Physics & Spacearticle2026-10-28

Rubin Observatory Reveals a Dust-shrouded Halo Globular Cluster in Ophiuchus

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Abstract

Abstract We present the discovery of the Milky Way satellite Rubin-GC1 (Rubin J1628−1735) using data from the NSF-DOE Vera C. Rubin Observatory’s Early Data Preview 2. The system was discovered in the direction of the Galactic bulge with ( l , b ) ∼ (359°, 21°) in a region of high stellar density and a foreground reddening of E ( B − V ) ≈ 0.7. We simultaneously fit the morphology and isochrone parameters of Rubin-GC1, determining that it is a faint ( M V = − 2 . 4 − 0.7 + 0.5 ) and compact ( r 1 / 2 = 5 − 1 + 1 pc) Milky Way satellite at a distance of D ⊙ = 3 1 − 3 + 3 kpc; its stellar population is intermediate-age ( τ = 9 . 2 − 0.7 + 1.2 Gyr) and moderately metal-rich ( [ Fe / H ] iso = − 0.7 3 − 0.04 + 0.04 ). Together, these properties suggest Rubin-GC1 is most likely a star cluster in the faint tail of the luminosity function of globular clusters surrounding the Milky Way. We identify a distinct proper motion signature from Rubin-GC1 in Gaia DR3, and from a comparison of the system’s 5D phase space information to N -body models of the Sagittarius dwarf spheroidal galaxy’s tidal stream, we determine that Rubin-GC1 is likely an accreted cluster associated with the Sagittarius leading arm. The discovery of Rubin-GC1 highlights the potential of Rubin to uncover faint, resolved satellites in dust-shrouded regions of the Milky Way, including remnants of the accretion events that have shaped the Galaxy’s hierarchical assembly.

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View paper (DOI)Open access versionOpenAlexThe Astrophysical Journal LettersPublished 2026-10-28

Authors: Aashay Pai, W. Cerny, Andrew B. Pace, A. Drlica-Wagner, P. S. Ferguson, Marla Geha, Chin Yi Tan, S. Campana, Burçı̇n Mutlu-Pakdı̇l, Alexander H. Riley, Nora Shipp, Guy S. Stringfellow

Institutions: University of Chicago, University of Washington, University of Virginia, Université Grenoble Alpes, Yale University, Dartmouth College, University of Colorado Boulder, Lund University, Fermi National Accelerator Laboratory, NSF-Simons AI Institute for the Sky