target_Z int32 1 100 | target_A int32 1 255 | residual_Z int32 1 100 | residual_A int32 1 256 | state large_stringclasses 1
value | energy_MeV float64 0 150 | xs_mb float64 0 89.2B |
|---|---|---|---|---|---|---|
89 | 225 | 89 | 221 | 19.5 | 0.000633 | |
89 | 225 | 89 | 221 | 20 | 0.002094 | |
89 | 225 | 89 | 223 | 12.5 | 0.922497 | |
89 | 225 | 89 | 223 | 13 | 4.97209 | |
89 | 225 | 89 | 223 | 13.5 | 51.0171 | |
89 | 225 | 89 | 223 | 13.75 | 118.3766 | |
89 | 225 | 89 | 223 | 14 | 185.736 | |
89 | 225 | 89 | 223 | 14.25 | 282.1125 | |
89 | 225 | 89 | 223 | 14.5 | 378.489 | |
89 | 225 | 89 | 223 | 14.75 | 495.722 | |
89 | 225 | 89 | 223 | 15 | 612.955 | |
89 | 225 | 89 | 223 | 15.75 | 932.6105 | |
89 | 225 | 89 | 223 | 16 | 1,053.14 | |
89 | 225 | 89 | 223 | 16.25 | 1,138.75 | |
89 | 225 | 89 | 223 | 17 | 1,414.11 | |
89 | 225 | 89 | 223 | 17.5 | 1,535.92 | |
89 | 225 | 89 | 223 | 18 | 1,635.91 | |
89 | 225 | 89 | 223 | 20 | 1,870.87 | |
89 | 225 | 89 | 224 | 6.75 | 10.41282 | |
89 | 225 | 89 | 224 | 6.875 | 35.30481 | |
89 | 225 | 89 | 224 | 7 | 60.1968 | |
89 | 225 | 89 | 224 | 7.25 | 297.8059 | |
89 | 225 | 89 | 224 | 7.5 | 535.415 | |
89 | 225 | 89 | 224 | 8 | 1,103.1 | |
89 | 225 | 89 | 224 | 8.5 | 1,556.31 | |
89 | 225 | 89 | 224 | 9 | 1,884.89 | |
89 | 225 | 89 | 224 | 9.5 | 2,101.86 | |
89 | 225 | 89 | 224 | 10 | 2,245.8 | |
89 | 225 | 89 | 224 | 11.5 | 2,431.59 | |
89 | 225 | 89 | 224 | 13 | 2,479.81 | |
89 | 225 | 89 | 224 | 13.5 | 2,443.33 | |
89 | 225 | 89 | 224 | 14 | 2,315.47 | |
89 | 225 | 89 | 224 | 14.5 | 2,124.93 | |
89 | 225 | 89 | 224 | 15.5 | 1,689.01 | |
89 | 225 | 89 | 224 | 16.5 | 1,262.85 | |
89 | 225 | 89 | 224 | 17 | 1,062.64 | |
89 | 225 | 89 | 224 | 18 | 819.043 | |
89 | 225 | 89 | 224 | 18.5 | 752.686 | |
89 | 225 | 89 | 224 | 20 | 556.171 | |
89 | 225 | 89 | 226 | 0 | 2,010,784 | |
89 | 225 | 89 | 226 | 0 | 9,977.036 | |
89 | 225 | 89 | 226 | 0 | 10,032.04 | |
89 | 225 | 89 | 226 | 0 | 10,342.94 | |
89 | 225 | 89 | 226 | 0 | 11,040.83 | |
89 | 225 | 89 | 226 | 0 | 12,417.46 | |
89 | 225 | 89 | 226 | 0 | 13,817.16 | |
89 | 225 | 89 | 226 | 0 | 15,460.57 | |
89 | 225 | 89 | 226 | 0 | 17,926.19 | |
89 | 225 | 89 | 226 | 0 | 21,626.57 | |
89 | 225 | 89 | 226 | 0 | 30,938.32 | |
89 | 225 | 89 | 226 | 0 | 91,975.85 | |
89 | 225 | 89 | 226 | 0 | 125,460.9 | |
89 | 225 | 89 | 226 | 0 | 166,327.2 | |
89 | 225 | 89 | 226 | 0 | 208,269.5 | |
89 | 225 | 89 | 226 | 0 | 254,423.5 | |
89 | 225 | 89 | 226 | 0 | 290,927.8 | |
89 | 225 | 89 | 226 | 0 | 350,697.2 | |
89 | 225 | 89 | 226 | 0 | 418,746.2 | |
89 | 225 | 89 | 226 | 0 | 472,247 | |
89 | 225 | 89 | 226 | 0 | 525,890.9 | |
89 | 225 | 89 | 226 | 0 | 573,440.2 | |
89 | 225 | 89 | 226 | 0 | 602,980.1 | |
89 | 225 | 89 | 226 | 0 | 628,635.9 | |
89 | 225 | 89 | 226 | 0 | 644,427.4 | |
89 | 225 | 89 | 226 | 0.000007 | 165,941.9 | |
89 | 225 | 89 | 226 | 0.00007 | 49,316.04 | |
