M. Kagan
Physics and Astronomy · The Ohio State University
Publications
1,478
Citations
74,476
Est. group size
—
Recurring co-author estimate
Active years
30
Publishing since 1997
M. Kagan works in experimental particle physics, focusing on data from the ATLAS detector at the Large Hadron Collider, including searches for new particles related to the Higgs boson and studies of top quark production. A major part of this work involves developing machine learning methods—such as particle-flow reconstruction and foundation models—to better interpret detector data and analyze physics events, including for future collider projects like the Future Circular Collider.
Publication output was fairly steady at 60-85 papers per year from 2017-2022, then increased substantially to over 130 papers per year in 2023-2024, reflecting a notably high and growing level of activity in recent years.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Log Gaussian Cox process background modeling in high energy physics
Machine Learning Science and Technology · 2026
- Search for a resonance decaying into a scalar particle and a Higgs boson in the final state with two bottom quarks and two photons with 199 fb−1 of data collected at s=13 and 13.6 TeV with the ATLAS detector
Physics Letters B · 2026
- MLPF as a foundation model — downstream evaluation dataset (FCC-ee CLD, e⁺e⁻ → tt, √s = 365 GeV)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- MLPF as a foundation model — downstream evaluation dataset (FCC-ee CLD, e⁺e⁻ → tt, √s = 365 GeV)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Future Circular Collider Feasibility Study Report
The European Physical Journal Special Topics · 2025
- Future Circular Collider Feasibility Study Report
The European Physical Journal Special Topics · 2025
- Is tokenization needed for masked particle modeling?
Machine Learning Science and Technology · 2025
- Resimulation-based self-supervised learning for pretraining physics foundation models
Physical review. D/Physical review. D. · 2025
- Search for a heavy charged Higgs boson decaying into a W boson and a Higgs boson in final states with leptons and b-jets in $$ \sqrt{s} $$ = 13 TeV pp collisions with the ATLAS detector
Journal of High Energy Physics · 2025
- Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders
Physical review. D/Physical review. D. · 2025
- Flow annealed importance sampling bootstrap meets differentiable particle physics
Machine Learning Science and Technology · 2025
- Constraint on the total width of the Higgs boson from Higgs boson and four-top-quark measurements in pp collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector
arXiv (Cornell University) · 2025
- Brief for Amicus Curiae Professors Michael Kagan and Christopher J. Walker in Support of Rehearing En Banc
SSRN Electronic Journal · 2025
- Author response for "Is Tokenization Needed for Masked Particle Modelling?"
2025
- Author response for "Is Tokenization Needed for Masked Particle Modelling?"
2025
- Journal of High Energy Physics×220
- The European Physical Journal C×213
- Physics Letters B×96
- arXiv (Cornell University)×85
- Physical review. D/Physical review. D.×84
- A. Lapertosa
Physics and Astronomy · Purdue University West Lafayette
- A. Li
Physics and Astronomy · Indiana University
- A. G. Myagkov
Physics and Astronomy · Indiana University
- A. J. Myers
Physics and Astronomy · Indiana University
- A. Lounis
Physics and Astronomy · Indiana University
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 19, 2026.
Claim or correct this profile