Every nuclide
The INCOGNITA engine is a port of TALYS-2 (A. J. Koning, S. Hilaire, S. Goriely) and uses the TALYS nuclear-structure database. What INCOGNITA adds is listed, switch by switch, at the end of the teaching page.
Chart of nuclides
Drag to pan, scroll or pinch to zoom. Click a square to open it: the nuclide's details appear below the chart. Protons up, neutrons across.
The engine's predicted neutron cross sections for every nuclide in the library, beside every curated measurement behind them. Pick a nuclide on the chart, or search for one.
The curves are the v0.1 library (September 2026), built with an older engine: they are not the engine version or the TERRA candidate scored on the Scoreboard. Most nuclides are extrapolated (engine only). Where a nuclide is marked measured, its capture curve comes from a model trained on the measurements shown beside it, so agreement there is not a test.
Get these numbers yourself
Every curve and measured point for this nuclide, all reactions, with units, sources and EXFOR ids written into the file.
Run it yourself
Everything on this page comes from the open repository: the engine, the library and the curated measurements. You need Linux or macOS, Python 3.12 and uv.
git clone https://github.com/seth-michael-weaver/incognita.git && cd incognita
uv sync --extra dev
uv run python -m incognita.library summary # every nuclide by how it is known
uv run python -m incognita.library show Au-197 # one capture curve with its 68 / 95 % bandsRunning the engine itself also needs the TALYS structure database; the README explains how to fetch it.
Data access. Everything shown here is in the repository under library/v0.1: capture curves with 68 / 95 % bands (capture_v01_indep.parquet), Maxwellian averages (macs30_v01_indep.csv, macs_kt_v01_indep.csv), stellar rates (rates_v01_indep.csv, reaclib_v01_indep.dat) and the (n,2n), (n,p), (n,α) channels (channels_recipe_v01_indep.parquet, grid_np_v01_indep.parquet), checked by SHA256SUMS. For one nuclide, the CSV and JSON downloads above are enough. The curated measurements are in data/curation; they come from EXFOR (IAEA Nuclear Data Section) and keep their EXFOR ids. Library data are CC-BY-4.0.
seth-michael-weaver/incognita on GitHub →
Sources: predictions from the v0.1 library (library/v0.1); capture measurements from EXFOR as curated in data/curation; (n,2n), (n,p) and (n,α) measurements from the benchmark rows in incognita/bench. Measurements the curation excluded are hidden unless you ask for them. The optional dashed overlay of evaluated libraries (ENDF/B-VIII.1, JEFF-4.0, TENDL-2025) is built by scripts/build_site_overlay.py for display only; INCOGNITA never reads it.