85 citations · 337 across the 11 of their papers we have counts for
11 papers
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission
Lunan Sun, Yang Yang, Mingzhe Chen +3
Joint source and channel coding (JSCC) for image transmission has attracted increasing attention due to its robustness and high efficiency. However, the existing deep JSCC research…
Jet Launching from Binary Neutron Star Mergers: Incorporating Neutrino Transport and Magnetic Fields
Lunan Sun, Milton Ruiz, Stuart L. Shapiro +1
We perform general relativistic, magnetohydrodynamic (GRMHD) simulations of merging binary neutron stars incorporating neutrino transport and magnetic fields. Our new radiative tra…
Semantic Communications With AI Tasks
Yang Yang, Caili Guo, Fangfang Liu +4
A radical paradigm shift of wireless networks from ``connected things'' to ``connected intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communicati…
Enabling real-time multi-messenger astrophysics discoveries with deep learning
E. A. Huerta, Gabrielle Allen, Igor Andreoni +57
Multi-messenger astrophysics is a fast-growing, interdisciplinary field that combines data, which vary in volume and speed of data processing, from many different instruments that…
Great Impostors: Extremely Compact, Merging Binary Neutron Stars in the Mass Gap Posing as Binary Black Holes
Antonios Tsokaros, Milton Ruiz, Stuart L. Shapiro +2
Can one distinguish a binary black hole undergoing a merger from a binary neutron star if the individual compact companions have masses that fall inside the so-called mass gap of $…
Dynamically stable ergostars exist: General relativistic models and simulations
Antonios Tsokaros, Milton Ruiz, Lunan Sun +2
We construct the first dynamically stable ergostars (equilibrium neutron stars that contain an ergoregion) for a compressible, causal equation of state. We demonstrate their stabil…
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
Gabrielle Allen, Igor Andreoni, Etienne Bachelet +45
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrop…
Magnetic Braking and Damping of Differential Rotation in Massive Stars
Lunan Sun, Milton Ruiz, Stuart L. Shapiro
Fragmentation of highly differentially rotating massive stars that undergo collapse has been suggested as a possible channel for binary black hole formation. Such a scenario could…
Simulating the Magnetorotational Collapse of Supermassive Stars: Incorporating Gas Pressure Perturbations and Different Rotation Profiles
Lunan Sun, Milton Ruiz, Stuart L. Shapiro
Collapsing supermassive stars (SMSs) with masses have long been speculated to be the seeds that can grow and become supermassive black holes (SMBHs). We…
Magnetorotational Collapse of Supermassive Stars: Black Hole Formation, Gravitational Waves and Jets
Lunan Sun, Vasileios Paschalidis, Milton Ruiz +1
We perform MHD simulations in full GR of uniformly rotating stars that are marginally unstable to collapse. Our simulations model the direct collapse of supermassive stars (SMSs) t…
Topological surface states interacting with bulk excitations in the Kondo insulator SmB revealed via planar tunneling spectroscopy
Wan Kyu Park, Lunan Sun, Alexander Noddings +3
Samarium hexaboride (SmB), a well-known Kondo insulator in which the insulating bulk arises from strong electron correlations, has recently attracted great attention owing to i…