JWST auroral-line selected galaxies at high redshift show an MZR slope of 0.38 with selection biases favoring high-SFR low-metallicity systems, while stacked non-detections lie closer to the fundamental metallicity relation.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
Simulations match observed outflow masses within 0.5 dex but underpredict velocities by an order of magnitude and show face-on galaxies 15-40% more likely to exhibit detectable outflows than edge-on systems.
Astromorph adapts the BYOL self-supervised method into a usable pipeline that produces embeddings capturing morphological features in astronomical data, demonstrated on protoplanetary disks and infrared dark clouds.
citing papers explorer
-
Shape of Direct-Method Mass-Metallicity Relation with JWST: Fast-Track Nitrogen and Helium Enrichment
JWST auroral-line selected galaxies at high redshift show an MZR slope of 0.38 with selection biases favoring high-SFR low-metallicity systems, while stacked non-detections lie closer to the fundamental metallicity relation.
-
High-Redshift Galactic Outflows: Orientation Effects, Kinematics, and Metallicity in TNG50 and SERRA
Simulations match observed outflow masses within 0.5 dex but underpredict velocities by an order of magnitude and show face-on galaxies 15-40% more likely to exhibit detectable outflows than edge-on systems.
-
astromorph: Self-supervised machine learning pipeline for astronomical morphology analysis
Astromorph adapts the BYOL self-supervised method into a usable pipeline that produces embeddings capturing morphological features in astronomical data, demonstrated on protoplanetary disks and infrared dark clouds.