Scientific Research

Planetary remnants & white dwarf atmospheres

What's left when a planetary system dies? I study the debris that falls onto white dwarfs to find out.

The research

I work on polluted white dwarfs — stars that have accreted rocky planetary material, leaving chemical traces in their atmospheres and sometimes maintaining dusty or gaseous disks in orbit.

My tools are spectroscopy, radiative transfer modeling, and photometric time series. A big part of the work is building and running model grids large enough to actually constrain what I'm seeing.

Core field Polluted white dwarfs, planetary debris, circumstellar disks
Primary tools Spectroscopy, radiative transfer, dust modeling, computational analysis
Scientific goal Connecting observed material around white dwarfs to the chemistry and architecture of planetary systems

Research themes

Artistic representation of a white dwarf with a circumstellar disk from tidal disruption of a planetesimal
An artistic representation of a white dwarf with a disk produced from the tidal disruption of a rogue planetesimal. From spectroscopic observations of the gaseous phase of the sublimated material, we directly learn the composition of the planetesimal.

Methods

How I actually do the work:

Spectroscopy

Reading spectra to identify and measure absorption features — the main way I get composition and temperature information from the stars.

Disk modeling

Building models of the dust and gas around white dwarfs and comparing them to observed infrared and optical emission.

Parameter exploration

Running large grids of models to map out which parameters are well-constrained by the data and which aren't.

Scientific software

Python pipelines, databases, and visualization tools that make long-running analyses easier to track and reproduce.

Skills that carry over

What research actually trains you to do:

Scientific skills

  • Working with noisy, incomplete data that requires physical judgment
  • Comparing observations to models without over-interpreting the fit
  • Setting up slow, expensive computations so they can actually finish
  • Explaining what you know, what you don't, and why it matters
  • Sitting with ambiguity long enough to get an honest answer

Technical skills

  • Python for scientific computing and analysis automation
  • Running and organizing large model grids
  • Data cleaning, transformation, and visualization
  • SQL for keeping track of model outputs and metadata
  • Building tools that make results easier to search and inspect

Selected research outputs

A curated list of publications, talks, and research products. See CV for a full list.

Modeling Circumstellar Gas Emission around a White Dwarf Using Cloudy Xu, Yeh, Rogers, Steele et al. — The Astronomical Journal, 2024
A Characterization of the Circumstellar Gas around WD 1124-293 using Cloudy Steele, Debes, Xu, Yeh, Dufour — The Astrophysical Journal, 2021
How Sublimation Delays the Onset of Dusty Debris Disk Formation Around White Dwarf Stars Steckloff, Debes, Steele et al. — The Astrophysical Journal Letters, 2021