Trend Filtering -- II. Denoising Astronomical Signals with Varying Degrees of Smoothness

10 Jan 2020Collin A. PolitschJessi Cisewski-KeheRupert A. C. CroftLarry Wasserman

Trend filtering---first introduced into the astronomical literature in Paper I of this series---is a state-of-the-art statistical tool for denoising one-dimensional signals that possess varying degrees of smoothness. In this work, we demonstrate the broad utility of trend filtering to observational astronomy by discussing how it can contribute to a variety of spectroscopic and time-domain studies... (read more)

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