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54 papers
Galaxy Morphological Classification Catalogue of the Dark Energy Survey Year 3 data with Convolutional Neural Networks
Ting-Yun Cheng, Christopher J. Conselice, Alfonso Aragón-Salamanca +57
We present in this paper one of the largest galaxy morphological classification catalogues to date, including over 20 million of galaxies, using the Dark Energy Survey (DES) Year 3…
Cosmic filaments in galaxy cluster outskirts: quantifying finding filaments in redshift space
Ulrike Kuchner, Alfonso Aragón-Salamanca, Agustín Rost +6
Inferring line-of-sight distances from redshifts in and around galaxy clusters is complicated by peculiar velocities, a phenomenon known as the "Fingers of God" (FoG). This present…
Size, shade or shape? The contribution of galaxies of different types to the star-formation history of the Universe from SDSS-IV MaNGA
Thomas Peterken, Alfonso Aragón-Salamanca, Michael Merrifield +7
By fitting stellar populations to SDSS-IV MaNGA survey observations of ~7000 suitably-weighted individual galaxies, we reconstruct the star-formation history of the Universe, which…
SDSS-IV MaNGA: the "G-dwarf problem" revisited
Michael J. Greener, Michael Merrifield, Alfonso Aragón-Salamanca +3
The levels of heavy elements in stars are the product of enhancement by previous stellar generations, and the distribution of this metallicity among the population contains clues t…
SDSS-IV MaNGA: When is morphology imprinted on galaxies?
Thomas Peterken, Michael Merrifield, Alfonso Aragón-Salamanca +4
It remains an open question as to how long ago the morphology that we see in a present-day galaxy was typically imprinted. Studies of galaxy populations at different redshifts reve…
SDSS-IV MaNGA: The link between bars and the early cessation of star formation in spiral galaxies
Amelia Fraser-McKelvie, Michael Merrifield, Alfonso Aragón-Salamanca +9
Bars are common in low-redshift disk galaxies, and hence quantifying their influence on their host is of importance to the field of galaxy evolution. We determine the stellar popul…