This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| stellar mass–halo mass relation | |
|---|---|
| Name | stellar mass–halo mass relation |
| Type | Astrophysical relation |
| Field | Astrophysics, Cosmology |
| Key people | James E. Gunn, Sandra Faber, Marc Davis, J. Richard Gott, Martin Rees |
| Related | Lambda Cold Dark Matter model, Dark matter halo, Galaxy formation |
stellar mass–halo mass relation The stellar mass–halo mass relation is an empirical correlation used in astrophysics and cosmology linking the stellar mass of a galaxy to the mass of its surrounding dark matter halo. It is central to studies by teams at institutions such as Harvard University, California Institute of Technology, Princeton University, University of Cambridge and projects like the Sloan Digital Sky Survey and the Hubble Space Telescope programs. This relation informs analyses by researchers associated with organizations including the European Southern Observatory, the Max Planck Society, and observatories such as Mauna Kea Observatories and the Atacama Large Millimeter/submillimeter Array.
The relation connects observables used by collaborations like the Sloan Digital Sky Survey and the Two Micron All Sky Survey to theoretical frameworks developed within the Lambda Cold Dark Matter model and formalism influenced by work at Princeton University and Imperial College London. Studies by groups affiliated with laboratories such as the Lawrence Berkeley National Laboratory and Los Alamos National Laboratory place it alongside methods from the Hubble Space Telescope Key Project and surveys by the European Space Agency. Influential researchers from institutions such as University of California, Berkeley and University of Oxford have established its role in connecting galaxy catalogs compiled by projects like the Dark Energy Survey and the Cosmic Evolution Survey.
Definitions used by researchers at California Institute of Technology and Yale University include stellar mass estimates from stellar population synthesis models calibrated against data from the Hubble Space Telescope and the Spitzer Space Telescope. Halo mass definitions derive from theoretical constructs developed at Cambridge University and in the literature influenced by James Peebles and P. J. E. Peebles frameworks. Observational efforts by teams at the European Southern Observatory and the National Radio Astronomy Observatory employ techniques such as weak gravitational lensing used in analyses by groups at Kavli Institute for Cosmology and the Max Planck Institute for Astrophysics, as well as satellite kinematics measured by collaborations at Princeton University and University of Chicago. Abundance matching approaches popularized by researchers at University of Washington and University of Michigan leverage halo mass functions from simulations run at facilities like the National Center for Supercomputing Applications and the Leibniz-Rechenzentrum.
Empirical determinations rely on datasets produced by the Sloan Digital Sky Survey, the COSMOS survey, and programs conducted with the Hubble Space Telescope and the Very Large Telescope. Teams at University of California, Santa Cruz and University of Toronto have compared stellar mass functions from the Pan-STARRS and UKIRT Infrared Deep Sky Survey with halo mass functions from simulations by groups at Stanford University and ETH Zurich. Results reported by collaborations involving researchers at University of Arizona and University of Edinburgh have been presented at conferences hosted by institutions like Royal Astronomical Society and American Astronomical Society.
Theoretical modeling draws on semianalytic models created at Max Planck Society and hydrodynamical simulations produced by teams at Princeton University, Harvard–Smithsonian Center for Astrophysics, and University of California, Santa Barbara. Large cosmological simulations such as those run by groups at Lawrence Berkeley National Laboratory, Argonne National Laboratory, and the Flatiron Institute inform prescriptions developed in the context of the Lambda Cold Dark Matter model and frameworks referenced in work by Martin Rees and Simon White. Models incorporate feedback processes investigated by authors affiliated with University of Cambridge, Columbia University, and University of California, Los Angeles.
Studies of redshift evolution from research groups at Space Telescope Science Institute and Institut d'Astrophysique de Paris examine how the relation changes using deep surveys like CANDELS and programs from the James Webb Space Telescope. Environmental dependence has been probed by teams associated with the Max Planck Institute for Astronomy and the University of Toronto using cluster catalogs from the South Pole Telescope and the Atacama Cosmology Telescope, and by comparisons with results from the Sloan Digital Sky Survey and the Galaxy and Mass Assembly survey.
Quantifying scatter and systematics engages researchers from University of California, Berkeley, Carnegie Institution for Science, and Johns Hopkins University who analyze selection effects from surveys like the Sloan Digital Sky Survey and instrumental limitations of facilities such as the Chandra X-ray Observatory and the XMM-Newton observatory. Uncertainties arise in stellar mass estimates based on stellar population models developed by groups at Rutgers University and University of Massachusetts Amherst, and in halo masses inferred from simulations run at the National Energy Research Scientific Computing Center.
Implications have been explored by theorists and observers at Harvard University, Princeton University, and University of Cambridge for topics including baryon cycling, feedback processes studied by teams at California Institute of Technology and University of California, Santa Cruz, and constraints on cosmological parameters pursued by collaborations like the Dark Energy Survey and researchers at European Space Agency and NASA. The relation informs interpretation of data from missions such as the James Webb Space Telescope, the Hubble Space Telescope, and surveys conducted by the Vera C. Rubin Observatory.