Published May 9, 2017 | Version v1
Dataset Open

Electromagnetic Calorimeter Shower Images

  • 1. Lawrence Berkeley National Laboratory
  • 2. Yale University

Description

Each HDF5 file has the following structure:

energy    Dataset {100000, 1}
layer_0   Dataset {100000, 3, 96}
layer_1   Dataset {100000, 12, 12}
layer_2   Dataset {100000, 12, 6}
overflow  Dataset {100000, 3}

In practice, each file is a collection of 100,000 calorimeter showers corresponding to the particle specified in the file name (eplus = positrons, gamma = photons, piplus = charged pions).

The calorimeter we built is segmented longitudinally into three layer with different depths and granularities. In units of mm, the three layers have the following (eta, phi, z) dimensions:
Layer 0: (5, 160, 90) | Layer 1: (40, 40, 347) | Layer 2: (80, 40, 43)

In the HDF5 files, the `energy` entry specifies the true energy of the incoming particle in units of GeV. `layer_0`, `layer_1`, and `layer_2` represents the energy deposited in each layer of the calorimeter in an image data format. Given the segmentation of each calorimeter layer, these images have dimensions 3x96 (in layer 0), 12x12 (in layer 1), and 12x6 (in layer 3). The `overflow` contains the amount of energy that was deposited outside of the calorimeter section we are considering.

Files

Files (1.2 GB)

Name Size Download all
md5:9045a17be0173dac191a84d76f7aa555
406.4 MB Download
md5:d82509c42acdf3eccd50e947d666588c
406.4 MB Download
md5:e7076eeda3c92450074f6a9dd119fde0
406.4 MB Download

Additional details

Related works

Is compiled by
https://github.com/hep-lbdl/CaloGAN (URL)
Is referenced by
arXiv:1705.02355 (arXiv)

References

  • Paganini, Michela et al. (2017). Training dataset associated to arXiv:1705.02355.