13 research outputs found

    Galaxies Going Bananas: Inferring the 3D Geometry of High-Redshift Galaxies with JWST-CEERS

    Full text link
    The 3D geometry of high-redshift galaxies remains poorly understood. We build a differentiable Bayesian model and use Hamiltonian Monte Carlo to efficiently and robustly infer the 3D shapes of star-forming galaxies in JWST-CEERS observations with logM/M=9.010.5\log M_*/M_{\odot}=9.0-10.5 at z=0.58.0z=0.5-8.0. We reproduce previous results from HST-CANDELS in a fraction of the computing time and constrain the mean ellipticity, triaxiality, size and covariances with samples as small as 50\sim50 galaxies. We find high 3D ellipticities for all mass-redshift bins suggesting oblate (disky) or prolate (elongated) geometries. We break that degeneracy by constraining the mean triaxiality to be 1\sim1 for logM/M=9.09.5\log M_*/M_{\odot}=9.0-9.5 dwarfs at z>1z>1 (favoring the prolate scenario), with significantly lower triaxialities for higher masses and lower redshifts indicating the emergence of disks. The prolate population traces out a ``banana'' in the projected b/alogab/a-\log a diagram with an excess of low b/ab/a, large loga\log a galaxies. The dwarf prolate fraction rises from 25%\sim25\% at z=0.51.0z=0.5-1.0 to 5080%\sim50-80\% at z=38z=3-8. If these are disks, they cannot be axisymmetric but instead must be unusually oval (triaxial) unlike local circular disks. We simultaneously constrain the 3D size-mass relation and its dependence on 3D geometry. High-probability prolate and oblate candidates show remarkably similar S\'ersic indices (n1n\sim1), non-parametric morphological properties and specific star formation rates. Both tend to be visually classified as disks or irregular but edge-on oblate candidates show more dust attenuation. We discuss selection effects, follow-up prospects and theoretical implications.Comment: Submitted to ApJ, main body is 35 pages of which ~half are full-page figures, comments welcom
    corecore