J. Shortino

Physics and Astronomy · Indiana University

Dark Matter and Cosmic Phenomena Atomic and Subatomic Physics Research Quantum, superfluid, helium dynamics Computational Physics and Python Applications Distributed and Parallel Computing Systems

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2012

Research summary

AI-generated

J. Shortino works in experimental physics focused on searching for hypothetical particles and forces beyond the known laws of nature. Their work includes the ARIADNE experiment, which looks for the axion (a proposed particle that could explain dark matter), and precision measurements using nuclear magnetic resonance (NMR) techniques to detect exotic interactions between atomic nuclei. This research sits at the intersection of particle physics, cosmology, and precision measurement.

Axion and dark matter searchesPrecision nuclear magnetic resonance (NMR) measurementsTests of fundamental symmetriesExotic forces between particlesExperimental particle physics

Publication activity has been modest and intermittent over the past decade, with a small peak around 2020 and a slowing pace in recent years (roughly 0.4 papers per year over the last five years).

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 0.4/year recently

Recent publications

Progress on the ARIADNE Axion Experiment
Springer proceedings in physics · 2018
Progress on the ARIADNE axion experiment
arXiv (Cornell University) · 2017
Searching for Exotic Monopole-Dipole Interactions between Nucleons Using NMR Measurements with an Optically-Pumped Polarized Xenon Comagnetometer
CPT and Lorentz Symmetry · 2017

Publishes in

Springer proceedings in physics×2
arXiv (Cornell University)×2
CPT and Lorentz Symmetry×2
Physical Review Research×1
Review of Scientific Instruments×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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