Discovery and characterization of the highest-redshift barred spiral galaxy candidate at z=5.102, with bar length ~4.5 kpc, stellar mass 10^10.45 solar masses, SFR 144 solar masses per year, and evidence for AGN and interaction.
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B., van Dokkum P
55 Pith papers cite this work, alongside 1,679 external citations. Polarity classification is still indexing.
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Pith papers citing it
1,679
external citations · Pith
abstract
We describe a new program for determining photometric redshifts, dubbed EAZY. The program is optimized for cases where spectroscopic redshifts are not available, or only available for a biased subset of the galaxies. The code combines features from various existing codes: it can fit linear combinations of templates, it includes optional flux- and redshift-based priors, and its user interface is modeled on the popular HYPERZ code. A novel feature is that the default template set, as well as the default functional forms of the priors, are not based on (usually highly biased) spectroscopic samples, but on semi-analytical models. Furthermore, template mismatch is addressed by a novel rest-frame template error function. This function gives different wavelength regions different weights, and ensures that the formal redshift uncertainties are realistic. We introduce a redshift quality parameter, Q_z, that provides a robust estimate of the reliability of the photometric redshift estimate. Despite the fact that EAZY is not "trained" on spectroscopic samples, the code (with default parameters) performs very well on existing public datasets. For K-selected samples in CDF-South and other deep fields we find a 1-sigma scatter in dz/(1+z) of 0.034, and we provide updated photometric redshift catalogs for the FIRES, MUSYC, and FIREWORKS surveys.
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representative citing papers
JWST/NIRCam imaging and Keck/MOSDEF spectroscopy identify COSMOS-74706 as an unlensed barred spiral galaxy at z_spec=3.159, with the bar confirmed via residuals, ellipse fitting, and Fourier modes.
Anisotropic quenching is detected at the highest redshift yet and linked to preprocessing dominating over intrahalo effects by ~20% along the major axis in a delay-then-rapid quenching model informed by cluster accretion histories.
New template-fitting selection yields 241 BH*-dominated LRD candidates at z~1.7-9.3 with number density peaking at z~5-6, demonstrating persistence to lower redshifts.
JWST MIRI observations of 634 galaxies at 0.2<z<2 yield IR luminosity functions with faint-end slope α≈0.147, implying lower dust-obscured SFRD than previous ALMA/Herschel/Spitzer studies.
JWST difference imaging from COSMOS-Web and PRIMER has yielded 68 high-redshift supernovae including a core-collapse event at z>3 and a Type Ia at z>2, demonstrating the feasibility of wide-area time-domain searches in the early universe.
A new catalogue of bar lengths and widths from HST images of 8230 galaxies shows bars are about 13% weaker at higher redshift, with longer bars in higher-mass quiescent galaxies and trends consistent with slow quenching.
Resolved gas and dust maps in a z=2 quiescent galaxy reveal accreted material from tidal interactions and a past star-formation rejuvenation, indicating that gas content variations are not solely due to consumption timescales.
Morphology-density and morphology-mass relations are present at z~1.6 in both cluster and field galaxies.
JWST measurements of pitch angles in 593 spiral galaxies to z=3.5 show no overall redshift evolution but reveal correlations with mass and sSFR only below z=1.25, implying a transition from locally driven to globally regulated spiral arms.
A beta-VAE analysis of pop-cosmos models finds that five latent dimensions capture the rest-frame optical SED, corresponding to stellar mass, recent star formation, dust, and two gas ionization states.
Medium-band imaging reveals red emission-line galaxies at z>5 including compact objects likely missed by classic Little Red Dot selection criteria.
Analysis of ~100 JWST LRDs finds redder, compact UV emission with Fe II/Mg II ~8-10 and correlations suggesting central red continuum (β_UV~0) beyond host galaxy contribution.
LRDs transition from underdense low-halo-mass environments at z>4 to typical galaxy conditions by z~3.5, with halo growth leading to larger sizes and SED changes that explain their disappearance at lower redshifts.
Massive galaxies at z>3.5 assembled stars earlier than theoretical models predict and exhibit gray dust attenuation, especially at the highest masses.
ASTERIS, a self-supervised spatiotemporal denoising algorithm, improves astronomical detection limits by 1 magnitude at 90% completeness while identifying three times more redshift >9 galaxy candidates in JWST images.
PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
UV-bright companions to Little Red Dots provide Lyman-Werner fluxes of J21 ~ 10^2.5-10^5 that can suppress H2 cooling and enable direct collapse to massive black holes.
Neural network classification with CRPS optimization produces calibrated photometric redshift PDFs for DESI Legacy and Pan-STARRS data, achieving σ_NMAD of 0.0153 on LSDR10 and outperforming regression methods.
A source 660 million years after the Big Bang is interpreted as a black hole star with a dust-free dense gas atmosphere, implying Little Red Dots have black hole masses overestimated by orders of magnitude.
Milky Way abundance trends act as effective empirical proxies for nucleosynthetic yields, recovering alpha and Fe-peak abundances in quiescent galaxies with 0.05 dex median offset versus 0.23 dex for theory, indicating largely universal yields.
The UV luminosity function at z~7 rises steeply with slope alpha=-1.98 to M_UV=-12.3 with no turnover, indicating faint galaxies dominate the ionizing photon budget during reionization.
A massive galaxy at z=9.3 shows bursty star formation with a recent downturn and sits in a small ionized bubble in a neutral IGM.
Pixel-level deep learning models trained on Euclid and DESI data deliver high-completeness source classification and accurate photo-z estimates for 13 million objects in Euclid Deep Field North.
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