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DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification
Aleksandra Ćiprijanović, Diana Kafkes, Gregory Snyder +6
With increased adoption of supervised deep learning methods for processing and analysis of cosmological survey data, the assessment of data perturbation effects (that can naturally…
The mass-metallicity relation at z~1-2 and its dependence on star formation rate
Alaina Henry, Marc Rafelski, Ben Sunnquist +24
We present a new measurement of the gas-phase mass-metallicity relation (MZR), and its dependence on star formation rates (SFRs) at 1.3 < z < 2.3. Our sample comprises 1056 galaxie…
A Census of the Bright z=8.5-11 Universe with the Hubble and Spitzer Space Telescopes in the CANDELS Fields
Steven L. Finkelstein, Micaela Bagley, Mimi Song +21
We present the results from a new search for candidate galaxies at z ~ 8.5-11 discovered over the 850 arcmin^2 area probed by the Cosmic Assembly Near-Infrared Deep Extragalactic L…
Are all post-starbursts mergers? HST reveals hidden disturbances in the majority of PSBs
Elizaveta Sazonova, Katherine Alatalo, Kate Rowlands +12
How do galaxies transform from blue, star-forming spirals to red, quiescent early-type galaxies? To answer this question, we analyzed a set of 26 gas-rich, shocked post-starburst g…
The Connection between Mergers and AGN Activity in Simulated and Observed Massive Galaxies
Ray S. Sharma, Ena Choi, Rachel S. Somerville +8
We analyze a suite of high resolution zoom-in cosmological hydrodynamic simulations of massive galaxies with stellar masses , with the goal of be…