norbertm/jwst-ultimate-survey
JWST Comprehensive Astronomical Survey Overview This dataset contains a comprehensive analysis of JWST (James Webb Space Telescope) data, including photometric measurements, color analysis, spatial distribution analysis, and external catalog cross-matching. Dataset Contents 1. Photometric Measurements (29,171 objects) Magnitudes and fluxes for all detected objects Multi-filter measurements across JWST filters Quality metrics and… See the full description on the dataset page: https://huggingface.co/datasets/norbertm/jwst-ultimate-survey.
JWST Comprehensive Astronomical Survey
Overview
This dataset contains a comprehensive analysis of JWST (James Webb Space Telescope) data, including photometric measurements, color analysis, spatial distribution analysis, and external catalog cross-matching.
Dataset Contents
1. Photometric Measurements (29,171 objects)
- Magnitudes and fluxes for all detected objects
- Multi-filter measurements across JWST filters
- Quality metrics and uncertainty estimates
- Aperture photometry results
2. Color Analysis (110,576 measurements)
- Color-magnitude diagrams for 6 filter combinations
- Flux ratios between different wavelengths
- Color distributions and statistical analysis
- Multi-wavelength correlations
3. Spatial Distribution Analysis (1,740 clusters)
- DBSCAN clustering results
- Density maps and spatial statistics
- Nearest neighbor analysis
- Cluster identification and characterization
4. External Cross-Matching (29,171 objects)
- Gaia catalog matches (86.6% match rate)
- SDSS catalog matches (71.3% match rate)
- Overall external match rate (96.3%)
- Proper coordinates (RA/Dec) for all objects
- Standardized astronomical catalog
Research Applications
Cosmology
- Large-scale structure studies
- Correlation function analysis
- Galaxy cluster identification
- Cosmic web mapping
Galaxy Evolution
- Environmental effects on galaxies
- Stellar population analysis
- Multi-wavelength studies
- Color-magnitude relationships
Multi-Wavelength Surveys
- Cross-catalog analysis
- Astrometric calibration
- Photometric validation
- Survey comparison studies
Technical Details
Processing Pipeline
- Image Quality Assessment: 2,709 JWST images analyzed
- Object Detection: YOLO model trained on astronomical objects
- Photometric Analysis: 29,171 magnitude/flux measurements
- Color Analysis: 110,576 color measurements
- Spatial Analysis: 1,740 clusters identified
- External Validation: 96.3% match rate with Gaia/SDSS
Quality Metrics
- Photometric accuracy: Validated against external catalogs
- Astrometric precision: 86.6% Gaia match rate
- Multi-wavelength consistency: 71.3% SDSS match rate
- Overall external validation: 96.3% match rate
- Spatial clustering: 1,740 clusters across 20 images
Usage
from datasets import load_dataset
# Load the complete dataset
dataset = load_dataset("norbertm/jwst-ultimate-survey")
# Access different components
photometric = dataset['photometric_measurements']
colors = dataset['color_analysis']
spatial = dataset['spatial_distribution']
cross_matching = dataset['cross_matching']
catalog = dataset['standardized_catalog']Citation
If you use this dataset in your research, please cite:
@dataset{jwst_ultimate_survey,
title={JWST Ultimate Astronomical Survey},
author={Your Name},
year={2024},
url={https://huggingface.co/datasets/norbertm/jwst-ultimate-survey}
}License
MIT License - see LICENSE file for details.
Acknowledgments
- JWST mission and data providers
- Gaia and SDSS survey teams
- Astronomical community for validation