89 | 225 | 89 | 226 | 0.0003 | 21,985.81 | |
89 | 225 | 89 | 226 | 0.003 | 5,743.907 | |
89 | 225 | 89 | 226 | 0.007 | 3,621.37 | |
89 | 225 | 89 | 226 | 0.01 | 3,051 | |
89 | 225 | 89 | 226 | 0.02 | 2,307.08 | |
89 | 225 | 89 | 226 | 0.030074 | 2,016.7 | |
89 | 225 | 89 | 226 | 0.04027 | 1,746.65 | |
89 | 225 | 89 | 226 | 0.05 | 1,521.74 | |
89 | 225 | 89 | 226 | 0.06499 | 1,325.93 | |
89 | 225 | 89 | 226 | 0.077466 | 1,145 | |
89 | 225 | 89 | 226 | 0.1 | 968.915 | |
89 | 225 | 89 | 226 | 0.14 | 701.44 | |
89 | 225 | 89 | 226 | 0.17 | 598.009 | |
89 | 225 | 89 | 226 | 0.2 | 540.836 | |
89 | 225 | 89 | 226 | 0.25 | 428.179 | |
89 | 225 | 89 | 226 | 0.3 | 384.464 | |
89 | 225 | 89 | 226 | 0.4 | 303.599 | |
89 | 225 | 89 | 226 | 0.5 | 271.316 | |
89 | 225 | 89 | 226 | 0.6 | 233.625 | |
89 | 225 | 89 | 226 | 1.3 | 139.398 | |
89 | 225 | 89 | 226 | 1.5 | 124.557 | |
89 | 225 | 89 | 226 | 1.7 | 110.686 | |
89 | 225 | 89 | 226 | 2 | 91.1151 | |
89 | 225 | 89 | 226 | 2.2 | 79.0693 | |
89 | 225 | 89 | 226 | 2.4 | 68.0224 | |
89 | 225 | 89 | 226 | 2.6 | 58.0337 | |
89 | 225 | 89 | 226 | 3 | 41.3211 | |
89 | 225 | 89 | 226 | 3.5 | 26.0535 | |
89 | 225 | 89 | 226 | 4 | 15.9617 | |
89 | 225 | 89 | 226 | 4.5 | 9.60377 | |
89 | 225 | 89 | 226 | 5.5 | 3.88058 | |
89 | 225 | 89 | 226 | 6 | 2.72965 | |
89 | 225 | 89 | 226 | 6.5 | 2.06863 | |
89 | 225 | 89 | 226 | 7 | 1.72898 |
End of preview. Expand in Data Studio
nucl-parquet-data — NJOY-processed neutron cross sections
Per-isotope neutron cross-section shards for nucl-parquet, hosted here so consumers range-fetch one isotope at a time rather than downloading a monolith.
neutron/ — ENDF/B-VIII.0, NJOY-processed
- Source: OpenMC-processed ENDF/B-VIII.0 HDF5 (openmc-data-storage/ENDF-B-VIII.0-NNDC) — the pointwise data OpenMC / MCNP / Serpent transport on.
- Temperature: 294 K (Doppler-broadened).
- Coverage: 533 target isotopes, one shard each:
neutron/n_<Sym><A>.parquet(e.g.n_Nd143.parquet). - Channels: transmutation only — capture (MT 102) + threshold reactions (n,2n / n,3n / n,p / n,α / …). Elastic, inelastic-to-levels and fission are excluded.
- Schema:
target_Z, target_A, residual_Z, residual_A, state, energy_MeV, xs_mb. - Grid: dense NJOY pointwise grid thinned to ≤1 % log-log accuracy. Interpolate in log-log — the 1/v region is sparse, so nearest-point reads will over-read.
Unlike the raw-MF=3 ingestion in the main repo, these carry the full resolved/unresolved resonance region and the thermal point (e.g. Nd-143(n,γ) reaches 1e-5 eV, not 0.225 MeV).
Usage
import nucl_parquet
db = nucl_parquet.connect()
# Range-fetches just this isotope's shard from HF (cached under ~/.nucl-parquet/):
rel = nucl_parquet.neutron_xs(db, "Nd143", channel="capture")
Provenance and the pinned revision live in the main repo's data/catalog.json (endfb-8.0-njoy).
Built by scripts/build_neutron_njoy.py. See issue #263.
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