Fast Calorimeter Simulation Challenge 2022 - Dataset 2
Creators
- 1. INFN Rome 2
- 2. Hamburg University
- 3. Rutgers University
- 4. LBL, Berkeley
- 5. Geneva University
- 6. Warsaw, U. of Tech.
Description
This is dataset 2 of the “Fast Calorimeter Simulation Challenge 2022”. 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.
dataset_2_1.hdf5 should be used for training, dataset_2_2.hdf5 can be used as reference in the evaluation.
More details, in particular helper scripts to parse the data and calculate and visualize basic high-level physics features, are available at https://calochallenge.github.io/homepage/
Files
Files
(2.7 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:e590333e9a2da51b258288d74bd8357a
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1.4 GB | Download |
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md5:7a56fd68aa53ded37c2ac445694d9736
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1.4 GB | Download |
Additional details
Related works
- Continues
- Dataset: 10.5281/zenodo.6234054 (DOI)
- Is continued by
- Dataset: 10.5281/zenodo.6366323 (DOI)
- Is described by
- https://calochallenge.github.io/homepage/ (URL)