no code implementations • 24 Sep 2020 • Ting-Yun Cheng, Marc Huertas-Company, Christopher J. Conselice, Alfonso Aragón-Salamanca, Brant E. Robertson, Nesar Ramachandra
Based on this, the main result in this work is how well our unsupervised method matches visual classifications and physical properties, as well as providing an independent classification that is more physically meaningful than any visually based ones.
Astrophysics of Galaxies
1 code implementation • 3 Dec 2019 • Mikkel Stockmann, Sune Toft, Anna Gallazzi, Stefano Zibetti, Christopher J. Conselice, Berta Margalef-Bentabol, Johannes Zabl, Inger Jørgensen, Georgios E. Magdis, Carlos Gómez-Guijarro, Francesco M. Valentino, Gabriel B. Brammer, Daniel Ceverino, Isabella Cortzen, Iary Davidzon, Richardo Demarco, Andreas Faisst, Michaela Hirschmann, Jens-Kristian Krogager, Claudia D. Lagos, Allison W. S. Man, Carl J. Mundy, Yingjie Peng, Jonatan Selsing, Charles L. Steinhardt, Kathrine E. Whitaker
We present a detailed analysis of a large sample of spectroscopically confirmed ultra-massive quiescent galaxies (${\rm{log}}(M_{\ast}/M_{\odot})\sim11. 5$) at $z\gtrsim2$.
Astrophysics of Galaxies
no code implementations • 11 Nov 2019 • Ting-Yun Cheng, Nan Li, Christopher J. Conselice, Alfonso Aragón-Salamanca, Simon Dye, Robert B. Metcalf
Our method successfully picks up $\sim$63\ percent of lensing images from all lenses in the training set.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
1 code implementation • 16 Jul 2018 • Alex Griffiths, Christopher J. Conselice
However, a great deal of information available within these datacubes is overlooked in favor of photometrically based spatial information.
Astrophysics of Galaxies Instrumentation and Methods for Astrophysics