Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.
S., Leifer, S., et al.\ 2021, Extreme Precision Radial Velocity Working Group Final Report
3 Pith papers cite this work. Polarity classification is still indexing.
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3D simulations of strongly magnetic solar granulation reveal convective redshifts in absorption lines, originating from hot down-moving elements created by shocks and adiabatic compression in magnetically channeled flows.
A spatial-variability proxy method applied to MURaM and MPS-ATLAS simulations of the Sun reveals stronger line-strength variations in neutral-element lines and larger central-wavelength shifts in singly-ionized lines.
citing papers explorer
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Exposure-averaged Gaussian Processes for Combining Overlapping Datasets
Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.
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Solar photospheric spectrum microvariability III. Radial velocities and line profiles in magnetic active-region granulation
3D simulations of strongly magnetic solar granulation reveal convective redshifts in absorption lines, originating from hot down-moving elements created by shocks and adiabatic compression in magnetically channeled flows.
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Sensitivity of spectral lines to granulation: The Sun
A spatial-variability proxy method applied to MURaM and MPS-ATLAS simulations of the Sun reveals stronger line-strength variations in neutral-element lines and larger central-wavelength shifts in singly-ionized lines.