output
19962024
most citedModules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

599 citations

73 papers

cs.LG2024

Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning

Andrew Root, Liam Jakubowski, Mounika Vanamala

It is well known that the usefulness of a machine learning model is due to its ability to generalize to unseen data. This study uses three popular cyberbullying datasets to explore…

astro-ph.HE2024★ 2 cited

Observed epochal variations in X-ray lines from the O Supergiant Puppis do not require substantial changes in the wind mass flux

Sean J. Gunderson, Kenneth G. Gayley, David P. Huenemoerder +2

We fit the high resolution \textit{Chandra} X-ray spectra of the O supergiant Puppis using the variable boundary condition (VBC) line model to test the stability of its mass-lo…

cs.CV2024★ 35 cited

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

Qian Gong, Jieyang Chen, Ben Whitney +13

We describe MGARD, a software providing MultiGrid Adaptive Reduction for floating-point scientific data on structured and unstructured grids. With exceptional data compression capa…

math.GT2023

Whitney tower concordance and knots in homology spheres

Christopher William Davis

In a groundbreaking work A. Levine proved the surprising result that there exist knots in homology spheres which are not smoothly concordant to any knot in , even if one allow…

astro-ph.SR2022★ 599 cited

Modules for Experiments in Stellar Astrophysics (MESA): Time-Dependent Convection, Energy Conservation, Automatic Differentiation, and Infrastructure

Adam S. Jermyn, Evan B. Bauer, Josiah Schwab +19

We update the capabilities of the open-knowledge software instrument Modules for Experiments in Stellar Astrophysics (MESA). The new auto_diff module implements automatic different…

astro-ph.HE2022★ 4 cited

Testing the Reliability of X-rays as a Tool for Constraining Mass-loss Rates of Hot Stars

Sean J. Gunderson, Kenneth G. Gayley, Pragati Pradhan +2

We fit a new line shape model to \textit{Chandra} X-ray spectra of the O supergiant Puppis to test the robustness of mass-loss rates derived from X-ray wind line profiles again…