8.6k citations
- Leiden UniversityNL722 papers
- Centre National de la Recherche ScientifiqueFR633 papers
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- Center for Astrophysics Harvard & SmithsonianUS508 papers
- Radboud University NijmegenNL424 papers
- Leiden Observatory362 papers
- Max Planck Institute for Extraterrestrial PhysicsDE362 papers
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45 papers · 2 filters
Candidate high-z proto-clusters among the Planck compact sources, as revealed by Herschel-SPIRE
J. Greenslade, D. L. Clements, T. Cheng +19
By determining the nature of all the Planck compact sources within 808.4 deg^2 of large Herschel surveys, we have identified 27 candidate proto-clusters of dusty star forming galax…
The evolution of young HII regions
P. D. Klaassen, K. G. Johnston, J. S. Urquhart +6
High-mass stars form in much richer environments than those associated with isolated low-mass stars, and once they reach a certain mass, produce ionised (HII) regions. The formatio…
GAMA/H-ATLAS: The Local Dust Mass Function and Cosmic Density as a Function of Galaxy Type - A Benchmark for Models of Galaxy Evolution
R. A. Beeston, A. H. Wright, S. Maddox +22
We present the dust mass function (DMF) of 15,750 galaxies with redshift , drawn from the overlapping area of the GAMA and {\it H-}ATLAS surveys. The DMF is derived using t…
Probing the baryon cycle of galaxies with SPICA mid- and far-infrared observations
F. F. S. van der Tak, S. C. Madden, P. Roelfsema +29
The SPICA mid and far-infrared telescope will address fundamental issues in our understanding of star formation and ISM physics in galaxies. A particular hallmark of SPICA is the o…
The supermassive black hole coincident with the luminous transient ASASSN-15lh
T. Krühler, M. Fraser, G. Leloudas +11
The progenitors of astronomical transients are linked to a specific stellar population and galactic environment, and observing their host galaxies hence constrains the physical nat…
Galaxy And Mass Assembly: Automatic Morphological Classification of Galaxies Using Statistical Learning
Sreevarsha Sreejith, Sergiy Pereverzyev, Lee S. Kelvin +15
We apply four statistical learning methods to a sample of galaxies () from the Galaxy and Mass Assembly (GAMA) survey to test the feasibility of using automated algo…