1.2k citations · 4.8k across the 82 of their papers we have counts for
4 papers · 2 filters
Pushing automated morphological classifications to their limits with the Dark Energy Survey
J. Vega-Ferrero, H. Domínguez Sánchez, M. Bernardi +60
We present morphological classifications of 27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classif…
A machine learning approach to galaxy properties: joint redshift-stellar mass probability distributions with Random Forest
S. Mucesh, W. G. Hartley, A. Palmese +72
We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorit…
Probing galaxy evolution in massive clusters using ACT and DES: splashback as a cosmic clock
Susmita Adhikari, Tae-hyeon Shin, Bhuvnesh Jain +113
We measure the projected number density profiles of galaxies and the splashback feature in clusters selected by the Sunyaev--Zeldovich (SZ) effect from the Advanced Atacama Cosmolo…
Is diffuse intracluster light a good tracer of the galaxy cluster matter distribution?
H. Sampaio-Santos, Y. Zhang, R. L. C. Ogando +64
We explore the relation between diffuse intracluster light (central galaxy included) and the galaxy cluster (baryonic and dark) matter distribution using a sample of 528 clusters a…