AstroPT Euclid: Imaging, Metadata, Models & Embeddings
Collection
A complete suite of Euclid Q1 galaxy data, metadata, pre-trained AstroPT models, and pre-computed embeddings for large-scale astronomical ML. • 8 items • Updated
Search is not available for this dataset
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End of preview. Expand in Data Studio
AstroPT Euclid Embeddings
Pre-computed embeddings from the AstroPT VIS+NISP+SED Model on Euclid dataset samples.
Overview
This repository contains pre-computed feature embeddings generated by AstroPT models applied to the Euclid Q1 galaxy dataset. These embeddings can be used for
- Efficient downstream task training (reduced computational cost)
- Feature analysis and visualization
- Similarity search and retrieval
- Clustering and unsupervised learning
- Fast fine-tuning on specialized tasks
Example notebooks are found in the AstroPT scripts
Available embeddings:
- VIS: Single-band embeddings from Euclid VIS imaging; VIS embeddings
- VIS+NISP: Multi-band embeddings from VIS + 3× NIR (Y, J, H); VIS+NISP embeddings
- VIS+NISP+SED: Multi-modal embeddings from imaging + 13-band photometry; VIS+NISP+SED embeddings
Quick Start
Load VIS+NSIP Embeddings
from datasets import load_dataset
# Load VIS embeddings
embeddings = load_dataset(
"msiudek/astroPT_euclid_VIS_NISP_SED_embeddings",
split="train",
streaming=True
)
# View a sample
sample = embeddings[0]
print(f"Object ID: {sample['object_id']}")
print(f"Embedding shape: {len(sample['embedding'])}")
print(f"Embedding: {sample['embedding']}")
Related Resources
Models:
Datasets:
- AstroPT Euclid Dataset: Original imaging + photometry
- AstroPT Euclid Metadata: Galaxy properties
Code:
- AstroPT GitHub: Training and inference code
Citation
@article{Siudek2025,
title={AstroPT: Astronomical Physics Transformers for Multi-modal Learning},
author={Siudek, M and others},
journal={Euclid Collaboration},
eprint={2503.15312},
archivePrefix={arXiv},
year={2025},
url={https://ui.adsabs.harvard.edu/abs/2025arXiv250315312E/abstract}
}
License
CC-BY-4.0
Last Updated: December 2025
Embeddings Version: 1.0
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