COOL-LAMPS. VII. Quantifying Strong-lens Scaling Relations with 177 Cluster-scale Strong Gravitational Lenses in DECaLS
astro-ph.GA
/ Authors
Simon D. Mork, Michael D. Gladders, Gourav Khullar, Keren Sharon, Nathalie Chicoine, Aidan P. Cloonan, Håkon Dahle, Diego Garza, Rowen Glusman, Katya Gozman
and 20 more authors
Gabriela Horwath, Benjamin C. Levine, Olina Liang, Daniel Mahronic, Viraj Manwadkar, Michael N. Martinez, Alexandra Masegian, Owen S. Matthews Acuña, Kaiya Merz, Yue Pan, Jorge A. Sanchez, Isaac Sierra, Daniel J. Kavin Stein, Ezra Sukay, Marcos Tamargo-Arizmendi, Kiyan Tavangar, Ruoyang Tu, Grace Wagner, Erik A. Zaborowski, Yunchong Zhang
/ Abstract
We estimate the Einstein-radius-enclosed total mass for 177 cluster-scale strong gravitational lenses identified by the ChicagO Optically selected Lenses Located At the Margins of Public Surveys (COOL-LAMPS) collaboration with lens redshifts ranging from $0.2 \lessapprox z \lessapprox 1.0$ using the brightest-cluster-galaxy (BCG) redshift and an observable proxy for the Einstein radius. We constrain the Einstein-radius-enclosed luminosity and stellar mass by fitting parametric spectral energy distributions to aperture photometry from the Dark Energy Camera Legacy Survey in the $g$-, $r$-, and $z$-band Dark Energy Camera filters. We find that the BCG redshift, enclosed total mass, and enclosed luminosity are strongly correlated and well described by a planar relationship in 3D space. We find that the enclosed total mass and stellar mass are correlated with a logarithmic slope of $0.500^{+0.029}_{-0.031}$, and the enclosed total mass and stellar-to-total mass fraction are correlated with a logarithmic slope of $-0.495^{+0.032}_{-0.033}$. In tandem with the small radii within which these slopes are constrained, this may suggest invariance in baryon conversion efficiency and feedback strength as a function of cluster-centric radii in galaxy clusters. Additionally, the correlations described here should have utility in ranking strong-lensing candidates in upcoming imaging surveys -- such as Rubin/Legacy Survey of Space and Time -- in which an algorithmic treatment of strong lenses will be needed due to the sheer volume of data these surveys will produce.