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This data set is an output of a simulation of electrons and pions shot at a chunk of an imaging calorimeter. It is used in the case study for GarNet-on-FPGA, documented in arXiv:2008.03601. Each HDF5 file contains the following arrays: Name | Shape | Description cluster | (10000, 128, 4) | Samples for training and inference. Outermost dimension is the event (cluster). Each cluster has maximum 128 hits, each of which has four features: x, y, z, and energy. The coordinates of the hits are in cm. The energy is in GeV. The x and y coordinates are relative to the seed hit, while the z coordinate is with respect to the calorimeter front face. size | (10000) | Number of hits in each cluster. The cluster array is zero-padded when the cluster size is below 128. truth_pid | (10000) | Identity of the primary particle (0: electron, 1: pion). truth_energy | (10000) | True energy of the primary particle. raw | (10000, 4375, 2) | Raw data (actual output of the simulation). For each event (outermost dimension), hit energy and primary fraction (innermost dimension indices 0 and 1) are given for each of the 4375 sensors. Energy is in MeV. coordinates | (4375, 3) | The x, y, and z coordinates of the 4375 sensors, to be used to interpret the raw data. See the paper for the details of the simulation.
Imaging calorimeter, Particle reconstruction, Fast inference, Graph neural network, Particle identification
Imaging calorimeter, Particle reconstruction, Fast inference, Graph neural network, Particle identification
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