The edge-on Galaxies in the Pan-STARRS survey (EGIPS)

Abstract

We present a catalogue of 16,551 edge-on galaxies created using the public DR2 data of the Pan-STARRS survey. The catalogue covers the three quarters of the sky above Dec. = −30○. The galaxies were selected using a convolutional neural network, trained on a sample of edge-on galaxies identified earlier in the SDSS survey. This approach allows us to dramatically improve the quality of the candidate selection and perform a thorough visual inspection in a reasonable amount of time. The catalogue provides homogeneous information on astrometry, SExtractor photometry, and non-parametric morphological statistics of the galaxies. The photometry is reliably for objects in the 13.8–17.4 r-band magnitude range. According to the HyperLeda database, redshifts are known for about 63 percent of the galaxies in the catalogue. Our sample is well separated into the red sequence and blue cloud galaxy populations. The edge-on galaxies of the red sequence are systematically Δ(g − i) ≈ 0.1 mag redder than galaxies oriented at an arbitrary angle to the observer. We found a variation of the galaxy thickness with the galaxy colour. The red sequence galaxies are thicker than the galaxies of the blue cloud. In the blue cloud, on average, thinner galaxies turn out to be bluer. In the future, based on this catalogue it is intended to explore the three-dimensional structure of galaxies of different morphologies, as well as to study the scaling relations for discs and bulges.

Comparing the Structural Parameters of the Milky Way to Other Spiral Galaxies

“…Further study in this area could include comparing other structural parameters of the Milky Way, such as the dust disk mass, to other galaxies. Additionally, as further galaxy data are gathered from databases such as RCSEDv2 4 (Chilingarian & Zolotukhin 2012;Chilingarian et al 2017), larger sample sizes (for example, using the recent EGIPS catalog of edge-on galaxies, Makarov et al 2022) would help give more accurate comparisons for all of the analyses performed in this paper.…”

Siena Galaxy Atlas 2020

“…For example, regions of the sky that have been imaged by the SDSS (Strauss et al 2002;Blanton et al 2011) or DES (Dark Energy Survey Collaboration et al 2016;Abbott et al 2021) have uniform, deep optical imaging (μ r,50 < 24.5 and μ r < 25.6 mag arcsec −2 in the SDSS and DES, respectively, where μ r,50 is the r-band half-light surface brightness, and the DES surface brightness is measured in a 1 95 diameter aperture), but these surveys cover just 34% (SDSS; 14,000 deg 2 ) and 12% (DES; 5000 deg 2 ) of the sky. Other optical and near-infrared surveys like 2MASS (Jarrett et al 2000;Skrutskie et al 2006) and Pan-STARRS1 (PS1; Chambers et al 2016) cover all or nearly all of the sky (100% and 75% for 2MASS and PS1, respectively); however, 2MASS is relatively shallow compared to these other surveys (μ r ≈ 22.7 mag arcsec −2 assuming a median r − K s ≈ 2.7 color for low-redshift galaxies; Jarrett et al 2019) while the photometry of bright, large angular-diameter galaxies in PS1 is known to be problematic (Magnier et al 2020;Makarov et al 2022). In other words, it is difficult to fully assess the incompleteness of the SGA-2020 given the variations in the completeness of the surveys that contribute to HyperLeda.…”

Color Transformations of Photometric Measurements of Galaxies in Optical and Near-infrared Wide-field Imaging Surveys*

“…This is noticeable not only by the dependence between residuals and sizes, but also by the red sequence-it has a correct slope and is tight only for spatially unresolved objects. Further investigations are needed to fully understand the sources of this systematics, but it will likely be improved when using a different source extraction software (see e.g., Makarov et al 2022, for an application of SOURCE EXTRACTOR to PanSTARRS data).…”