PRISM-Astro/h2f_delight_autolabeling_1pct

Description

This is the dataset from DELIGHT [1], a model that locates the host galaxy of a transient from multi-resolution images. The difference with the original is that the images are not the cutouts used in the paper: they were regenerated from hips2fits (PanSTARRS DR1 HiPS, served by CDS).

It contains 535,743 examples, built by autolabeling: transient positions are simulated, not observed. For each of the 7,350 host galaxies in h2f_delight_train, positions are drawn uniformly inside the elliptical footprint of its r-band Sérsic fit, truncated at 3·Re. The number of draws per galaxy is ceil(profile_area_in_pixels * 0.01), with a minimum of one, which yields 72.89 examples per galaxy on average.

Every cutout is centered on the simulated transient position, and the host_pos label is the offset from there to the host galaxy. The fold column is inherited from h2f_delight_train, so the 5-fold cross-validation split is preserved and no host galaxy leaks between training and validation.

Image format

image has shape (535743, 5, 1, 30, 30), which maps to (examples, resolution levels, photometric bands, height, width). Only the r band was downloaded, hence the size-1 band dimension.

Columns

Column	Type	Description
Image and label
image	(5,1,30,30) float32	Multi-resolution PanSTARRS r-band cutout, centered on the simulated transient position.
host_pos	float32 × 2	Offset [x, y] from the simulated transient to the host galaxy, in level-0 pixels.
Identification
oid	string	Identifier of the real transient this galaxy came from. Repeats across the draws of the same galaxy.
host_name	string	Catalog name of the host galaxy.
Host galaxy
host_redshift	float64	Redshift of the host; NaN when unknown.
hostsize	float64	Angular size of the host galaxy from the catalog.
host_ra	float64	Right ascension of the host, in degrees.
host_dec	float64	Declination of the host, in degrees.
Real transient position
meanra	float64	Mean right ascension of the real transient, in degrees. Not the center of this cutout.
meandec	float64	Mean declination of the real transient, in degrees. Not the center of this cutout.
sn_ra	float64	Right ascension of the real supernova, in degrees.
sn_dec	float64	Declination of the real supernova, in degrees.
Sérsic fit — r band, from CasJobs
rSerRadius	float64	Effective radius Re of the r-band Sérsic fit, in arcsec. Defines the sampling region.
rSerMag	float64	Magnitude of the r-band Sérsic fit.
rSerAb	float64	Axis ratio b/a of the fitted ellipse, between 0 and 1. Defines the sampling region.
rSerPhi	float64	Position angle of the fitted ellipse, in degrees. Defines the sampling region.
rSerRa	float64	Right ascension of the Sérsic fit center, in degrees.
rSerDec	float64	Declination of the Sérsic fit center, in degrees.
Cross-validation
fold	int64	Cross-validation fold, from 1 to 5, inherited from the source galaxy.

References

[1] Förster, F., Muñoz Arancibia, A. M., Reyes-Jainaga, I., et al. 2022, DELIGHT: Deep Learning Identification of Galaxy Hosts of Transients using Multiresolution Images, The Astronomical Journal, 164, 195. doi:10.3847/1538-3881/ac912a

@article{Forster_2022,
  doi = {10.3847/1538-3881/ac912a},
  url = {https://doi.org/10.3847/1538-3881/ac912a},
  year = {2022},
  month = {oct},
  publisher = {The American Astronomical Society},
  volume = {164},
  number = {5},
  pages = {195},
  author = {F\"orster, Francisco and Mu\~noz Arancibia, Alejandra M. and Reyes-Jainaga, Ignacio and Gagliano, Alexander and Britt, Dylan and Cuellar-Carrillo, Sara and Figueroa-Tapia, Felipe and Polzin, Ava and Yousef, Yara and Arredondo, Javier and Rodr\'iguez-Mancini, Diego and Correa-Orellana, Javier and Bayo, Amelia and Bauer, Franz E. and Catelan, M\'arcio and Cabrera-Vives, Guillermo and Dastidar, Raya and Est\'evez, Pablo A. and Pignata, Giuliano and Hern\'andez-Garc\'ia, Lorena and Huijse, Pablo and Reyes, Esteban and S\'anchez-S\'aez, Paula and Ram\'irez, Mauricio and Grand\'on, Daniela and Pineda-Garc\'ia, Jonathan and Chabour-Barra, Francisca and Silva-Farf\'an, Javier},
  title = {DELIGHT: Deep Learning Identification of Galaxy Hosts of Transients using Multiresolution Images},
  journal = {The Astronomical Journal},
}