ntokens int64 | particles list | particles_in list | max_energy float64 | cutoff_mev float64 | cond_scalars list |
|---|---|---|---|---|---|
27 | [
-211,
-14,
-11,
11,
12,
13,
14,
22,
211,
2112,
2212
] | [
-11,
11,
22
] | 300 | 10 | [
"Density",
"Z",
"A",
"Size"
] |
15 | [
-211,
-14,
-11,
11,
12,
14,
22,
211,
2112,
2212
] | [
-11,
11,
22
] | null | null | null |
17 | [
-211,
-14,
-13,
-11,
11,
12,
14,
22,
211,
2112,
2212
] | [
-11,
11,
22
] | 300 | 10 | null |
17 | [
-211,
-14,
-13,
-11,
11,
12,
14,
22,
211,
2112,
2212
] | [
-11,
11,
22
] | null | null | null |
Structure
Each dataset folder contains: a pickle file data_prepped.pt with a data tensor, a meta.json file with meta data, a gen.py script that was used to generate the data.
Current Datasets
rp_20M_cu_130426:
- 1 cm edge length copper cube
- random position and momentum direction
- incoming energy 20 MeV to 300 MeV
- incoming particles gamma, e-, e+
- density 0.5 to 10 g/cm3
rp_lqar_full_er_260526:
- 10 cm edge length liquid argon cube
- random position and momentum direction
- incoming energy 10 MeV to 300 MeV
- incoming particles gamma, e-, e+
- density 0.5 to 10 g/cm3
- Downloads last month
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