activity
20182026
most citedAn Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval

67 citations · 221 across the 18 of their papers we have counts for

collaborators

19 papers

astro-ph.EP2026

Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) IV: Analyzing CO2 Detections in the Near-IR to Determine the Long-Wavelength Cut-off for the Habitable Worlds Observatory Coronagraph

Celeste Hagee, Natasha Latouf, Avi M. Mandell +3

We present our analysis of how the detectability of carbon dioxide (CO2) on an Earth-like planet varies with respect to signal-to-noise ratio (SNR), wavelength, and molecular abund…

cs.LG2026

Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory

Mark Moussa, Amber V. Young, Brianna Isola +4

Future direct-imaging flagship missions, such as NASA's Habitable Worlds Observatory (HWO), face critical decisions in prioritizing observations due to extremely stringent time and…

astro-ph.EP2024

Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) \RNum{3}: Introducing the KEN

Natasha Latouf, Michael D. Himes, Avi M. Mandell +4

We deploy a newly-generated set of geometric albedo spectral grids to examine the detectability of methane (CH4) in the reflected-light spectrum of an Earth-like exoplanet at visib…

astro-ph.EP2024

Modeling Atmospheric Lines By the Exoplanet Community (MALBEC) version 1.0: A CUISINES radiative transfer intercomparison project

Geronimo L. Villanueva, Thomas J. Fauchez, Vincent Kofman +15

Radiative transfer (RT) models are critical in the interpretation of exoplanetary spectra, in simulating exoplanet climates and when designing the specifications of future flagship…

astro-ph.EP2023★ 1 cited

Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) II: Using Grid-Based Nested Sampling in Coronagraphy Observation Simulations for O2 and O3

Natasha Latouf, Avi Mandell, Geronimo Villanueva +8

We present the results for the detectability of the O2 and O3 molecular species in the atmosphere of an Earth-like planet using reflected light at the visible wavelengths. By quant…

astro-ph.EP2023★ 2 cited

Bayesian Analysis for Remote Biosignature Identification on exoEarths (BARBIE) I: Using Grid-Based Nested Sampling in Coronagraphy Observation Simulations for H2O

Natasha Latouf, Avi Mandell, Geronimo Villanueva +4

Detecting H2O in exoplanet atmospheres is the first step on the path to determining planet habitability. Coronagraphic design currently limits the observing strategy used to detect…

astro-ph.EP2023★ 10 cited

Grid-Based Atmospheric Retrievals for Reflected-Light Spectra of Exoplanets using PSGnest

Nicholas Susemiehl, Avi M. Mandell, Geronimo L. Villanueva +5

Techniques to retrieve the atmospheric properties of exoplanets via direct observation of their reflected light have often been limited in scope due to computational constraints im…

astro-ph.EP2023★ 2 cited

Characterising a World Within the Hot Neptune Desert: Transit Observations of LTT 9779 b with HST WFC3

Billy Edwards, Quentin Changeat, Angelos Tsiaras +27

We present an atmospheric analysis of LTT 9779 b, a rare planet situated in the hot Neptune desert, that has been observed with HST WFC3 G102 and G141. The combined transmission sp…

astro-ph.EP2023★ 2 cited

Towards 3D Retrieval of Exoplanet Atmospheres: Assessing Thermochemical Equilibrium Estimation Methods

Michael D. Himes, Joseph Harrington, Atilim Gunes Baydin

Characterizing exoplanetary atmospheres via Bayesian retrievals requires assuming some chemistry model, such as thermochemical equilibrium or parameterized abundances. The higher-r…

astro-ph.EP2022★ 9 cited

On the Dayside Atmosphere of WASP-12b

Michael D. Himes, Joseph Harrington

The atmospheric structure of WASP-12b has been hotly contested for years, with disagreements on the presence of a thermal inversion as well as the carbon-to-oxygen ratio, C/O, due…

astro-ph.EP2021

An open-source Bayesian atmospheric radiative transfer (BART) code: III. Initialization, atmospheric profile generator, post-processing routines, and application to exoplanet WASP-43b

Jasmina Blecic, Joseph Harrington, Patricio E. Cubillos +12

This and companion papers by Harrington et al. 2021, submitted and Cubillos et al. 2021, submitted describe an open-source retrieval framework, Bayesian Atmospheric Radiative Trans…

astro-ph.EP2021★ 2 cited

An Open-Source Bayesian Atmospheric Radiative Transfer (BART) Code: I. Design, Tests, and Application to Exoplanet HD 189733 b

Joseph Harrington, Michael D. Himes, Patricio E. Cubillos +14

We present the open-source Bayesian Atmospheric Radiative Transfer (BART) retrieval package, which produces estimates and uncertainties for an atmosphere's thermal profile and chem…

astro-ph.EP2021

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code: II. The Transit Radiative-transfer Module and Retrieval of HAT-P-11b

Patricio E. Cubillos, Joseph Harrington, Jasmina Blecic +9

This and companion papers by Harrington et al. and Blecic et al. present the Bayesian Atmospheric Radiative Transfer (BART) code, an open-source, open-development package to charac…

astro-ph.IM2020★ 1 cited

Identification and Mitigation of a Vibrational Telescope Systematic with Application to Spitzer

Ryan C. Challener, Joseph Harrington, James Jenkins +17

We observed Proxima Centauri with the Spitzer Space Telescope InfraRed Array Camera (IRAC) five times in 2016 and 2017 to search for transits of Proxima Centauri b. Following stand…

astro-ph.IM2020★ 32 cited

Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade

Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13

Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…

astro-ph.IM2020★ 43 cited

Accurate Machine Learning Atmospheric Retrieval via a Neural Network Surrogate Model for Radiative Transfer

Michael D. Himes, Joseph Harrington, Adam D. Cobb +8

Atmospheric retrieval determines the properties of an atmosphere based on its measured spectrum. The low signal-to-noise ratio of exoplanet observations require a Bayesian approach…

astro-ph.EP2019★ 67 cited

An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval

Adam D. Cobb, Michael D. Himes, Frank Soboczenski +7

Machine learning is now used in many areas of astrophysics, from detecting exoplanets in Kepler transit signals to removing telescope systematics. Recent work demonstrated the pote…

astro-ph.EP2019★ 32 cited

Proxima Centauri b is not a transiting exoplanet

James S. Jenkins, Joseph Harrington, Ryan C. Challener +19

We report Spitzer Space Telescope observations during predicted transits of the exoplanet Proxima Centauri b. As the nearest terrestrial habitable-zone planet we will ever discover…

astro-ph.EP2018★ 18 cited

Bayesian Deep Learning for Exoplanet Atmospheric Retrieval

Frank Soboczenski, Michael D. Himes, Molly D. O'Beirne +8

Over the past decade, the study of extrasolar planets has evolved rapidly from plain detection and identification to comprehensive categorization and characterization of exoplanet…