most citedBeyond the Brightest: A Deep Learning Approach to Identifying Major and Minor Galaxy Mergers in CANDELS at

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astro-ph.GA20261 cited

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…

astro-ph.GA2025

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…

astro-ph.GA2025

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…

astro-ph.GA2025

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…

astro-ph.GA2024

An Excess of AGNs Triggered by Galaxy Mergers in MaNGA Galaxies of Stellar Mass

Julia M. Comerford, Rebecca Nevin, James Negus +7

To facilitate new studies of galaxy merger driven fueling of active galactic nuclei (AGNs), we present a catalog of 387 AGNs that we have identified in the final population of over…