activity
20192025
most citedStochastic Low Frequency Variability in 3-Dimensional Radiation Hydrodynamical Models of Massive Star Envelopes

42 citations · 126 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.EP2025

The Roman Space Telescope as a Planetary Defense Asset

Bryan J. Holler, Richard G. Cosentino, William C. Schultz +5

NASA's Nancy Grace Roman Space Telescope, slated to launch in October 2026, will serve a critical role in the characterization and threat assessment of near-Earth Objects (NEOs), t…

astro-ph.SR2023★ 16 cited

Turbulence Supported Massive Star Envelopes

William Schultz, Lars Bildsten, Yan-Fei Jiang

The outer envelopes of massive () stars exhibit large increases in opacities from forests of lines and ionization transitions (particularly from iron and hel…

astro-ph.SR2022★ 13 cited

Synthesizing Spectra from 3D Radiation Hydrodynamic Models of Massive Stars Using Monte Carlo Radiation Transport

William C. Schultz, Benny T. H. Tsang, Lars Bildsten +1

Observations indicate that turbulent motions are present on most massive star surfaces. Starting from the observed phenomena of spectral lines with widths much larger than thermal…

astro-ph.SR2021★ 42 cited

Stochastic Low Frequency Variability in 3-Dimensional Radiation Hydrodynamical Models of Massive Star Envelopes

William C. Schultz, Lars Bildsten, Yan-Fei Jiang

Increasing main sequence stellar luminosity with stellar mass leads to the eventual dominance of radiation pressure in stellar envelope hydrostatic balance. As the luminosity appro…

astro-ph.SR2020★ 28 cited

Convectively Driven Three Dimensional Turbulence in Massive Star Envelopes: I. A 1D Implementation of Diffusive Radiative Transport

William Schultz, Lars Bildsten, Yan-Fei Jiang

Massive (M) stars exhibit luminosities that are near the Eddington-limit for electron scattering causing the increase in opacity associated with iron at $T\appro…

astro-ph.IM2019★ 27 cited

Deep Neural Network Classifier for Variable Stars with Novelty Detection Capability

Benny T. -H. Tsang, William C. Schultz

Common variable star classifiers are built only with the goal of producing the correct class labels, leaving much of the multi-task capability of deep neural networks unexplored. W…