5 papers
RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
M. S. Hossain, M. S. H. Shahal, K. M. B. Asad +10
Bent radio active galactic nuclei (RAGNs) -- wide-angle tails (WATs) and narrow-angle tails (NATs) -- trace dense environments in galaxy groups and clusters, yet no multiclass clas…
Iterative Poisson Solvers for Self-gravity with the GPU Code Astaroth
Ruben Krasnopolsky, Touko Puro, Wei-Wen Li +5
We present the development and benchmarking of Poisson solvers for graphics processing units (GPUs). Implemented in the Astaroth platform, the solvers feature high computational ef…
Euclid preparation. Three-dimensional galaxy clustering in configuration space: Three-point correlation function estimation
Euclid Collaboration, A. Veropalumbo, M. Moresco +303
Higher-order correlation functions are firmly established as a fundamental tool for the statistical analysis of clustering in modern galaxy surveys. It was demonstrated that they g…
Constraining the mass of the M31 ionized baryon Halo using CHIME/FRB Catalog 2
Lordrick A. Kahinga, J. Xavier Prochaska, Sunil Simha +21
The circumgalactic medium (CGM) surrounding galaxies is believed to be a significant reservoir of baryons, yet its total mass remains poorly constrained. We present a novel approac…
AppleCiDEr II: SpectraNet -- A Deep Learning Network for Spectroscopic Data
Maojie Xu, Argyro Sasli, Alexandra Junell +21
Time-domain surveys such as the Zwicky Transient Facility (ZTF) have opened a new frontier in the discovery and characterization of transients. While photometric light curves provi…