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Add dataset card

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  1. README.md +39 -0
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+ ---
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+ pretty_name: jax-fli MAP and chain outputs
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+ license: mit
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+ language:
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+ - en
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+ tags:
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+ - cosmology
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+ - weak-lensing
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+ - field-level-inference
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+ - mcmc
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+ - healpix
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+ - jax
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # jax-fli MAP and chain outputs
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+
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+ Maximum a posteriori reconstructions and MCMC chains of the [`jax-fli`](https://github.com/DifferentiableUniverseInitiative/jax-fli) forward model: 2LPT on a spherical lightcone of capped equal-volume shells, Born convergence, and a pixel likelihood on two tomographic κ maps. The notebooks in [`docs/3-sampling-and-inference`](https://github.com/DifferentiableUniverseInitiative/jax-fli/tree/main/docs/3-sampling-and-inference) produced the runs, and experiment [`13-map-lpt2-mass-mapping`](https://github.com/DifferentiableUniverseInitiative/jax-fli/tree/main/docs/5-experiments/13-map-lpt2-mass-mapping) draws its figures from the MAP runs. The accuracy experiments are in [`ASKabalan/jax-fli-experiments`](https://huggingface.co/datasets/ASKabalan/jax-fli-experiments), and the scaling benchmarks in [`ASKabalan/jax-fli-scaling`](https://huggingface.co/datasets/ASKabalan/jax-fli-scaling).
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+
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+ | folder | content | produced by |
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+ |---|---|---|
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+ | `13-LPT-MassMapping/mesh_416_DES/` | MAP reconstruction of the initial conditions at 416³ from the κ maps of DES Y3 source bins 2 and 3 (1.48 galaxies/arcmin² per bin, σ_e = 0.26, 300 Adam steps) | notebook `14-LPT-MassMapping.ipynb`, Part I |
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+ | `13-LPT-MassMapping/mesh_416_EUCLID/` | the same reconstruction at Euclid IST:F noise (7.5 galaxies/arcmin² per bin, σ_e = 0.21 per component, 400 Adam steps) | notebook `14-LPT-MassMapping.ipynb`, Part II |
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+ | `14-LPT-Sampling/` | MCLMC chain over (Ω_c, σ₈) and the 128³ initial conditions (`chain/`), the cosmology chain with the initial conditions held fixed (`chain_fixed_ic/`, `chain_cosmology.npz`), the truth (`truth/`), the lensing-kernel projections of the samples (`projected_ic/`), summaries and figures | notebooks `16-LPT-FieldLevel-IC.ipynb` and `17-LPT-FieldLevel-Cosmology.ipynb` |
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+ | `15-inference-cosmogrid/truth/input_cg.parquet` | a CosmoGrid density field (832³ in a 900 Mpc/h box), the truth of the retired inference experiment `14-inference-cosmogrid-shear` | — |
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+
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+ Each MAP run holds the static truth (`true_ic`, `truth_kappa`, `observed_kappa`, `truth_density_lightcone`, `lattice_density_lightcone`), eleven log-spaced frames of the optimisation in each `*_evolution/` folder (IC, density lightcone, κ, and the coherence and transfer function of the IC and of κ against the truth), and `metrics.json`, `summary.json` and `loss_history.npz`. Every parquet is a serialised `jax_fli.io.Catalog`. The `chain/sampling_state/` and `chain_fixed_ic/warmup_state/` folders are Orbax checkpoints that resume the chains.
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+
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+ ```python
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+ from pathlib import Path
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+
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+ from huggingface_hub import snapshot_download
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+ from jax_fli.io import Catalog
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+
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+ REPO = "ASKabalan/jax-fli-sampling"
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+ root = Path(snapshot_download(REPO, repo_type="dataset", allow_patterns=["13-LPT-MassMapping/mesh_416_DES/*.parquet"]))
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+ truth_kappa = Catalog.from_parquet(str(root / "13-LPT-MassMapping/mesh_416_DES/truth_kappa.parquet")).field[0]
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+ ```