RUBIES: A spectroscopic census of little red dots
Hviding RE, de Graaff A, Miller TB, Setton DJ, Greene JE, Labbé I, Brammer G, Bezanson R, Boogaard LA, Cleri NJ, Leja J, Maseda MV, McConachie I, Matthee JJ, Naidu RP, Oesch PA, Wang B, Whitaker KE, Williams CC. 2025. RUBIES: A spectroscopic census of little red dots. Astronomy & Astrophysics. 702, A57.
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Author
Hviding, Raphael E.;
de Graaff, Anna;
Miller, Tim B.;
Setton, David J.;
Greene, Jenny E.;
Labbé, Ivo;
Brammer, Gabriel;
Bezanson, Rachel;
Boogaard, Leindert A.;
Cleri, Nikko J.;
Leja, Joel;
Maseda, Michael V.
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All
Department
Abstract
The physical nature of little red dots (LRDs), a population of compact red galaxies revealed by JWST, remains unclear. Photometric samples were constructed from varying selection criteria with limited spectroscopic follow-up available to test intrinsic spectral shapes and the prevalence of broad emission lines. We used the RUBIES survey, a large spectroscopic program with wide color-morphology coverage and homogeneous data quality, to systematically analyze the emission-line kinematics, spectral shapes, and morphologies of ∼1500 galaxies at <jats:italic>z</jats:italic> > 3.1. We identified broad Balmer lines via a novel fitting approach that simultaneously models NIRSpec/PRISM and G395M spectra, yielding 80 broad-line sources with 28 (35%) at <jats:italic>z</jats:italic> > 6. A large subpopulation naturally emerged from the broad Balmer line sources, with 36 exhibiting v-shaped UV-to-optical continua and a dominant point source component in the rest-optical; we define these as spectroscopic LRDs, constituting the largest such sample to date. Strikingly, the spectroscopic LRD population is largely recovered when either a broad line or rest-optical point source is required in combination with a v-shaped continuum, suggesting an inherent link between these three defining characteristics. We compared the spectroscopic LRD sample to published photometric searches. Although these selections have high accuracy, 80%−95% down to F444W < 26.5, only 50%−80% of the RUBIES LRDs were photometrically identified, depending on the selection criteria used. The remainder were missed due to a mixture of faint rest-UV photometry, comparatively blue rest-optical colors, or highly uncertain photometric redshifts. Our findings highlight that well-selected spectroscopic campaigns are essential for robust LRD identification, while photometric criteria require refinement to capture the full population.
Publishing Year
Date Published
2025-10-01
Journal Title
Astronomy & Astrophysics
Publisher
EDP Sciences
Acknowledgement
Open access funding provided by Max Planck Society. We would like to thank the anonymous reviewer for their constructive comments which improved the final manuscript. REH acknowledges support by the German Aerospace Center (DLR) and the Federal Ministry for Economic Affairs and Energy (BMWi) through program 50OR2403 ‘RUBIES’. TBM was supported by a CIERA Postdoctoral Fellowship. This work used computing resources provided by Northwestern University and the Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA). This research was supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. Support for this work was provided by The Brinson Foundation through a Brinson Prize Fellowship grant. The Cosmic Dawn Center is funded by the Danish National Research Foundation (DNRF) under grant #140. This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI) under contract number MB22.00072, as well as from the Swiss National Science Foundation (SNSF) through project grant 200020_207349. Support for this work for RPN was provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51515.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. The work of CCW is supported by NOIRLab, which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The data products presented herein were retrieved from the Dawn JWST Archive (DJA). DJA is an initiative of the Cosmic Dawn Center (DAWN). This work is based in part on observations made with the NASA/ESA/CSA James Webb Space Telescope. The data were obtained from the Mikulski Archive for Space Telescopes at the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127 for JWST. These observations are associated with programs numbers 1345, 1837, 2234, 2279, 2514, 2750, 3990 and 4233. Support for program no. 4233 was provided by NASA through a grant from the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., under NASA contract NAS 5-03127. The authors acknowledge the CEERS, PRIMER, PANORAMIC, and BEACONS teams for developing their observing program with a zero-exclusive-access period. We acknowledge the use of the following software packages which were instrumental in the development of this work: Astropy Astropy Collaboration 2013, 2018, 2022, grizli Brammer 2023a, jax Bradbury et al. 2018, jwst Bushouse et al. 2022, LaTeX Lamport 1994, MatplotlibHunter 2007, msaexp Brammer 2023b, msafit de Graaff et al. 2024, NumPy Oliphant 2006; van der Walt et al. 2011; Harris et al. 2020, NumPyro Phan et al. 2019, photutils Bradley et al. 2024b, pysersic Pasha & Miller 2023, photutils Bradley et al. 2024a, sedpy Johnson 2021, Source-Extractor Bertin & Arnouts 1996, and unite Hviding 2025. This work makes use of color palettes created by Martin Krzywinski designed for colorblindness. The color palettes and more information can be found at http://mkweb.bcgsc.ca/colorblind/
Volume
702
Article Number
A57
ISSN
eISSN
IST-REx-ID
Cite this
Hviding RE, de Graaff A, Miller TB, et al. RUBIES: A spectroscopic census of little red dots. Astronomy & Astrophysics. 2025;702. doi:10.1051/0004-6361/202555816
Hviding, R. E., de Graaff, A., Miller, T. B., Setton, D. J., Greene, J. E., Labbé, I., … Williams, C. C. (2025). RUBIES: A spectroscopic census of little red dots. Astronomy & Astrophysics. EDP Sciences. https://doi.org/10.1051/0004-6361/202555816
Hviding, Raphael E., Anna de Graaff, Tim B. Miller, David J. Setton, Jenny E. Greene, Ivo Labbé, Gabriel Brammer, et al. “RUBIES: A Spectroscopic Census of Little Red Dots.” Astronomy & Astrophysics. EDP Sciences, 2025. https://doi.org/10.1051/0004-6361/202555816.
R. E. Hviding et al., “RUBIES: A spectroscopic census of little red dots,” Astronomy & Astrophysics, vol. 702. EDP Sciences, 2025.
Hviding RE, de Graaff A, Miller TB, Setton DJ, Greene JE, Labbé I, Brammer G, Bezanson R, Boogaard LA, Cleri NJ, Leja J, Maseda MV, McConachie I, Matthee JJ, Naidu RP, Oesch PA, Wang B, Whitaker KE, Williams CC. 2025. RUBIES: A spectroscopic census of little red dots. Astronomy & Astrophysics. 702, A57.
Hviding, Raphael E., et al. “RUBIES: A Spectroscopic Census of Little Red Dots.” Astronomy & Astrophysics, vol. 702, A57, EDP Sciences, 2025, doi:10.1051/0004-6361/202555816.
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