output
20022024
most citedFirst Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way

1.9k citations

Showing 2016Show all

20 papers · 1 filter

astro-ph.HE201678 cited

Detection of Time Lags Between Quasar Continuum Emission Bands based on Pan-STARRS Light-curves

Yan-Fei Jiang, Paul J. Green, Jenny E. Greene +21

We study the time lags between the continuum emission of quasars at different wavelengths, based on more than four years of multi-band (, , , ) light-curves in the Pan-…

astro-ph.GA20167 cited

Hydrodynamical Simulations of Colliding Jets

Sandor. M. Molnar, Hsi-Yu Schive, Mark Birkinshaw +3

Radio observations suggest that 3C 75, located in the dumbbell shaped galaxy NGC 1128 at the center of Abell 400, hosts two colliding jets. Motivated by this source, we perform thr…

astro-ph.GA201628 cited

A Study of Quasar Selection in the Dark Energy Survey Supernova fields

S. S. Tie, P. Martini, D. Mudd +75

We present a study of quasar selection using the DES supernova fields. We used a quasar catalog from an overlapping portion of the SDSS Stripe 82 region to quantify the completenes…

astro-ph.CO201653 cited

Imprint of DES super-structures on the Cosmic Microwave Background

A. Kovács, C. Sánchez, J. García-Bellido +58

Small temperature anisotropies in the Cosmic Microwave Background can be sourced by density perturbations via the late-time integrated Sachs-Wolfe effect. Large voids and superclus…

astro-ph.HE2016500 cited

Searching for Dark Matter Annihilation in Recently Discovered Milky Way Satellites with Fermi-LAT

The Fermi-LAT, DES Collaborations, A. Albert +70

We search for excess gamma-ray emission coincident with the positions of confirmed and candidate Milky Way satellite galaxies using 6 years of data from the Fermi Large Area Telesc…

cs.LG201646 cited

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

Frank S. He, Yang Liu, Alexander G. Schwing +1

We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and e…