Datasets:

msiudek
/

astroPT_euclid_metadata

object_id int64	right_ascension float64	declination float64	segmentation_area int64	flux_h_sersic float64	flux_vis_sersic float64	ellipticity float64	kron_radius float64	segmentation_map_id int64	VIS_name string	flux_detection_total float64	flux_vis_4fwhm_aper float64	flux_vis_3fwhm_aper float64	flux_vis_2fwhm_aper float64	flux_vis_1fwhm_aper float64	det_quality_flag int64	mumax_minus_mag float64	smooth_or_featured_smooth float64	smooth_or_featured_featured_or_disk float64	smooth_or_featured_artifact_star_zoom int64	disk_edge_on_yes float64	disk_edge_on_no float64	bar_strong float64	bar_weak float64	bar_no float64	sersic_sersic_vis_radius float64	sersic_sersic_vis_index float64	sersic_sersic_vis_axis_ratio float64	flag_vis int64	mu_max float64	flag_h int64	flag_j int64	flag_y int64	semimajor_axis float64	variable_flag int64	agn_no int64	agn_yes int64	asymmetry float64	bulge_size_dominant float64	clump_count_above_threshold int64	concentration float64	concentration_err float64	disk_sersic_angle int64	disk_sersic_disk_axis_ratio int64	disk_sersic_disk_radius int64	gini float64	gini_err int64	has_spiral_arms_no float64	has_spiral_arms_yes float64	how_rounded_cigar_shaped float64	how_rounded_completely int64	major_merger int64	major_merger_stage int64	merging_major_disturbance float64	merging_merger float64	merging_minor_disturbance float64	peculiar_no int64	peculiar_yes int64	ring_no int64	sersic_sersic_nir_axis_ratio float64	sersic_sersic_nir_axis_ratio_err float64	sersic_sersic_nir_index float64	sersic_sersic_nir_index_err float64	sersic_sersic_nir_radius float64	sersic_sersic_vis_index_err float64	smoothness float64	smoothness_err float64	flux_j_4fwhm_aper float64	flux_j_3fwhm_aper float64	flux_j_2fwhm_aper float64	flux_j_1fwhm_aper float64	flux_j_sersic float64	flux_h_4fwhm_aper float64	flux_h_3fwhm_aper float64	flux_h_2fwhm_aper float64	flux_h_1fwhm_aper float64	flux_y_4fwhm_aper float64	flux_y_3fwhm_aper float64	flux_y_2fwhm_aper float64	flux_y_1fwhm_aper float64	flux_y_sersic float64	error.euclid.code int16	error.init.code int16	error.classification.code int16	error.star.redshiftSolver.code int16	error.galaxy.redshiftSolver.code int16	error.qso.redshiftSolver.code int16	ContextWarningFlags int32	classification.WarningFlags int16	star.templateFittingSolveWarningFlags int16	galaxy.lineModelSolveWarningFlags int16	qso.templateFittingSolveWarningFlags int16	NbPixels int16	classification.Star_prob float64	classification.Gal_prob float64	classification.QSO_prob float64	classification.Type string	galaxy.Redshift float64	galaxy.RedshiftProba float64	galaxy.Reliability float64	star.Redshift float64	star.RedshiftProba float64	star.Reliability float32	qso.Redshift float64	qso.RedshiftProba float64	qso.Reliability float32	galaxy.ContinuumName string	galaxy.TplRatioTemplate string	EmVelocityDispersion float32	galaxy.Halpha.FittedLineAmplitude.0 float64	star.ContinuumName string	qso.ContinuumName string	galaxy.Halpha.LineFlux float64	galaxy.Halpha.ErrLineFlux float64	galaxy.Halpha.LineFWHM float64	galaxy.Halpha.LineSNR float64	galaxy.OII3727.LineFlux float64	galaxy.OII3727.ErrLineFlux float64	galaxy.OII3727.LineFWHM float64	galaxy.OII3727.LineSNR float64	galaxy.OIII4960.LineFlux null	galaxy.OIII4960.ErrLineFlux null	galaxy.OIII4960.LineFWHM null	galaxy.OIII4960.LineSNR null	galaxy.OIII5008.LineFlux float64	galaxy.OIII5008.ErrLineFlux float64	galaxy.OIII5008.LineFWHM float64	galaxy.OIII5008.LineSNR float64	galaxy.Hbeta.LineFlux float64	galaxy.Hbeta.ErrLineFlux float64	galaxy.Hbeta.LineFWHM float64	galaxy.Hbeta.LineSNR float64	galaxy.SIII9068.LineFlux float64	galaxy.SIII9068.ErrLineFlux float64	galaxy.SIII9068.LineFWHM float64	galaxy.SIII9068.LineSNR float64	galaxy.SIII9530.LineFlux float64	galaxy.SIII9530.ErrLineFlux float64	galaxy.SIII9530.LineFWHM float64	galaxy.SIII9530.LineSNR float64	SpectrumID int64	Redshift float64	phz_pp_median_redshift float64	phz_pp_median_stellarmass float64	phys_param_flags int64	phz_flags int64	phz_median float64	phz_mode_1 float64	phz_mode_2 float64	DESI_TARGETID int64	SURVEY string	PROGRAM string	HEALPIX int32	RA float64	DEC float64	COADD_FIBERSTATUS int32	Z float64	ZWARN int64	SPECTYPE string	Z_RR float64	FLUX_G float32	FLUX_R float32	FLUX_Z float32	FLUX_W1 float32	FLUX_W2 float32	FLUX_W3 float32	FLUX_W4 float32	FLUX_IVAR_G float32	FLUX_IVAR_R float32	FLUX_IVAR_Z float32	FLUX_IVAR_W1 float32	FLUX_IVAR_W2 float32	FLUX_IVAR_W3 float32	FLUX_IVAR_W4 float32	EBV float32	MW_TRANSMISSION_G float32	MW_TRANSMISSION_R float32	MW_TRANSMISSION_Z float32	MW_TRANSMISSION_W1 float32	MW_TRANSMISSION_W2 float32	MW_TRANSMISSION_W3 float32	MW_TRANSMISSION_W4 float32	CHI2 float64	LOGM float64	LOGM_ERR float64	LOGSFR float64	LOGSFR_ERR float64	AGNLUM float64	AGNFRAC float64	AGNPSY float64	LNU_U float64	LNU_G float64	LNU_R float64	LNU_I float64	LNU_Z float64	NUVR float64	RK float64	UV float64	VJ float64	GR float64	LNU_U_ERR float64	LNU_G_ERR 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AstroPT Euclid Metadata

