368 citations · 1k across the 15 of their papers we have counts for
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astro-ph.CO2022★ 30 cited
Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks
Christopher J. Shallue, Daniel J. Eisenstein
We present a method to reconstruct the initial linear-regime matter density field from the late-time non-linearly evolved density field in which we channel the output of standard f…
astro-ph.EP2022★ 61 cited
The EXPRES Stellar Signals Project II. State of the Field in Disentangling Photospheric Velocities
Lily L. Zhao, Debra A. Fischer, Eric B. Ford +40
Measured spectral shifts due to intrinsic stellar variability (e.g., pulsations, granulation) and activity (e.g., spots, plages) are the largest source of error for extreme precisi…