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Asantha Cooray on Muck Rack

Asantha Cooray

As seen in: Nature
Once called an “encyclopedia of cosmological knowledge” @NASAOriginsTele FIRSST Probe PI, SPHEREx Euclid CoI @UCIrvine 🇱🇰 🇺🇸
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Articles

A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys

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By Asantha Cooray, Nima Chartab, Shoubaneh Hemmati
| hal.science
A Machine-learning Approach to Predict Missing Flux Densities in Multiband Galaxy Surveys Mots clés Astronomy data analysis Astronomy data visualization Galaxy evolution Fichier principal Chartab_2023_ApJ_942_91.pdf (5.4 Mo) Télécharger le fichier Origine : Fichiers éditeurs autorisés sur une archive ouverte Licence : CC BY - Paternité
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Low gas-phase metallicities of ultraluminous infrared galaxies are a result of dust obscuration - Nature Astronomy

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By Dario Fadda, Julie Wardlow, Asantha Cooray, Rodrigo Herrera-Camus, Dimitra Rigopoulou
| Nature Verified
Abstract Optical spectroscopic measurements show that gas in dusty, starbursting galaxies known as ultraluminous infrared galaxies (ULIRGs) in the local Universe has a significantly lower metal content than that of gas in star-forming galaxies with similar masses. This low metal content has resulted in the claim that ULIRGs are primarily fuelled by metal-poor gas falling into those galaxy merger systems from large distances.
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