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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.

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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

  1. 1.Image Quality Assessment: 2,709 JWST images analyzed
  2. 2.Object Detection: YOLO model trained on astronomical objects
  3. 3.Photometric Analysis: 29,171 magnitude/flux measurements
  4. 4.Color Analysis: 110,576 color measurements
  5. 5.Spatial Analysis: 1,740 clusters identified
  6. 6.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

python
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:

bibtex
@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