Ph.D. candidate in physics · University of Michigan

Ethan Todd

Nuclear measurement, reproducible analysis, and the software that goes with it.

$ nix develop github:ewtodd/Analysis-Utilities
ROOT 6.40 · CUDA 13 · analysis-utilities ready
$ root -l fit.cpp+
unbinned EML fit · 4.1M events
  GPU doEval ......... 6.2 s
  # ~2 min on the OpenMP CPU path
Detector physics C++ · CUDA · Nix 7 publications Ann Arbor, MI ORCID 0009-0003-5162-9044
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01 · Work

Nuclear measurement, reproducible analysis, and the software that goes with it

I am a physics Ph.D. candidate at the University of Michigan, working in the Applied Nuclear Science Group and, since summer 2026, with the Low Energy Physics Group at Argonne National Laboratory.

My dissertation research focuses primarily on two nuclear data measurements with next-generation applications: a 72Ge(n,g)73mGe low energy gamma ray with implications for practical neutrino detection, and a 37Cl(alpha, n)40K cross section relevant for molten salt reactor neutronics. When allowed, my code is open source; it is always documented, and pinned with Nix.

The API references are generated from the same commit that builds the libraries, and my homelab is described in its repository too.

03 · Publications

Selected publications

Newest first. The full list, with presentations, teaching and awards, is on the CV.

  1. Super-Lindhard Ionization from 254 eVnr Nuclear Recoils in Germanium

    A. R. L. Kavner, E. Todd, M. Babicz, et al.

    2026 under review

  2. Digital Pulse Processing for Mixed-Field Ionizing Radiation Detection in Rare Event Nuclear Experiments

    V. Fondement, J. Bae, F. Rahman, et al.

    Fusion Science and Technology 2026 doi:10.1080/15361055.2026.2732349

  3. Updated 78mBr 2−→1+ Lifetime from Isomeric Decay Cascade in Active Target

    V. Fondement, E. Todd, I. Jovanovic

    Nuclear Physics A 2026 doi:10.1016/j.nuclphysa.2026.123485