LabCompass

Michael Carrigan

Physics and Astronomy · The Ohio State University

Mid career · publishing since 2008Rising activity

Publications

380

Citations

2,132

Est. group size

Recurring co-author estimate

Active years

19

Publishing since 2008

Research summary
AI-generated

Michael Carrigan works on experimental particle physics as part of large international collaborations (notably CMS, based on the proton-proton collision studies) that use the Large Hadron Collider to study fundamental particles and forces. His work spans measurements of known particles like the Higgs boson, W/Z bosons, and top quarks, as well as searches for new, undiscovered particles and phenomena such as dark matter candidates, supersymmetric particles, and long-lived particles. He also contributes to methodological work applying machine learning techniques to improve how physicists analyze collider data.

High-energy particle collisions (LHC physics)Higgs boson measurementsSearches for new physics (dark matter, supersymmetry, long-lived particles)Heavy-ion and quark-gluon plasma studiesMachine learning for particle physics data analysis

Publication output has grown substantially over the last decade, rising sharply from a handful of papers per year around 2017-2021 to over 100 per year by 2024, reflecting the very high output typical of large collider collaborations.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 58.4/year recently
2017: 4 publications172018: 16 publications182019: 34 publications192020: 26 publications202021: 3 publications212022: 5 publications222023: 51 publications232024: 116 publications116242025: 73 publications252026: 47 publications26
Recent publications
Publishes in
  • Journal of High Energy Physics×77
  • arXiv (Cornell University)×44
  • Physics Letters B×33
  • Physical Review Letters×31
  • DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)×31
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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.

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