Ian Moult
| Ian Moult | |
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| Born | Vancouver, British Columbia, Canada |
| 🏳️ Citizenship | Canadian |
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| 🏅 Awards |
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| 🌐 Website | physics |
Ian J. Moult is a Canadian theoretical particle physicist and assistant professor of physics at Yale University, where he is a member of the Particle Theory Group and Wright Lab.[1] His research focuses on developing new techniques in quantum field theory for describing high-energy particle physics experiments, with applications ranging from dark matter detection to the Large Hadron Collider (LHC).[2] He is known for his contributions to jet substructure and for pioneering the study of energy correlators as probes of quantum chromodynamics (QCD) and connections to conformal field theory.[3]
Education
Moult grew up in Vancouver, Canada, and received his B.Sc. from the University of British Columbia in 2011.[4] He obtained his Ph.D. in theoretical particle physics from the Massachusetts Institute of Technology (MIT) in 2016, supervised by Iain W. Stewart.[5] His doctoral dissertation developed novel techniques for jet substructure calculations, including new observables for tagging boosted electroweak bosons and helicity operator methods for studying quantum interference effects involving the Higgs boson.[5]
Career
Following his doctorate, Moult held postdoctoral positions at the Berkeley Center for Theoretical Physics and the University of California, Berkeley (2016–2019), and at SLAC National Accelerator Laboratory and Stanford University (2019–2021).[1] He joined the Yale University Department of Physics as an assistant professor in 2021.[6][7]
Research
Jet substructure
Moult has played a leading role in the development of jet substructure, a set of techniques that exploit the internal structure of jets at the LHC to search for new physics and probe the Standard Model.[1] A central theme in his work is the use of effective field theories, particularly soft-collinear effective theory (SCET), to enable precision calculations relevant for collider experiments.[2]
During his doctoral research, Moult developed power-counting methods for jet observables and introduced analytic techniques for discriminating boosted heavy particles from QCD backgrounds.[8][9] He co-authored an influential review of jet substructure with Andrew Larkoski and Benjamin Nachman, covering both theoretical developments and machine learning techniques.[10]
Moult also introduced the method of convolved substructure (CSS), which uses analytic understanding of jet observables to decorrelate their distributions from the jet mass, with applications to searches for light new particles at the LHC.[11]
Energy correlators
Moult has been a pioneer in developing energy correlators as precision probes of QCD and their connections to formal quantum field theory.[3] Energy correlators measure the energy deposited in multiple detectors as a function of the angles between them, and are described theoretically by energy flow operators.[12]
With Lance Dixon and Hua Xing Zhu, Moult derived the factorization formula for the energy-energy correlator (EEC) in the collinear limit, enabling resummation of logarithmically enhanced contributions to all orders in a generic quantum field theory.[13] He and collaborators subsequently computed the three-point energy correlator in the collinear limit, uncovering an intriguing duality between energy correlator integrals and Feynman parameter integrals for loop amplitudes, and revealing connections between jet substructure observables and conformal field theory.[14]
A number of the energy correlator observables introduced by Moult and collaborators have since been measured experimentally at the LHC by the CMS and ALICE collaborations, as well as in heavy-ion collisions, providing new probes of the quark–gluon plasma.[3][15] At Yale, several experimental measurements of energy correlators were first demonstrated by members of the heavy-ion group at Wright Lab.[3]
Other contributions
Moult has also worked on the infrared structure of gauge theories, subleading corrections in soft-collinear effective theory, and applications of machine learning to jet physics, including work on boosting Higgs boson identification using deep learning techniques.[2][10]
Awards and honors
- Sloan Research Fellowship in Physics (2025)[16][17]
- IUPAP Early Career Scientist Prize in Particle Physics (2024)[18]
- Wu-Ki Tung Award for Early-Career Research on QCD (2024)[3]
- J. J. and Noriko Sakurai Dissertation Award in Theoretical Particle Physics, American Physical Society (2017)[5]
- Andrew M. Lockett Memorial Fund Award for Graduate Research, MIT (2015)[5]
- Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Fellowship (2012–2015)[5]
Selected publications
- Larkoski, Andrew J.; Moult, Ian; Nachman, Benjamin (2020). "Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning". Physics Reports. 841: 1–63. arXiv:1709.04464. doi:10.1016/j.physrep.2019.11.001.
- Dixon, Lance J.; Moult, Ian; Zhu, Hua Xing (2019). "Collinear limit of the energy-energy correlator". Physical Review D. 100 (1): 014009. arXiv:1905.01310. doi:10.1103/PhysRevD.100.014009.
