Fast Calorimeter Simulation Challenge 2022 - Dataset 3

<p>This is dataset 3 of the &ldquo;Fast Calorimeter Simulation Challenge 2022&rdquo;. It consists of four files with 50k GEANT4-simulated showers each of electrons with energies sampled from a log-uniform distribution ranging from 1 GeV to 1 TeV. The detector geometry is similar to dataset 2, but has a much higher granularity. Each of the 45 layer has now 18 radial and 50 angular bins, totalling 18x50x45=40500 voxels. This dataset was produced using the <a href="https://gitlab.cern.ch/geant4/geant4/-/tree/master/examples/extended/parameterisations/Par04">Par04 Geant4 example</a>.</p> <p>dataset_3_1.hdf5 and dataset_3_2.hdf5 should be used for training, dataset_3_3.hdf5 and dataset_3_4.hdf5 can be used as reference in the evaluation.</p> <p>More details, in particular helper scripts to parse the data and calculate and visualize basic high-level physics features, are available at&nbsp;<a href="https://calochallenge.github.io/homepage/">https://calochallenge.github.io/homepage/</a></p>