Flow-Based Surrogates for High-Dimensional Likelihoods in Experimental Neutrino Physics
Flow-based surrogates for high-dimensional likelihoods: GUNDAM-formatted near-detector pseudo-data and MC
Dataset of simulated neutrino-nucleus interactions formatted for GUNDAM and used in the Near Detector fit described in the paper, including FHC (neutrino) and RHC (antineutrino) pseudo-data and MC inputs. File-by-file details and usage instructions are provided in README.md.
Get it
| Location | Role | Host | Formats | Size |
|---|---|---|---|---|
| https://doi.org/10.5281/zenodo.21104523 | primary | Zenodo |
Metadata
| Creators | El Baz, Mathias ORCID; Giannessi, Lorenzo ORCID; Blanchet, Adrien ORCID (University of Geneva); Sanchez Nieto, Federico ORCID (University of Geneva) |
|---|---|
| Publisher | Zenodo |
| Published | 2026-07-03 |
| Licence | CC-BY-4.0 · terms |
| Access | Open |
| Data levels | Monte Carlo |
Uses
- Software gundam
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Curation
| Status | Curated (candidate: harvested, not reviewed · curated: reviewed metadata · verified: resource downloaded and checked against its paper) |
|---|---|
| Added | 2026-10-23 |
| Curator notes | • metadata harvested from the repository; tags and summary assigned by the curator from title and abstract |