177 citations · 332 across the 7 of their papers we have counts for
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astro-ph.GA2022★ 177 cited
The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques
Camilla Pacifici, Kartheik G. Iyer, Bahram Mobasher +52
The study of galaxy evolution hinges on our ability to interpret multi-wavelength galaxy observations in terms of their physical properties. To do this, we rely on spectral energy…
astro-ph.CO2022★ 14 cited
Deblending Galaxies with Generative Adversarial Networks
Shoubaneh Hemmati, Eric Huff, Hooshang Nayyeri +6
Deep generative models including generative adversarial networks (GANs) are powerful unsupervised tools in learning the distributions of data sets. Building a simple GAN architectu…