Reduced-Order Model of Time-Projection Chamber

<p>These datasets are generated by a <strong>reduced-order model (ROM) of the sPHENIX Time-projection chamber (TPC)</strong>, inner layer group. We have two datasets:</p> <ol> <li>`dataset.zip` and</li> <li>`dataset_with_label.zip`.</li> </ol> <p>Each dataset contains 8000 training examples and 2000 test examples. Each sample in the dataset contains ~50 to 100 trajectories. Samples in both dataset contain fields: `response`, `tracks`, and `params `. Samples in the `dataset_with_label.zip` has an additional field `label`.&nbsp;</p> <p>Here are the description of fields:</p> <ul> <li>`response` (shared): float tensor of shape (16, 256, 1152) in radial (layer), axial (horizontal), and azimuthal directions.&nbsp;</li> <li>`tracks` (shared): float tensor of shape (N, 2, 16), where N is the number of trajectories. Each trajectory is recorded as a tensor of shape (2, 16). The two numbers for each layer (last axis) is the angle (in the azimuthal direction) and axial location of the trajectory.&nbsp;</li> <li>`params` (shared): float tensor of shape (N, 4). The four numbers for the n-th entry are initial momentum (3D) and mass-charge ratio (scalar) of the particle that generates the n-th trajectory.</li> <li>`label` (`dataset_with_label` only): integer tensor of shape (16, 256, 1152), the value for voxels <strong>with positive response</strong> is the trajectory id that contribute the most to the voxel. The value for voxels with zero response is random and should not be used.</li> </ul>