Search Results for author:
Found 18 papers, 16 papers with code
Occultation mapping of Io's surface in the near-infrared I: Inferring static maps
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.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
starry_process: Interpretable Gaussian processes for stellar light curves
In this note we present the starry_process code, which implements an interpretable Gaussian process (GP) for modeling variability in stellar light curves.
Gaussian Processes
Time Series Analysis
Solar and Stellar Astrophysics
Earth and Planetary Astrophysics
Instrumentation and Methods for Astrophysics
Mapping stellar surfaces I: Degeneracies in the rotational light curve problem
The goal of this paper is twofold: (1) to explore the various degeneracies affecting the stellar light curve "inversion" problem and their effect on what can and cannot be learned from a stellar surface given unresolved photometric measurements; and (2) to motivate ensemble analyses of the light curves of many stars at once as a powerful data-driven alternative to common priors adopted in the literature.
Time Series Analysis
Solar and Stellar Astrophysics
Instrumentation and Methods for Astrophysics
Refining the transit timing and photometric analysis of TRAPPIST-1: Masses, radii, densities, dynamics, and ephemerides
We have collected transit times for the TRAPPIST-1 system with the Spitzer Space Telescope over four years.
Earth and Planetary Astrophysics
Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening
We provide improved analytic expressions for the uniform, linear, and quadratic limb-darkened cases, as well as novel expressions for higher order integer powers of limb darkening.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
Wobble: A Data-driven Analysis Technique for Time-series Stellar Spectra
Here we propose a data-driven method to simultaneously extract precise RVs and infer the underlying stellar and telluric spectra using a linear model (in the log of flux).
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics
Inference of stellar parameters from brightness variations
We find that this model, trained using 1000 stars, can be used to recover the temperature $T_{\rm eff}$ to $<$100 K, the surface gravity to $<$ 0. 1 dex, and the asteroseismic power-spectrum parameters $\rm \nu_{max}$ and $\rm \Delta{\nu}$ to $<11$ $\mu$Hz and $<0. 9$ $\mu$Hz ($\lesssim$ 15\%).
Solar and Stellar Astrophysics
Data analysis recipes: Using Markov Chain Monte Carlo
Markov Chain Monte Carlo (MCMC) methods for sampling probability density functions (combined with abundant computational resources) have transformed the sciences, especially in performing probabilistic inferences, or fitting models to data.
Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability Computation
Fast and scalable Gaussian process modeling with applications to astronomical time series
We present a mathematical description of the method and compare it to existing scalable Gaussian Process methods.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics Data Analysis, Statistics and Probability Applications
An update to the EVEREST K2 pipeline: Short cadence, saturated stars, and Kepler-like photometry down to Kp = 15
On average, EVEREST 2. 0 light curves have 10-20% higher photometric precision than those in the previous version, yielding the highest precision light curves at all Kp magnitudes of any publicly available K2 catalog.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics
The Joker: A custom Monte Carlo sampler for binary-star and exoplanet radial velocity data
We capitalize on this by building a sampling method in which we densely sample the prior pdf in the non-linear parameters and perform rejection sampling using a likelihood function marginalized over the linear parameters.
Solar and Stellar Astrophysics Earth and Planetary Astrophysics
EVEREST: Pixel Level Decorrelation of K2 Light curves
We present EVEREST, an open-source pipeline for removing instrumental noise from K2 light curves.
Earth and Planetary Astrophysics
DNest4: Diffusive Nested Sampling in C++ and Python
In probabilistic (Bayesian) inferences, we typically want to compute properties of the posterior distribution, describing knowledge of unknown quantities in the context of a particular dataset and the assumed prior information.
Computation Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability
Removing systematic errors for exoplanet search via latent causes
We describe a method for removing the effect of confounders in order to reconstruct a latent quantity of interest.
A systematic search for transiting planets in the K2 data
For all planet candidates, we present posterior distributions on the properties of each system based strictly on the transit observables.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
Fast Direct Methods for Gaussian Processes
In many cases, such as regression using Gaussian processes, the covariance matrix is of the form $C = \sigma^2 I + K$, where $K$ is computed using a specified covariance kernel which depends on the data and additional parameters (hyperparameters).
Numerical Analysis Instrumentation and Methods for Astrophysics Statistics Theory Statistics Theory
Probabilistic Catalogs for Crowded Stellar Fields
We present and implement a probabilistic (Bayesian) method for producing catalogs from images of stellar fields.
Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability Applications
emcee: The MCMC Hammer
The algorithm behind emcee has several advantages over traditional MCMC sampling methods and it has excellent performance as measured by the autocorrelation time (or function calls per independent sample).
Instrumentation and Methods for Astrophysics Computational Physics Computation
