Reconstructing the cosmic web
florpi
https://florpi.github.io/
IAIFI Fellow
Carol Cuesta-Lazaro
Victoria Ono, Core Francisco Park, Nayantara Mudur and Yueying Ni
1 to Many:
Galaxy distribution
Underlying Dark matter distribution ?
"Probabilistic Reconstruction of Dark Matter fields from galaxies using diffusion models"
arXiv:2311.08558
Core Francisco Park, Victoria Ono, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lazaro
A 2D animation of a folk music band composed of anthropomorphic autumn leaves, each playing traditional bluegrass instruments, amidst a rustic forest setting dappled with the soft light of a harvest moon
Maximize the likelihood of the training samples
Model
Training Samples
Generative Models 101
Trained Model
Generate Novel Samples
Evaluate probabilities
Anomaly detection, model comparison...
Reverse diffusion: Denoise previous step
Forward diffusion: Add Gaussian noise (fixed)
A person half Yoda half Gandalf
Diffusion Models
Truth
Sampled
Observed
~10-100 pc
Molecular clouds
where stars form
Hydro sims:
A matrioska of scales
~10-50 kpc
Galaxies
where clouds form
TNG50 ~50 Mpc
Cosmic web
(where galaxies form)
MXXL ~ 4 Gpc
Stay tuned: Huybrid ML simulators for the ISM
High Res Sim
Springel and Hernquist 03
Reconstructing cosmic web - Kavli 2024
By carol cuesta
Reconstructing cosmic web - Kavli 2024
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