888 citations · 4.1k across the 38 of their papers we have counts for
38 papers
Photometric Redshift Estimation with Convolutional Neural Networks and Galaxy Images: A Case Study of Resolving Biases in Data-Driven Methods
Q. Lin, D. Fouchez, J. Pasquet +4
Deep Learning models have been increasingly exploited in astrophysical studies, yet such data-driven algorithms are prone to producing biased outputs detrimental for subsequent ana…
The impact of the connectivity of the cosmic web on the physical properties of galaxies at its nodes
Katarina Kraljic, Christophe Pichon, Sandrine Codis +11
We investigate the impact of the number of filaments connected to the nodes of the cosmic web on the physical properties of their galaxies using the Sloan Digital Sky Survey. We co…
Galaxies flowing in the oriented saddle frame of the cosmic web
K. Kraljic, C. Pichon, Y. Dubois +12
The strikingly anisotropic large-scale distribution of matter made of an extended network of voids delimited by sheets, themselves segmented by filaments, within which matter flows…
Photometric redshifts from SDSS images using a Convolutional Neural Network
Johanna Pasquet, Emmanuel Bertin, Marie Treyer +2
We developed a Deep Convolutional Neural Network (CNN), used as a classifier, to estimate photometric redshifts and associated probability distribution functions (PDF) for galaxies…
Group quenching and galactic conformity at low redshift
M. Treyer, K. Kraljic, S. Arnouts +13
We quantify the quenching impact of the group environment using the spectroscopic survey Galaxy and Mass Assembly (GAMA) to z=0.2. The fraction of red (quiescent) galaxies, whether…
Galaxy evolution in the metric of the Cosmic Web
K. Kraljic, S. Arnouts, C. Pichon +19
The role of the cosmic web in shaping galaxy properties is investigated in the GAMA spectroscopic survey in the redshift range . The stellar mass, du…