activity
20192026
most citedSupernova Shocks Cannot Explain the Inflated State of Hypervelocity Runaways from White Dwarf Binaries

9 citations · 18 across the 14 of their papers we have counts for

collaborators
Showing astro-ph.SRShow all

5 papers · 1 filter

astro-ph.SR2026

Disco in the Dust: Reflected light at the bow shock around Betelgeuse's companion explains its observed luminosity

Jared A. Goldberg, Meridith Joyce, Anna J. G. O'Grady +6

Recent detections of Orionis B, the putative companion to Betelgeuse, have been reported using multiple instruments and techniques. These include, most recently, a detect…

astro-ph.SR2025

Introducing STARDIS: An Open and Modular Stellar Spectral Synthesis Code

Joshua V. Shields, Wolfgang Kerzendorf, Isaac G. Smith +7

We introduce a new 1D stellar spectral synthesis Python code called stardis. stardis is a modular, open-source radiative transfer code that is capable of spectral synthesis from ne…

astro-ph.SR2025

Nuclear Neural Networks: Emulating Late Burning Stages in Core Collapse Supernova Progenitors

Aldana Grichener, Mathieu Renzo, Wolfgang E. Kerzendorf +7

One of the main challenges in modeling massive stars to the onset of core collapse is the computational bottleneck of nucleosynthesis during advanced burning stages. The number of…

astro-ph.SR2024★ 9 cited

Supernova Shocks Cannot Explain the Inflated State of Hypervelocity Runaways from White Dwarf Binaries

Aakash Bhat, Evan B. Bauer, Rüdiger Pakmor +5

Recent observations have found a growing number of hypervelocity stars with speeds of km\,s which could have only been produced through thermonuclear su…

astro-ph.SR2023★ 9 cited

Scalable stellar evolution forecasting: Deep learning emulation vs. hierarchical nearest neighbor interpolation

K. Maltsev, F. R. N. Schneider, F. K. Roepke +5

Many astrophysical applications require efficient yet reliable forecasts of stellar evolution tracks. One example is population synthesis, which generates forward predictions of mo…