Data Analysis, Machine Learning, & More
Wolf, Carter Matthew · 2025
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Description
Los Alamos report LA-UR-25-31801, by Carter Wolf, recounts a student internship under the SULI program in Tika Kafle's optics group at the lab's MagLab facility in TA-35. The group's tool is time-resolved ARPES, which maps electron energies in a material and follows them after a flash of light. The method serves studies of superconductors, graphene, and topological insulators.
Wolf's project attacked noisy ARPES data: noisy energy curves can throw off fitted values such as electron temperature. A bad fit can make the excited material look as if it were still at rest. He built a U-net machine learning model with fifteen training layers, following published work, to clean the spectra before fitting. The report mixes the data work with machine learning background and the wider ARPES method.
Catalog record
| CREATOR | Wolf, Carter Matthew |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 12 KB |
| LICENSE | Public Domain |
| RIGHTS | PUBLIC DOMAIN |
| SOURCE | DOE OSTI |