SN 2023aeaf is photometrically classified as a likely Type II supernova at z=3.195, consistent with a 12 solar mass progenitor and low-metallicity star-forming host.
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10 Pith papers cite this work. Polarity classification is still indexing.
10
Pith papers citing it
representative citing papers
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.
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 simulation-based procedure for cluster strong lensing that remaps uniform boxes and traces rays through resolved particles, finding uncorrelated line-of-sight structure shifts images by arcseconds and changes critical areas by 16+20-14 percent at zs=4.
Clumps in high-redshift spiral galaxies are smaller than commonly reported, spatially concentrated toward spiral arms, smaller but brighter inside arms than between them, with similar colors, suggesting arms stimulate clump formation but do not alter their star formation properties.
NIRSpec enables low- to high-resolution near-infrared spectroscopy from 0.6 to 5.3 microns on JWST in single-object, integral-field, and multi-object modes with a novel micro-shutter array.
Neo, a cGAN, super-resolves HSC images to HST-like quality and improves galaxy morphological parameter accuracy by factors of 2-10.
Multi-phase molecular gas in IRAS20551-4250 is dominated by cold CO, shows UV-heated warm H2, tidal features from a merger, and no molecular outflows, consistent with ongoing star formation.
PASSAGE releases 2183 spectroscopic redshifts (0.08<z<4.7) from JWST NIRISS observations in COSMOS, with strong agreement to photometric redshifts for multi-line sources and a quantified ~18% misidentification rate for single-line emitters.
Optimizes ImageNet-pretrained AlexNet, UMAP, and a bagging multi-cluster voting scheme with K-means, Birch and Agg for unsupervised galaxy morphology classification, reporting improved stability and consistency with galaxy evolution expectations.
citing papers explorer
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Expanding the High-z Supernova Frontier: "Wide-Area" JWST Discoveries from the First Two Years of COSMOS-Web
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.
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A Consistent Implementation of Cluster Strong Lensing in Cosmological Simulation Light Cones
A simulation-based procedure for cluster strong lensing that remaps uniform boxes and traces rays through resolved particles, finding uncorrelated line-of-sight structure shifts images by arcseconds and changes critical areas by 16+20-14 percent at zs=4.
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Clumps in spiral galaxies at $z \lesssim 3$: Disentangling two spatial modes of star formation
Clumps in high-redshift spiral galaxies are smaller than commonly reported, spatially concentrated toward spiral arms, smaller but brighter inside arms than between them, with similar colors, suggesting arms stimulate clump formation but do not alter their star formation properties.
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Photometric Super-Resolution for Improving Galaxy Morphological Measurements using Conditional Generative Adversarial Networks
Neo, a cGAN, super-resolves HSC images to HST-like quality and improves galaxy morphological parameter accuracy by factors of 2-10.
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GOALS-JWST: Resolved multi-phase molecular gas in IRAS 20551-4250 using JWST and ALMA
Multi-phase molecular gas in IRAS20551-4250 is dominated by cold CO, shows UV-heated warm H2, tidal features from a merger, and no molecular outflows, consistent with ongoing star formation.
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Robustness Analysis of USmorph: II. Optimizing Feature Extraction, Dimensionality Reduction, and Clustering for Unsupervised Galaxy Morphology Classification
Optimizes ImageNet-pretrained AlexNet, UMAP, and a bagging multi-cluster voting scheme with K-means, Birch and Agg for unsupervised galaxy morphology classification, reporting improved stability and consistency with galaxy evolution expectations.