Fast Calorimeter Simulation Challenge 2022 - Dataset 2

<p>This is dataset 2 of the &ldquo;Fast Calorimeter Simulation Challenge 2022&rdquo;. It consists of two files with 100k GEANT4-simulated showers each of electrons with energies sampled from a log-uniform distribution ranging from 1 GeV to 1 TeV. The detector has a concentric cylinder geometry with 45 layers, where each layer consists of active (silicon) and passive (tungesten) material. Each layer has 144 readout cells, 9 in radial and 16 in angular direction, yielding a total of 9x16x45 = 6480 voxels.</p> <p>dataset_2_1.hdf5 should be used for training, dataset_2_2.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>