- Chen, Hao; Luo, Ming-Xing; Moult, Ian; Yang, Tong-Zhi; Zhang, Xiaoyuan; Zhu, Hua Xing (2020). "Three-Point Energy Correlators in the Collinear Limit: Symmetries, Dualities and Analytic Results". Journal of High Energy Physics. 2020 (8): 028. arXiv:1912.11050. doi:10.1007/JHEP08(2020)028.
- {Moult, Ian; Zhu, Hua Xing (2025). "Energy Correlators: A Journey From Theory to Experiment". arXiv:2506.09119 [hep-ph].
- Larkoski, Andrew J.; Moult, Ian; Neill, Duff (2016). "Analytic Boosted Boson Discrimination". Journal of High Energy Physics. 2016 (5): 117. arXiv:1507.03018. doi:10.1007/JHEP05(2016)117.
References
- ↑ 1.0 1.1 1.2 "Ian Moult". Yale Department of Physics. Retrieved 2026-02-22.
- ↑ 2.0 2.1 2.2 "Ian Moult". Yale Wright Laboratory. Retrieved 2026-02-22.
- ↑ 3.0 3.1 3.2 3.3 3.4 "Ian Moult received the Wu-Ki Tung Award for Early-Career Research on QCD". Yale Department of Physics. Retrieved 2026-02-22.
- ↑ "Ian Moult". CTEQ. Retrieved 2026-02-22.
- ↑ 5.0 5.1 5.2 5.3 5.4 "Ian Moult – Prize Recipient". American Physical Society. Retrieved 2026-02-22.
- ↑ "New Faculty 2021-2022". Yale Department of Physics. Retrieved 2026-02-22.
- ↑ "Ian Moult". Yale Faculty of Arts and Sciences. Retrieved 2026-02-22.
- ↑ Larkoski, Andrew J.; Moult, Ian; Neill, Duff (2014). "Power Counting to Better Jet Observables". Journal of High Energy Physics. 2014 (12): 009. arXiv:1409.6298. Bibcode:2014JHEP...12..009L. doi:10.1007/JHEP12(2014)009.
- ↑ Larkoski, Andrew J.; Moult, Ian; Neill, Duff (2016). "Analytic Boosted Boson Discrimination". Journal of High Energy Physics. 2016 (5): 117. arXiv:1507.03018. Bibcode:2016JHEP...05..117L. doi:10.1007/JHEP05(2016)117.
- ↑ 10.0 10.1 Larkoski, Andrew J.; Moult, Ian; Nachman, Benjamin (2020). "Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning". Physics Reports. 841: 1–63. arXiv:1709.04464. Bibcode:2020PhR...841....1L. doi:10.1016/j.physrep.2019.11.001.
- ↑ Moult, Ian; Nachman, Benjamin; Neill, Duff (2018). "Convolved substructure: analytically decorrelating jet substructure observables". Journal of High Energy Physics. 2018 (5): 002. arXiv:1710.06859. Bibcode:2018JHEP...05..002M. doi:10.1007/JHEP05(2018)002.
- ↑ Moult, Ian; Zhu, Hua Xing (2025). "Energy Correlators: A Journey From Theory to Experiment". arXiv:2506.09119.
- ↑ Dixon, Lance J.; Moult, Ian; Zhu, Hua Xing (2019). "Collinear limit of the energy-energy correlator". Physical Review D. 100 (1): 014009. arXiv:1905.01310. Bibcode:2019PhRvD.100a4009D. doi:10.1103/PhysRevD.100.014009.
- ↑ Chen, Hao; Luo, Ming-Xing; Moult, Ian; Yang, Tong-Zhi; Zhang, Xiaoyuan; Zhu, Hua Xing (2020). "Three-Point Energy Correlators in the Collinear Limit: Symmetries, Dualities and Analytic Results". Journal of High Energy Physics. 2020 (8): 028. arXiv:1912.11050. Bibcode:2020JHEP...08..028C. doi:10.1007/JHEP08(2020)028.
- ↑ Andres, Carlota; Dominguez, Fabio; Holguin, Jack; Marquet, Cyrille; Moult, Ian (2023). "A coherent view of the quark-gluon plasma from energy correlators". Journal of High Energy Physics. 2023 (9): 088. arXiv:2303.03413. Bibcode:2023JHEP...09..088A. doi:10.1007/JHEP09(2023)088.
- ↑ "Moult awarded 2025 Sloan Research Fellowship". Yale Department of Physics. 2025-02-19. Retrieved 2026-02-22.
- ↑ Shelton, Jim (2025-02-19). "Four Yale faculty members win Sloan Research Fellowships". Yale News. Retrieved 2026-02-22.
- ↑ "Moult receives 2024 Early Career Scientist Prize in Particle Physics". Yale Department of Physics. Retrieved 2026-02-22.
External links
- Yale Department of Physics – Ian Moult
- Wright Laboratory profile
- INSPIRE-HEP profile
- Publications on arXiv
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