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From the 1 of 12 linked papers with an AI index.

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12 papers

astro-ph.IM2026

Enhancing WISE Infrared Imaging to Spitzer Resolution Using Deep Learning Super-Resolution

Saeed Rezaee, Shoubaneh Hemmati, Bahram Mobasher +4

The paper introduces a deep‑learning model that upscales WISE infrared images to near‑Spitzer resolution, achieving about 4.6× higher spatial detail and improved flux recovery and…

astro-ph.GA2026

Exploring the Relationship Between Bars, Star Formation Activity, and Host Galaxy Properties from to

Eden Wise, Shardha Jogee, Yuchen Guo +20

We present the most comprehensive study to date of the relationship between bars, star formation, and galaxy properties from 0 to 2. We use a mass-complete sample…

astro-ph.GA2026

The Importance of Galaxy-Wide Star Formation in Driving Winds at z~1

Weichen Wang, Susan A. Kassin, S. M. Faber +11

In this work, we study winds for a representative sample of 86 star-forming galaxies (SFGs) at z~1 with , by measuring the Mg II line profiles…

astro-ph.GA2026

OCEANS of Absorption: High-resolution NIRSpec Spectroscopy Reveals Diverse Balmer-line Absorption in Little Red Dots

Kelcey Davis, Madisyn Brooks, Raymond C. Simons +24

The ``Little Red Dots' (LRDs) that appeared in JWST deep field images have been the subject of significant study since their discovery. In this work, we present high-resolution fol…

astro-ph.GA2026

Near-infrared emission line diagnostics for AGN from the local Universe to redshift 3

Antonello Calabrò, Laura Pentericci, Anna Feltre +35

Optical rest-frame spectroscopic diagnostics are usually employed to distinguish between star formation and AGN-powered emission. However, this method is biased against dusty sourc…

astro-ph.GA2026

Learning to See Sharper: A Physics-Informed Artificial Intelligence Framework for Super-Resolving Galaxy Spectra

Aryana Haghjoo, Shoubaneh Hemmati, Bahram Mobasher +6

The information recoverable from galaxy spectra depends fundamentally on spectral resolution, yet assembling large samples at high resolution remains observationally expensive. We…