You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

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 9,246 examples, built by autolabeling: transient positions are simulated, not observed. For each of the 7,093 host galaxies in h2f_delight_train, positions are drawn uniformly inside the elliptical footprint of its r-band Sérsic fit, truncated at 3·Re.

This is exactly how h2f_delight_autolabeling_1pct was built. The only difference is how many positions each galaxy gets, and that is what the radius_norm name refers to.

The rule

Bigger galaxies generate more examples:

n = max(1, round((Re / Re0) ** p))        Re0 = 12 arcsec,  p = 6

Re0 is the size at which a galaxy starts generating more than one example. Below it, a galaxy contributes exactly one. No galaxy is ever dropped: all 7,093 are present, and 96.9 % of them contribute a single example. Only 223 galaxies (3.1 %) contribute more, up to 82 for the largest one.

Why those numbers

The count of galaxies large enough to reach a given distance drops very fast: 2,912 reach 10 arcsec, 499 reach 30, and only 27 reach 60. Raising the count to a power compensates that drop, and p = 6 with Re0 = 12 is the pair that flattened the histogram best in a grid search over both.

They are not universal constants: they were fitted to the size distribution of this catalog and must be recomputed for a different survey.

Image format

image has shape (9246, 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},
}
Downloads last month
14