41 citations · 49 across the 9 of their papers we have counts for
4 papers · 2 filters
Toward Complete Merger Identification at Cosmic Noon with Deep Learning
Aimee Schechter, Aleksandra Ciprijanovic, Rebecca Nevin +4
As we enter the era of large imaging surveys such as , Rubin, and , a deeper understanding of potential biases and selection effects in optical ast…
Beyond the Brightest: A Deep Learning Approach to Identifying Major and Minor Galaxy Mergers in CANDELS at
Aimee L. Schechter, Aleksandra Ćiprijanović, Xuejian Shen +5
Galaxy mergers play an important role in galaxy evolution. Therefore, accurate merger identifications are paramount for achieving a complete understanding of how galaxies evolve. A…
Preliminary census of galaxies in the LISA localisation volume: I. Searching for LISA candidate massive black hole binary merger hosts using Sloan Digital Sky Survey photometry
Carolyn L. Drake, Jessie Runnoe, Aaron Stemo +6
With the launch of the Laser Interferometer Space Antenna (LISA), we will be able to estimate the sky position, luminosity distance (d), chirp mass, and mass ratio for detect…
Contaminating Electromagnetic Transients in LISA Gravitational Wave Localization Volumes. I: The Intrinsic Rates
Weixiang Yu, John J. Ruan, Michael Eracleous +8
The Laser Interferometer Space Antenna (LISA) will soon detect gravitational waves (GWs) emitted by massive black hole (MBH) mergers. Some theoretical models have predicted transie…