The Merian Survey: A Statistical Census of Bright Satellites of Milky Way Analogs
Yue Pan, Shany Danieli, Jenny E. Greene, Jiaxuan Li, Alexie Leauthaud, Erin Kado-Fong, Yifei Luo, Abby Mintz, Alyson Brooks, Song Huang, Annika H. G. Peter, Joy Bhattacharyya, Lee S. Kelvin
TL;DR
This work addresses how satellite populations around Milky Way analogs evolve within a $\Lambda$CDM framework by constructing a statistical census with the Merian Survey. It deploys two medium-band DECam filters centered on H$\alpha$ and [O III] to identify star-forming satellites around $\sim$400 MW-mass hosts in the narrow redshift window $0.07<z<0.09$, achieving photo-$z$ precision of $\sigma_{\Delta z/(1+z)} \approx 0.01$ and a completeness down to $M_{\star, {\rm sat}} \gtrsim 10^{8}\,M_\odot$. The study finds that about $80\%$ of hosts harbor $0$–$3$ massive satellites, with $13\pm4\%$ hosting two satellites, and reveals a positive correlation between satellite abundance and host stellar mass, particularly for satellites with $\log_{10}(M_{\star,\rm sat}/M_\odot) \gtrsim 10$. The completeness-corrected radial distribution is less centrally concentrated than an NFW profile, and the Milky Way system is more central than the 50% richest Merian systems but broadly aligns with the 50% most central Merian systems. Overall, the work demonstrates the efficacy of medium-band photometry for assembling large, distance-accurate satellite samples and provides a robust benchmark for studies of satellite quenching, environmental effects, and hierarchical galaxy formation.
Abstract
We present a statistical census of bright, star-forming satellite galaxies around Milky Way (MW) analogs using the first data release of the Merian Survey. Our sample consists of 393 MW analogs with stellar masses $10^{10.5} < M_{\star, \rm host} < 10^{10.9} M_\odot$ at redshifts $0.07 < z < 0.09$, all central galaxies of their own dark matter halos. Using photometric selection -- including magnitude, color, angular size, photometric redshift, and size-mass cuts -- we identify 793 satellite candidates around these 393 hosts. Our selection leverages two medium-band filters targeting H$α$ and [O \textsc{iii}] emission, enabling a nearly complete sample of star-forming, Magellanic Clouds-like satellites with $M_{\star, \rm sat} \gtrsim 10^{8} M_\odot$. We find that $\sim80\%$ of hosts have 0-3 massive satellites, and $13\pm4\%$ have two satellites (similar to the MW). Satellite abundance correlates with total stellar mass, and we provide significantly improved statistics for the most massive satellites at $\log_{10}[M_{\star, \rm sat}/M_{\odot}] \gtrsim 10$. The completeness-corrected radial distribution is less centrally concentrated than an NFW profile. In contrast, the Milky Way satellites are more centrally concentrated than the 50\% richest Merian systems, but are broadly consistent with the 50\% most centrally concentrated Merian systems. Our results highlight the power of medium-band photometry for satellite identification and provide a key benchmark for studying satellite quenching, environmental effects, and hierarchical galaxy formation.