Comprehensive morphological and physical properties catalog for ~300,000 Euclid bright and large galaxies, designed to pair with the astroPT_euclid_dataset imaging data.

Overview

This metadata catalog contains morphological parameters, physical properties, and spectroscopic redshifts for ~331,759 Euclid bright and large galaxies (HE < 22.5 & segmentation_area > 0) from the Euclid Q1 dataset. The catalog is specifically designed to complement the multi-band imaging dataset for the AstroPT framework, enabling multi-modal learning combining images and tabular properties.

Citation: Euclid Collaboration: Siudek, M et al. 2025 (arXiv:2503.15312)

Related Resources

Companion Imaging Dataset: astroPT_euclid_dataset

Multi-band imaging (VIS + 3× NIR)
13-band SED photometry
331,759 sources with matching object_ids

Framework: AstroPT GitHub Repository

Multi-modal learning framework
Pre-training and fine-tuning code
Example notebooks

Data Access & Citation

Metadata Repository: https://huggingface.co/datasets/msiudek/astroPT_euclid_metadata

Imaging Repository: https://huggingface.co/datasets/msiudek/astroPT_euclid_dataset

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}
}

Data License: CC-BY-4.0 Last Updated: December 2025
Metadata Version: 1.0
Euclid Release: Q1

Downloads last month: 11

Size of downloaded dataset files:

209 MB

Size of the auto-converted Parquet files:

209 MB

Number of rows:

331,759

Collection including msiudek/astroPT_euclid_metadata

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. • 9 items • Updated 8 days ago