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B. Mobasher

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Review Sep 2026

ALMA Chemical Evolution (ACE) survey: dust-to-gas ratios in sub-solar metallicity galaxies at cosmic noon

Dust is a fundamental component of the interstellar medium and provides a key tracer of the baryon cycle that regulates galaxy evolution. The dust-to-gas ratio links metals in the gas phase to those locked into dust grains, making it a sensitive diagnostic of dust production, grain growth, and destruction. We present m...

N. N. Geesink, G. Popping, L. Boogaard et al. · 0 citations
Review Sep 2026

ALMA Chemical Evolution (ACE) survey: the dust content of subsolar metallicity galaxies at cosmic noon

Dust plays a key role in galaxy evolution by influencing star formation and shaping the observed spectrum of galaxies. However, at z~2 (cosmic noon) our knowledge of the dust mass budget is currently limited to the most massive, metal-rich systems, which are not representative of the bulk galaxy population. Here, we pr...

M. Solimano, I. Shivaei, G. Popping et al. · 0 citations
Review Sep 2026

ALMA Chemical Evolution (ACE) survey: an overview -- extending dust and gas inference to low metallicities at cosmic noon

The baryon cycle governs the exchange of gas, metals, and dust between galaxies and their environments, but simultaneous constraints on these constituents remain scarce beyond z~1. The ALMA Chemical Evolution (ACE) survey is a Cycle 11 ALMA Large Program designed to address this by studying the molecular gas, dust, and...

I. Shivaei, G. Popping, L. Boogaard et al. · 0 citations
Review Sep 2026

CHAMPS: The COSMOS High-Redshift ALMA-MIRI Population Survey - A New Census of the Dusty Early Universe

Understanding how dust forms and evolves over cosmic time is a key open problem in extragalactic astrophysics. Galaxies in the early Universe were once thought to be mostly dust-poor, but recent discoveries of heavily dust-obscured galaxies near the Epoch of Reionization challenge models of early dust production and ra...

A. Faisst, Felix Martinez, J. Kartaltepe et al. · 0 citations
Preprint Jul 2026

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

A deep-learning framework that performs 4.6x spatial super-resolution from WISE W1 toward Spitzer IRAC Ch1, and characterize its behavior on the COSMOS field suggests genuine resolution enhancement and source deblending, providing a path toward applying super-resolution across the all-sky area that Spitzer could not co...

S. Rezaee, S. Hemmati, B. Mobasher et al. · 0 citations

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