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20152025
most citedemcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

292 citations · 1.7k across the 26 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

astro-ph.IM2017

Linear models for systematics and nuisances

Rodrigo Luger, Daniel Foreman-Mackey, David W. Hogg

The target of many astronomical studies is the recovery of tiny astrophysical signals living in a sea of uninteresting (but usually dominant) noise. In many contexts (i.e., stellar…

astro-ph.IM20178 cited

A pixel-level model for event discovery in time-domain imaging

Dun Wang, David W. Hogg, Daniel Foreman-Mackey +1

Difference imaging or image subtraction is a method that measures differential photometry by matching the pointing and point-spread function (PSF) between image frames. It is used…

astro-ph.SR2017231 cited

Inferring probabilistic stellar rotation periods using Gaussian processes

Ruth Angus, Timothy Morton, Suzanne Aigrain +2

Variability in the light curves of spotted, rotating stars is often non-sinusoidal and quasi-periodic --- spots move on the stellar surface and have finite lifetimes, causing stell…

astro-ph.EP201785 cited

Seeing double with K2: Testing re-inflation with two remarkably similar planets around red giant branch stars

Samuel K. Grunblatt, Daniel Huber, Eric Gaidos +15

Despite more than 20 years since the discovery of the first gas giant planet with an anomalously large radius, the mechanism for planet inflation remains unknown. Here, we report t…

astro-ph.SR2017

Long Term Photometric Variability in Kepler Full Frame Images: Magnetic Cycles of Sun-Like Stars

Benjamin T. Montet, Guadalupe Tovar, Daniel Foreman-Mackey

Photometry from the Kepler mission is optimized to detect small, short duration signals like planet transits at the expense of long-term trends. This long-term variability can be r…