activity
20162022
most citedexoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series

215 citations · 885 across the 20 of their papers we have counts for

collaborators

33 papers

astro-ph.SR20213 cited

Mapping stellar surfaces III: An Efficient, Scalable, and Open-Source Doppler Imaging Model

Rodrigo Luger, Megan Bedell, Daniel Foreman-Mackey +3

The study of stellar surfaces can reveal information about the chemical composition, interior structure, and magnetic properties of stars. It is also critical to the detection and…

astro-ph.EP202142 cited

H-alpha and Ca II Infrared Triplet Variations During a Transit of the 23 Myr Planet V1298 Tau c

Adina D. Feinstein, Benjamin T. Montet, Marshall C. Johnson +5

Young transiting exoplanets (< 100 Myr) provide crucial insight into atmospheric evolution via photoevaporation. However, transmission spectroscopy measurements to determine atmosp…

astro-ph.IM2021215 cited

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series

Daniel Foreman-Mackey, Rodrigo Luger, Eric Agol +13

"exoplanet" is a toolkit for probabilistic modeling of astronomical time series data, with a focus on observations of exoplanets, using PyMC3 (Salvatier et al., 2016). PyMC3 is a f…

astro-ph.IM202114 cited

Linearized Field Deblending: PSF Photometry for Impatient Astronomers

Christina Hedges, Rodrigo Luger, Jorge Martinez Palomera +2

NASA's Kepler, K2 and TESS missions employ Simple Aperture Photometry (SAP) to derive time-series photometry, where an aperture is estimated for each star, and pixels containing ea…

astro-ph.EP20211 cited

Occultation mapping of Io's surface in the near-infrared I: Inferring static maps

Fran Bartolić, Rodrigo Luger, Daniel Foreman-Mackey +2

Jupiter's moon Io is the most volcanically active body in the Solar System with hundreds of active volcanoes varying in intensity on different timescales. Io has been observed duri…

astro-ph.SR20211 cited

starry_process: Interpretable Gaussian processes for stellar light curves

Rodrigo Luger, Daniel Foreman-Mackey, Christina Hedges

In this note we present the starry_process code, which implements an interpretable Gaussian process (GP) for modeling variability in stellar light curves. As dark starspots rotate…