin, D....

Automatic Tagging Using Deep Convolutional Neural Networks

We present a content-based automatic music tagging algorithm using fully convolutional neural networks (FCNs). We evaluate different architectures consisting of 2D convolutional layers and subsampling layers only. In the experiments, we measure the AUC-ROC scores of the architectures with different complexities and input types using the MagnaTagATune dataset, where a 4-layer architecture shows ...

Segmentation of MR Images Using Neural Nets

A two tier system for MR image segmentation is proposed. The first stage involves probabilistically classifying the pixels of the input image based on second order grey level statistics obtained from the co-occurrence matrix. These probabilities then form the input to a multi-layer perceptron, allowing contextual constraints to be applied to local areas of the image thereby improving the spatia...

Investigating lexical access using neural nets